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1.267
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Oncology
Cancer Research
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Biochemistry, Genetics and Molecular Biology
Medicine
Years of issue
1981-2025
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Breast Cancer Research and Treatment
BREAST CANCER RES TR
Top-3 citing journals

Breast Cancer Research and Treatment
(17957 citations)

Cancers
(6350 citations)

PLoS ONE
(5232 citations)
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Harvard University
(374 publications)

University of Toronto
(321 publications)

University of Texas MD Anderson Cancer Center
(318 publications)

Harvard University
(95 publications)

Dana-Farber Cancer Institute
(72 publications)

Memorial Sloan Kettering Cancer Center
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Most cited in 5 years
Found
Publications found: 88

Analysis of predictors of smoking and alcohol abuse among healthcare workers considering specialty and gender differences
Fadeeva E.V., Lanovaya A.M.
Results of foreign studies indicate a relatively high prevalence of smoking and alcohol consumption among healthcare workers, which can be explained by various socio-demographic and psycho-emotional characteristics, as well as stressinducing and psychological trauma factors related to their professional duties.Aim. Analyse predictors of smoking and alcohol abuse among health care workers.Materials and methods. The ASSIST screening test was used to assess the severity of clinically significant symptoms of substance abuse. The IES-R and K-10 questionnaires were used to evaluate psycho-emotional states.Results. It was found that among men working in the “obstetrics and gynecology” specialty, a significant predictor of smoking was a high level of distress (p ≤ 0.05), and alcohol abuse was associated with the absence of a marital relationship (p ≤ 0.01). For women, alcohol abuse was related to increasing age (p ≤ 0.001), high income (p ≤ 0.01), living in a large urban area (p ≤ 0.05), and being married (p ≤ 0.01). Among men working in the “psychiatry and addiction medicine” specialty, alcohol abuse was associated with high income (p ≤ 0.01) and education levels (p ≤ 0.05). For women, there were associations between alcohol abuse and young age (p ≤ 0.01), high income (p ≤ 0.001) and education levels (p ≤ 0.01), distress (p ≤ 0.001), and post-traumatic stress disorder symptoms (p ≤ 0.05). For women, regardless of specialty, smoking and alcohol consumption were positively correlated (p ≤ 0.001).Conclusion. The identified predictors of addictive behavior could become targets for targeted psychological and medical interventions.

Regulatory legal regulation of the organization and financial provision of supportive therapy for oncological diseases and directions for its optimization
Zheleznyakova I.A.
The potential benefits of supportive care offer patients more than many “palliative” methods of anti-tumor treatment. It should be regarded as a necessary part of comprehensive disease therapy rather than just an additional service. However, the imperfection of regulatory and organizational issues, including financial support, limits patients’ access to supportive therapy.Aim. To analyze regulatory legal documents governing the organization and financial provision of supportive therapy for oncological diseases and identify areas for optimization.Materials and methods. Content analysis and comparative legal analysis. The content analysis method was applied to 26 directly regulating various organizational aspects of medical care, including oncological diseases from 2012 to the present. In regulatory legal acts, the issues of organization and financing of supportive therapy for oncological diseases were specifically analyzed in terms of how well this area of medical care is regulated.Results. The current fundamental regulatory legal acts governing the organization and financial provision of supportive therapy for oncological diseases and controlling the quality of the provided medical care contain almost no clear provisions that specify practical issues related to supportive therapy.Conclusion. The absence of an officially established definition of “supportive therapy” within the Russian healthcare system and the lack of clear distinctions between the terms “medical rehabilitation” and “palliative care” lead to misunderstanding about the importance of this area in comprehensive oncological therapy. This results in uncertainty in organizational and financial matters. To optimize regulatory oversight, ‘supportive therapy’ should become an integral component of modern oncological disease management, implying both interdisciplinary cooperation and a transparent financial system, the adequacy of which will depend on what is included in this concept.

The prevalence of the use of publicly available digital communication technologies by doctors in professional communication with patients
Romanova T.E., Abaeva O.P., Romanov S.V., Dzyubak S.A.
In addition to officially authorized information resources, doctors of medical organizations widely use publicly available means of digital communication in professional communication with patients, which poses a threat to the disclosure of personal data and information about the patient’s health status.Aim. To study the frequency of use of publicly available digital means of communication by doctors in professional communication with patients.Materials and methods. A survey based on author’s questionnaires of 240 doctors, among whom 36.6 ± 3.1% worked in a polyclinic, 18.3 ± 2.4% – in a rural hospital, 45.1 ± 3.2% – in a multidisciplinary urban hospital. Among the respondents were representatives of various age groups and medical specialties.Results. According to the survey results, only 18.2 ± 2.5% of respondents do not use publicly available digital technologies when communicating with patients. Doctors mainly use messengers (Whatsapp, Viber and others) (44.6 ± 3.2% of respondents), e-mail (24.5 ± 2.8%), less often social networks (12.6 ± 2.1%). As doctors move into older age groups, they use digital technologies less often to communicate with patients (p = 0.045), communication with patients using digital means of communication is more common among male doctors than among female doctors (p = 0.04). The number of doctors using digital technologies in communicating with patients in the city hospital turned out to be significantly higher compared to the central district hospital (p < 0.0001) and polyclinic (p < 0.0001). Doctors of therapeutic specialties are less likely to use digital technologies to communicate with a patient than specialists in surgical specialties (p = 0.04).Conclusion. The results of the study indicate a high prevalence of the use of publicly available digital communication tools by doctors when communicating with patients: 81.8 ± 2.5% of respondents reported such a practice. At the same time, such unsecured communication channels as messengers and e-mail are the most in demand.

Organizational and legal aspects of providing medical care using telemedicine technologies in Russian Federation and foreign countries
Murashko M.A., Panin A.I., Chigrina V.P., Tyufilin D.S., Khodakova O.V., Deev I.A., Kobyakova O.S.
The global telemedicine technology (TMT) regulatory landscape is currently evolving in a number of ways. The goal is to carry out an analytical examination of the institutional and legal frameworks for medical treatment including telemedicine consultation (TMC) in Russian Federation and foreign countries. The regulatory legal regulation of 22 international healthcare systems was included in the final version of the review. The review’s findings allow for the identification of the most important organizational and legal facets of delivering healthcare via TMC abroad: the majority of foreign nations lack comprehensive legal regulations governing the use of TMT in healthcare; the ability to establish a diagnosis within the context of TMC only follows an initial in-person consultation with a doctor; conducting TMC exclusively by licensed medical professionals and medical organizations; the option to conduct TMC via government-designed platforms and publicly accessible information platforms; requiring the patient to be informed about the benefits and drawbacks of TMT prior to consultation and to provide written or verbal informed consent; and requiring adherence to standards and recommendations during TMC, application, and in-person admission of the patient. The analysis demonstrates how commonplace TMC is abroad. However, there are currently no well-defined organizational or regulatory requirements for the use of TMC in the delivery of medical care, which calls for additional research into global experience and the identification of best practices that may be expanded throughout the Russian Federation.

Methods and procedures for assessing the culture of adolescent health
Biryukova N.V., Butareva M.M.
The development of a human health culture is a complex health issue that requires the establishment of a system of health education and training from an early age. The duration and complexity of developing a culture of healthy living require scientifically based, targeted and systematic interventions on adolescents to develop behaviours that ensure a high level of health culture. The lack of a common definition of a health culture limits its quantification and comparison. In the course of the work, a theoretical analysis of the scientific literature was conducted to study the diversity of approaches to the evaluation of the culture of adolescent health. The most common methods of studying health culture are given. It has been revealed that to assess the level of health culture from the medical point of view there is a certain lack of complex theoretical approaches and instrumental methods that could allow to assess the studied phenomenon taking into account all its diversity. A synthesis of experiences and analysis shows that there is a need to develop a universal system of evaluation of adolescent health culture with a high adaptive capacity and the ability to adapt to any group of adolescents.

The creation of competence centers (using the example of the organization of outpatient cancer care centers) in the public health system: The experience of Moscow
Gadzhieva S.M.
The large-scale transformation of the capital’s healthcare system included the creation of competence centers to provide citizens with affordable and high-quality medical care in the most popular fields, including oncology. To provide medical care to patients with neoplasms in a full cycle, outpatient cancer care centers were included in the structure of cancer centers. Aim. To analyze Moscow’s experience in launching competence centers using the example of creating outpatient cancer care centers. Materials and methods. In the course of the research, a content analysis of literary data and regulatory legal acts of the Moscow Healthcare Department was used. The analysis of indicators of primary morbidity of the entire population (A00-T98) and by class of neoplasm (C00-D48) in Russia as a whole, the Central Federal District according to Rosstat and Moscow. A sociological method was used in the form of a survey and questionnaire of patients. Results. The number of all registered diseases in the medical organizations of the Moscow Healthcare Department in 2022 amounted to 752.4 cases per 1000 population, which is lower than in Russia and the Central Federal District. The number of registered malignant neoplasms in 2022 was 12.0 cases per 1000 population, which is higher than the average for Russia and the Central Federal District. In Moscow, in 2022, for the first time, 65 % of patients with malignant neoplasms detected at stages I and II were registered at the dispensary. The proportion of patients registered for 5 years or more in 2022 was 58.7 %. Conclusion. At the moment, the system of organization of oncological care is a set of structures that combine all stages of care: from diagnosis to follow-up. Monitoring of diagnostic and treatment results at the level of the patient and the entire organization as a whole is carried out continuously and is the basis for evaluating the achievement of performance indicators.

Digital transformation of primary health care in Moscow
Sizov G.G.
The modern appearance of the Moscow digital clinic was mainly set in 2011 in the context of complex changes in the city management system, which subsequently took the form of the Moscow city development concept “Smart City – 2030”. The initial goals for changing primary health care included providing Muscovites with access to information and communication technologies in medical organizations, eliminating fragmentation and duplication of functions, and ensuring compatibility of data used in various information systems. Aim. To identify and describe step-by-step changes in the organization of primary health care in Moscow, related to the introduction of digital technologies and aimed at improving the organizational forms and methods of operation of public medical institutions in the capital, improving the access of the urban population to timely and high-quality medical care. Materials and methods. An analysis of regulatory legal acts and scientific literature was carried out in the “manual search” mode for the period 2011–2024. Results. Informatization of key processes in primary healthcare in the capital has reduced the waiting time for patients to receive an appointment. The number of people waiting 4 days or more to see a therapist has dropped to 2 %. An AIDS based on artificial intelligence was introduced into the practice of primary care doctors, available in all adult clinics in Moscow. Telemedicine services were provided for patients with COVID-19, which were subsequently expanded to other categories of patients. Conclusion. A review of data related to the digitalization of healthcare shows that changes in the work of clinics of the Moscow public health system are best practices that correspond to the practices of leading foreign countries, partly surpassing them in the systematicity of urban management issues.

Formation of the market of software medical devices in the Russian Federation in 2007–2024: Practical results
Gusev A.V., Artemova O.R., Andreychenko A.E., Ivanov I.V.
According to the recommendations of The International Medical Device Regulators Forum (IMDRF), software intended for medical purposes falls under the category of medical devices (MD). In recent years, in Russia, a great deal of systematic work has been carried out to establish normative regulations and processes for controlling the efficiency and safety ofsoftware as medical devices (SaMD) and its subsequent state registration. Objective. The analysis of current procedures and results of state registration of SaMD in the Russian Federation in 2007–2024. Materials and methods. A systematic search of information on the software registered in Russia as MD was carried out. For this, the state registry of MD of the Federal Service for Surveillance in Healthcare of Russia (Roszdravnadzor) was used. 157 records of marketing authorizations (MA) issued between 01. 01. 2007 and 30. 07. 2024 were found. Results. 25.5 % of MAs were issued for radiological information systems, including image archiving and communication systems (PACS-systems). For SaMD with artificial intelligence technologies – 24.2 % MAs. 13.4 % of MAs were issued for laboratory information systems and 4.5 % for medical information systems of medical organizations. The “Other software” group accounted for 32.5 %, it included telemedicine solutions, software for planning surgeries, etc. More than 50 % of Mas for SaMD was issued for Russian-based developers. Half of SaMD was registered as the 2nd class of potential risk application (50 %), 17 % as the class 2b, and 18 % as the lowest 1st class of potential risk. 15 % of SaMD were of the maximum 3rd class of the potential risk of application, and most of them were SaMD with artificial intelligence (AI) technologies. Conclusion. In Russia, a system of independent testing and state registration of SaMD has been built and has been working reliably for many years, allowing manufacturers to bring to the market the most diverse products, including innovative AI-based MD. Russian development companies are gradually increasing their market share compared to foreign producers.

Basic principles and integrated approach to the development of Moscow healthcare
Khripun A.I.
In modern socio-political and socio-economic conditions, the task of preserving, strengthening and improving the health of the population of any city, especially the capital, is becoming extremely relevant and important. The capital’s healthcare system implements a state policy in the field of healthcare, providing the necessary conditions for providing citizens with affordable and high-quality medical care. Aim. Describe the main approaches to the modernization of Moscow healthcare, taking into account the pace of development of the megalopolis infrastructure and the needs of its residents in high-quality and affordable medical care. Materials and methods. The analysis of the general morbidity and by classes of diseases, the average number of visits per resident per year by disease, resource provision and activities of medical organizations subordinate to the Moscow Healthcare Department according to federal forms of statistical observation for 2018–2022 was carried out. Results. Against the background of an increase in the general morbidity of adults in the Russian Federation (by 10.4 %), a similar trend is observed in Moscow (by 4.8 % in 2022 compared to 2021). Currently, a number of projects aimed at transforming and modernizing the current healthcare system are being implemented in the capital, thanks to the implementation of which in recent years Moscow has managed to achieve the targets of the Capital Healthcare program and significantly exceed similar national averages – for the period 2010–2022, life expectancy has increased from 74.2 years to 78.2 years; for the period 2018–2022, primary morbidity has significantly decreased (for example, diseases of the digestive system – by more than 28 %, diseases of the musculoskeletal system – by more than 30 %); waiting time for admission by a doctor in the polyclinic network has been reduced by 3.3 times. Including an increase in the average number of visits per resident (8.4) compared to 2018 – by 3.7 %. Conclusion. Modernization of the capital’s medicine is carried out at the level of technical equipment, staffing and organizational solutions. New management technologies include an integrated approach to infrastructure modernization, building scalable processes and maximum automation, which requires both an integrated approach within the Moscow Healthcare Department and intersectoral cooperation.

Development of primary health care in Moscow: New polyclinic standard
Starshinin A.V.
The increase in the number of chronic noncommunicable diseases, changes in the age structure of the population, and an increase in demand for medical services in the primary health care system determine the need for an adequate response of health systems to these requests. Standardization is one of the effective mechanisms for managing the quality and accessibility of medical care provided to the population. The development of the Moscow healthcare system today is focused on the redistribution of forces towards primary healthcare and large-scale digitalization. Aim. To evaluate the results of the implementation of standardized solutions in the primary health care management system provided in outpatient clinics subordinate to the Department of Health of the city of Moscow. Materials and methods. Statistical and analytical methods, the method of expert interviews and content analysis of literature sources of domestic authors, as well as normative legal acts for 2018-2023 were used in the work. The main performance indicators of the outpatient clinics of Moscow are analyzed. Results. Important purposes of the healthcare system have been achieved: the created modern framework of outpatient care provided the opportunity to ensure equal access to quality care; the introduction of a single standard of polyclinics contributes to the rationalization of territorial planning, improvement and development of infrastructure, the use of innovative medical technologies and solutions; managerial and reorganization changes in the structure of polyclinics allowed to build convenient and clear routing of patients to receive medical care in the required volume and shorter terms. Changes in the Moscow primary health care system affect both external and internal processes, are aimed at maximizing the coverage of the population with health services, improving the provision of modern equipment to Moscow polyclinics, and creating a digital polyclinic. Conclusion. Bringing Moscow polyclinics to a single standard required reengineering of existing processes, restructuring of procedures focused on managing the completed case. The quality and accessibility of medical care to the population of Moscow remains a top priority in the development of outpatient care.

The possibilities of big data in pharmacoepidemiology, problems of use, legal regulation
Orlova N.V., Suvorov G.N., Karseladze N.D., Yakushev Y.Y., Gololobova T.V.
The growth of digitalization in medicine has significantly expanded the possibilities of using big data in pharmacoepidemiology. The use of big data makes it possible to reduce the cost of clinical research, increase the speed of recruitment and expand the sample, makes it possible to evaluate the effect of drugs in pregnant women and effectiveness in rare diseases. The databases PubMed, Scopus, Web of Science and Google Scholar for 12 years from 2012 to 2023, United Nations documents, World Health Organization, Federal laws of the Russian Federation in the field of artificial intelligence, protection of confidential information, and clinical research were analyzed. The search was carried out by keywords: «big data», «registers», «pharmacoepidemiology», «personal data», «legal regulation», «protection methods». The article provides examples of the use of big data in healthcare, including from 25 to 50 million people. The analysis of the literature data revealed the same type of problems – the lack of uniformity in the introduction of information, incomplete information, limited availability. The review identifies the problems of protecting the confidentiality of information. The mechanisms of information standardization, storage, and data processing are considered. The international and Russian legislative framework regulating the conduct of clinical trials using big data is presented.

Proposals for medical guidelines creation at the time of digital transformation of healthcare in Russian Federation
Prialukhin I.A., Sheshko E.L., Seryapina Y.V., Plutnitskiy A.N., Pugachev P.S., Omelyanovskiy V.V., Artemova O.R., Pugacheva T.V., Dolgushina N.V., Verhovtsev A.A., Akhapkina E.S., Kirpa-Ivanov T.A., Sukhikh G.T.
The article presents the experience of the «National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov» in creation of medical guidelines based on the patient’s route business process for vertically integrated medical information system for “Obstetrics and gynecology” and “Neonatology” (VIMIS “AKiNEO”), with simultaneous digitization of the document, describes the advantages of this an approach before the classical form of writing document.Aim. To conduct a comparative analysis of approaches to writing a medical guideline based on a digitized medical guideline and patient’s route business process for VIMIS “AKiNEO” and in the classical way.Materials and methods. The content of digitized medical guidelines and procedures for the provision of medical care, formed by experts on the basis of the “National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov” with the methodological support of the Center for Healthcare Quality Assessment and Control were used. The assessment of the methodological advantages of writing medical guidelines based on patient routes business processes in comparison with writing in the classical way was carried out using methods of analysis and synthesis.Results. Experts have created 17 patient routes using the content of digitized medical guidelines for immersion in the VIMIS “AKiNEO”. These routes fully reflect the amount and timing of medical interventions necessary to ensure the quality of medical care. Methodological approaches for writing medical guidelines based patient routes business processes have been developed. It has been demonstrated that digitizing the content of medical guidelines and medical care procedures, describing medical guidelines in the form of a business process diagram, identify “zones of uncertainty” that ar e not visible in the text document, and can significantly affec t the quality of medical care to the patient.Conclusion. The creation of regulatory legal acts on the organization and provision of medical care and medical guidelines in modern conditions of healthcare digital transformation should take place after digitizing the text of the document and creating a business process for the patient’s route, which will improve the quality of these documents.

Pre-vocational education as a factor in the development of human resources in the healthcare system
Biryukova N.V., Khalfin R.A., Madyanova V.V.
Pre-professional medical education in high school provides not only a more in-depth study of individual subjects of general education programs, but also expands the opportunities for self-determination of students, ensures continuity of the educational process, allows boys and girls to adapt more successfully mastering higher medical professional education programs and is the basis for a successful career.Aim. To evaluate the results of the introduction and implementation of the model of pre-professional medical and pharmaceutical education using the example of the Resource Center «Medical Sechenov Pre-University» of the Sechenov First Moscow State Medical University (Sechenov University) (hereinafter referred to as the Pre-University) as a means of developing the human resources potential of the healthcare system on the territory of the Russian Federation.Materials and methods. During the work, a theoretical analysis of domestic and foreign literature on the problem of developing the human resources potential of the healthcare system was carried out. A study was conducted in the comparative aspect of the basic readiness of students in grades 8-11 at the Pre-University and specialized medical and biological classes of regional educational institutions to the choice of medical specialties using a test questionnaire with the identification of three key aspects: readiness to master medical specialties; self-assessment of capabilities and erudition in the field of modern medicine. 1465 people took part in the survey. The reliability of the results was carried using the Mann-Whitney U test. Assessment of the statistical significance of differences between the means was carried out at a critical level of p = 0.05.Results. Studying at the Pre-University of Sechenov University allowed the majority of adolescents to achieve higher levels of formation of the main indicators of basic readiness to choose medical specialties. The share of students with a high level of readiness to master medical specialties at the Pre-University is 13.8 % higher compared to students of specialized medical and biological classes, with high erudition – 13.8 % and 6.7 % higher those who highly assess their prospects for entering a medical university.Conclusion. Pre-professional education based on close interaction between the Pre-University and Sechenov University allows students to develop motivation to choose a medical profession, as well as a clear understanding of the learning process in the chosen profession and is an important link in the system of continuous educational trajectory «pre-university–university–clinic».

Debatable issues of coding chronic forms of ischemic heart disease as the primary cause of death
Shepel R.N., Samorodskaya I.V., Kakorina E.P., Drapkina O.M.
Aim: to examine the opinions of healthcare professionals on using codes from the ICD-10 group chronic ischemic heart disease (CIHD) (I25.0, I25.1, I25.8, I25.9) as the primary cause of death and discuss the results in the context of comparing with regional variability of standardized mortality ratio (SMR) from different forms of CIHD.Materials and methods. A one-stage study was conducted. This article describes the results of a survey of 366 medical workers (cardiologists, internists/general practitioners/family doctors, pathologists, public health and healthcare specialists, paramedics) from 47 subjects of the Russian Federation who fill out a medical death certificate (MDS) more often than 2–3 times a month. In addition, SMR from coronary heart disease were determined based on a brief nomenclature of causes of death of Rosstat in 82 regions of the Russian Federation for 2022.Results. 80.1 % of respondents expressed the opinion that I25.0, I25.1, I25.8, I25.9 are necessary for coding causes of death, but half of those surveyed do not see any differences in them. At the same time, respondents admit the possibility of using these CIHD codes as the primary cause of death without ante-mortem and pathological verification. The relatively small coefficient of variation of SMR overall from CIHD (34.19 per 100,000 population) is associated with high values from its individual forms: the coefficient of variation of average regional SMRs ranged from 62 % for code I25.1 to 174 % for code I25.0.Conclusions. The results of this study indicate a variable attitude of specialists filling out MSD towards choosing ICD-10 codes from the CIHD group, leading to significant interregional differences in CIHD mortality rates. It is necessary to develop unified recommendations describing situations in which codes from the CIHD group can be considered the primary (main) cause of death.

Integration of AI-based software as a medical device into Russian healthcare system: results of 2023
Gusev A.V., Artemova O.R., Vasiliev Y.A., Vladzymyrskyy A.V.
Introduction. Healthcare is one of the priority sectors for the deployment of artificial intelligence (AI) technologies worldwide, including Russia. A key area of AI deployment is the integration of AI-base software as a medical device (AI SaMD) into the Unified digital systems of the healthcare sector of the Russian Federation.Aim. Research of the results of the deployment of AI SaMD in healthcare of the Russian Federation in 2023.Materials and methods. The State Register of Medical Devices and Organizations (individual entrepreneurs) engaged in the production and manufacture of medical devices was used as information about AI SaMD registered in Russia. As information on the deployment of AI SaMD, data from monitoring to the federal project “Creating a single digital system in healthcare” was used, including reports from constituent entities of the Russian Federation upon these activities. The results of the implementation of AI SaMD in Moscow were obtained according to data from the Moscow Department of Health as part of an experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images.Results. As of January 1, 2024, Roszdravnadzor registered 26 AI SaMD, 77 % of them were developed by 13 Russian companies. At the end of 2023, 84 (94 %) constituent entities of the Russian Federation met the minimum established target for the purchase of AI SaMD. Within the framework of public procurement procedures provided by law, 106 government contracts were signed for the purchase and deployment of AI SaMD for a total amount of 448 million 430 thousand rubles.Conclusion. In 2023, the Russian healthcare system made a significant breakthrough in terms of the practical deployment of AI SaMD. Completed procurement and deployment projects are the basis for subsequent industry development.
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493 citations, 0.13%
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|
Endocrinology
475 citations, 0.13%
|
|
Cancer and Metastasis Reviews
466 citations, 0.13%
|
|
The Lancet Oncology
463 citations, 0.13%
|
|
Familial Cancer
463 citations, 0.13%
|
|
Biochimica et Biophysica Acta - Reviews on Cancer
460 citations, 0.12%
|
|
Gynecologic Oncology
460 citations, 0.12%
|
|
Carcinogenesis
459 citations, 0.12%
|
|
Biochemical and Biophysical Research Communications
458 citations, 0.12%
|
|
Maturitas
457 citations, 0.12%
|
|
Virchows Archiv
452 citations, 0.12%
|
|
Human Pathology
452 citations, 0.12%
|
|
Diagnostics
447 citations, 0.12%
|
|
American Journal of Roentgenology
445 citations, 0.12%
|
|
Cancer Chemotherapy and Pharmacology
445 citations, 0.12%
|
|
World Journal of Surgical Oncology
436 citations, 0.12%
|
|
British Journal of Surgery
434 citations, 0.12%
|
|
Plastic and Reconstructive Surgery
433 citations, 0.12%
|
|
Menopause
432 citations, 0.12%
|
|
Journal of Cellular Physiology
430 citations, 0.12%
|
|
Cancer Prevention Research
429 citations, 0.12%
|
|
Cochrane Database of Systematic Reviews
427 citations, 0.12%
|
|
Frontiers in Genetics
427 citations, 0.12%
|
|
Expert Review of Anticancer Therapy
426 citations, 0.12%
|
|
Seminars in Cancer Biology
419 citations, 0.11%
|
|
American Journal of Surgery
418 citations, 0.11%
|
|
Frontiers in Cell and Developmental Biology
416 citations, 0.11%
|
|
Show all (70 more) | |
2000
4000
6000
8000
10000
12000
14000
16000
18000
|
Citing publishers
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
|
|
Springer Nature
91548 citations, 24.76%
|
|
Elsevier
75711 citations, 20.48%
|
|
Wiley
32854 citations, 8.89%
|
|
MDPI
19773 citations, 5.35%
|
|
Taylor & Francis
14042 citations, 3.8%
|
|
Ovid Technologies (Wolters Kluwer Health)
9656 citations, 2.61%
|
|
Frontiers Media S.A.
9153 citations, 2.48%
|
|
American Association for Cancer Research (AACR)
8790 citations, 2.38%
|
|
SAGE
7678 citations, 2.08%
|
|
Oxford University Press
6887 citations, 1.86%
|
|
Public Library of Science (PLoS)
5834 citations, 1.58%
|
|
American Society of Clinical Oncology (ASCO)
5052 citations, 1.37%
|
|
Spandidos Publications
4317 citations, 1.17%
|
|
Impact Journals
4155 citations, 1.12%
|
|
Hindawi Limited
3355 citations, 0.91%
|
|
BMJ
2310 citations, 0.62%
|
|
Cold Spring Harbor Laboratory
2258 citations, 0.61%
|
|
American Chemical Society (ACS)
2218 citations, 0.6%
|
|
Mary Ann Liebert
2197 citations, 0.59%
|
|
Georg Thieme Verlag KG
2065 citations, 0.56%
|
|
S. Karger AG
1928 citations, 0.52%
|
|
AME Publishing Company
1897 citations, 0.51%
|
|
American Medical Association (AMA)
1361 citations, 0.37%
|
|
The Endocrine Society
1290 citations, 0.35%
|
|
Society for Translational Oncology
1238 citations, 0.33%
|
|
American Society for Biochemistry and Molecular Biology
1232 citations, 0.33%
|
|
Bentham Science Publishers Ltd.
1096 citations, 0.3%
|
|
1056 citations, 0.29%
|
|
Asian Pacific Organization for Cancer Prevention
994 citations, 0.27%
|
|
Royal Society of Chemistry (RSC)
977 citations, 0.26%
|
|
Bioscientifica
887 citations, 0.24%
|
|
Cambridge University Press
873 citations, 0.24%
|
|
Radiological Society of North America (RSNA)
797 citations, 0.22%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
786 citations, 0.21%
|
|
Baishideng Publishing Group
643 citations, 0.17%
|
|
Walter de Gruyter
576 citations, 0.16%
|
|
JMIR Publications
570 citations, 0.15%
|
|
Proceedings of the National Academy of Sciences (PNAS)
559 citations, 0.15%
|
|
Oncology Nursing Society
465 citations, 0.13%
|
|
American Roentgen Ray Society
460 citations, 0.12%
|
|
IOS Press
420 citations, 0.11%
|
|
American Society for Nutrition
415 citations, 0.11%
|
|
398 citations, 0.11%
|
|
Korean Breast Cancer Society
394 citations, 0.11%
|
|
Research Square Platform LLC
394 citations, 0.11%
|
|
Korean Breast Cancer Society
380 citations, 0.1%
|
|
IOP Publishing
350 citations, 0.09%
|
|
American Society for Pharmacology and Experimental Therapeutics
323 citations, 0.09%
|
|
American Physiological Society
318 citations, 0.09%
|
|
American Society for Clinical Investigation
315 citations, 0.09%
|
|
Neoplasia Press
308 citations, 0.08%
|
|
American Association for the Advancement of Science (AAAS)
307 citations, 0.08%
|
|
Pleiades Publishing
306 citations, 0.08%
|
|
British Institute of Radiology
305 citations, 0.08%
|
|
Annual Reviews
287 citations, 0.08%
|
|
OAE Publishing Inc.
283 citations, 0.08%
|
|
American Society for Microbiology
279 citations, 0.08%
|
|
Massachusetts Medical Society
279 citations, 0.08%
|
|
The Company of Biologists
271 citations, 0.07%
|
|
Scientific Research Publishing
269 citations, 0.07%
|
|
IntechOpen
258 citations, 0.07%
|
|
Portland Press
246 citations, 0.07%
|
|
XMLink
238 citations, 0.06%
|
|
Moffitt Cancer Center
237 citations, 0.06%
|
|
SPIE-Intl Soc Optical Eng
237 citations, 0.06%
|
|
Society of Nuclear Medicine
229 citations, 0.06%
|
|
Publishing House ABV Press
227 citations, 0.06%
|
|
SciELO
212 citations, 0.06%
|
|
Korean Cancer Association
208 citations, 0.06%
|
|
Federation of American Societies for Experimental Biology (FASEB)
208 citations, 0.06%
|
|
American Association for Clinical Chemistry
205 citations, 0.06%
|
|
PeerJ
202 citations, 0.05%
|
|
Medknow
198 citations, 0.05%
|
|
European Molecular Biology Organization
177 citations, 0.05%
|
|
American Society of Hematology
169 citations, 0.05%
|
|
American Physical Therapy Association
156 citations, 0.04%
|
|
Hans Publishers
152 citations, 0.04%
|
|
The American Association of Immunologists
151 citations, 0.04%
|
|
Optica Publishing Group
145 citations, 0.04%
|
|
Media Sphere Publishing House
141 citations, 0.04%
|
|
F1000 Research
140 citations, 0.04%
|
|
Japan Surgical Association
139 citations, 0.04%
|
|
Pharmaceutical Society of Japan
134 citations, 0.04%
|
|
Environmental Health Perspectives
130 citations, 0.04%
|
|
Rockefeller University Press
124 citations, 0.03%
|
|
IGI Global
124 citations, 0.03%
|
|
Canadian Science Publishing
118 citations, 0.03%
|
|
American Public Health Association
101 citations, 0.03%
|
|
Mark Allen Group
100 citations, 0.03%
|
|
AIP Publishing
98 citations, 0.03%
|
|
Remedium, Ltd.
97 citations, 0.03%
|
|
World Scientific
91 citations, 0.02%
|
|
King Saud University
89 citations, 0.02%
|
|
eLife Sciences Publications
89 citations, 0.02%
|
|
The Korean Society of Radiology
88 citations, 0.02%
|
|
National Coordinating Centre for Health Technology Assessment
87 citations, 0.02%
|
|
Pharmaceutical Society of Korea
85 citations, 0.02%
|
|
Science Alert
83 citations, 0.02%
|
|
The Korean Surgical Society
83 citations, 0.02%
|
|
Eco-Vector LLC
82 citations, 0.02%
|
|
Show all (70 more) | |
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
|
Publishing organizations
50
100
150
200
250
300
350
400
|
|
Harvard University
374 publications, 3.18%
|
|
University of Toronto
321 publications, 2.73%
|
|
University of Texas MD Anderson Cancer Center
318 publications, 2.71%
|
|
Dana-Farber Cancer Institute
293 publications, 2.49%
|
|
National Cancer Institute
263 publications, 2.24%
|
|
Memorial Sloan Kettering Cancer Center
262 publications, 2.23%
|
|
Brigham and Women's Hospital
218 publications, 1.86%
|
|
University of Michigan
207 publications, 1.76%
|
|
Netherlands Cancer Institute
194 publications, 1.65%
|
|
University of California, San Francisco
184 publications, 1.57%
|
|
Mayo Clinic
182 publications, 1.55%
|
|
Massachusetts General Hospital
178 publications, 1.51%
|
|
University of North Carolina at Chapel Hill
178 publications, 1.51%
|
|
Johns Hopkins University
172 publications, 1.46%
|
|
Karolinska Institute
159 publications, 1.35%
|
|
Sunnybrook Health Sciences Centre
156 publications, 1.33%
|
|
University of Washington
152 publications, 1.29%
|
|
Washington University in St. Louis
149 publications, 1.27%
|
|
Fred Hutchinson Cancer Center
148 publications, 1.26%
|
|
European Institute of Oncology
145 publications, 1.23%
|
|
Fudan University
136 publications, 1.16%
|
|
University of Texas Health Science Center at San Antonio
136 publications, 1.16%
|
|
Columbia University
133 publications, 1.13%
|
|
City of Hope National Medical Center
130 publications, 1.11%
|
|
University of Southern California
129 publications, 1.1%
|
|
University of California, Los Angeles
129 publications, 1.1%
|
|
Stanford University
128 publications, 1.09%
|
|
University of Miami
128 publications, 1.09%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
124 publications, 1.06%
|
|
German Cancer Research Center
118 publications, 1%
|
|
Karolinska University Hospital
117 publications, 1%
|
|
UNC Lineberger Comprehensive Cancer Center
117 publications, 1%
|
|
Nottingham University Hospitals NHS Trust
116 publications, 0.99%
|
|
Erasmus University Medical Center
115 publications, 0.98%
|
|
Leiden University Medical Center
112 publications, 0.95%
|
|
University of Melbourne
110 publications, 0.94%
|
|
University of Pennsylvania
109 publications, 0.93%
|
|
University of Milan
108 publications, 0.92%
|
|
University Medical Center Utrecht
108 publications, 0.92%
|
|
University of Chicago
103 publications, 0.88%
|
|
Georgetown University
102 publications, 0.87%
|
|
Seoul National University
102 publications, 0.87%
|
|
Baylor College of Medicine
101 publications, 0.86%
|
|
University of Sydney
99 publications, 0.84%
|
|
Asan Medical Center
97 publications, 0.83%
|
|
Cornell University
96 publications, 0.82%
|
|
Georgetown University Medical Center
93 publications, 0.79%
|
|
Sungkyunkwan University
93 publications, 0.79%
|
|
Wayne State University
93 publications, 0.79%
|
|
University of Ulsan
90 publications, 0.77%
|
|
Institut Curie
90 publications, 0.77%
|
|
Samsung Medical Center
89 publications, 0.76%
|
|
Northwestern University
88 publications, 0.75%
|
|
University of British Columbia
88 publications, 0.75%
|
|
Beth Israel Deaconess Medical Center
88 publications, 0.75%
|
|
Yale University
87 publications, 0.74%
|
|
Emory University
86 publications, 0.73%
|
|
Maastricht University Medical Center+
85 publications, 0.72%
|
|
Duke University
85 publications, 0.72%
|
|
Vanderbilt University
81 publications, 0.69%
|
|
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"
80 publications, 0.68%
|
|
Yonsei University
80 publications, 0.68%
|
|
Tel Aviv University
77 publications, 0.66%
|
|
Duke University Hospital
77 publications, 0.66%
|
|
H. Lee Moffitt Cancer Center & Research Institute
77 publications, 0.66%
|
|
UPMC Hillman Cancer Center
74 publications, 0.63%
|
|
University of Minnesota
73 publications, 0.62%
|
|
Imperial College London
71 publications, 0.6%
|
|
Fox Chase Cancer Center
71 publications, 0.6%
|
|
Mayo Clinic in Florida
70 publications, 0.6%
|
|
Nanjing Medical University
69 publications, 0.59%
|
|
McGill University
69 publications, 0.59%
|
|
University of Wisconsin–Madison
69 publications, 0.59%
|
|
Lund University
68 publications, 0.58%
|
|
Radboud University Nijmegen Medical Centre
66 publications, 0.56%
|
|
Heidelberg University
66 publications, 0.56%
|
|
Oslo University Hospital
66 publications, 0.56%
|
|
University of Alabama at Birmingham
66 publications, 0.56%
|
|
Tianjin Medical University
65 publications, 0.55%
|
|
Peter MacCallum Cancer Centre
65 publications, 0.55%
|
|
Cleveland Clinic
64 publications, 0.54%
|
|
Medical University of Vienna
63 publications, 0.54%
|
|
Skåne University Hospital
62 publications, 0.53%
|
|
University of Nottingham
62 publications, 0.53%
|
|
Netherlands Comprehensive Cancer Organisation
62 publications, 0.53%
|
|
Ohio State University
60 publications, 0.51%
|
|
UCSF Helen Diller Family Comprehensive Cancer Center
60 publications, 0.51%
|
|
Charité - Universitätsmedizin Berlin
60 publications, 0.51%
|
|
McMaster University
60 publications, 0.51%
|
|
Indiana University School of Medicine
60 publications, 0.51%
|
|
University of Twente
59 publications, 0.5%
|
|
Pennsylvania State University
59 publications, 0.5%
|
|
Jonsson Comprehensive Cancer Center
59 publications, 0.5%
|
|
Catalan Institute of Oncology
58 publications, 0.49%
|
|
Women's College Hospital
58 publications, 0.49%
|
|
University of Queensland
57 publications, 0.49%
|
|
Sheba Medical Center
56 publications, 0.48%
|
|
Universitair Ziekenhuis Leuven
56 publications, 0.48%
|
|
Katholieke Universiteit Leuven
56 publications, 0.48%
|
|
Yale Cancer Center
56 publications, 0.48%
|
|
Show all (70 more) | |
50
100
150
200
250
300
350
400
|
Publishing organizations in 5 years
10
20
30
40
50
60
70
80
90
100
|
|
Harvard University
95 publications, 4.55%
|
|
Dana-Farber Cancer Institute
72 publications, 3.45%
|
|
Memorial Sloan Kettering Cancer Center
71 publications, 3.4%
|
|
University of Texas MD Anderson Cancer Center
60 publications, 2.87%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
51 publications, 2.44%
|
|
Massachusetts General Hospital
51 publications, 2.44%
|
|
University of Toronto
48 publications, 2.3%
|
|
Brigham and Women's Hospital
46 publications, 2.2%
|
|
Netherlands Cancer Institute
45 publications, 2.16%
|
|
University of California, San Francisco
44 publications, 2.11%
|
|
Mayo Clinic
43 publications, 2.06%
|
|
University of Michigan
41 publications, 1.96%
|
|
Cornell University
38 publications, 1.82%
|
|
University of North Carolina at Chapel Hill
37 publications, 1.77%
|
|
Emory University
34 publications, 1.63%
|
|
Netherlands Comprehensive Cancer Organisation
34 publications, 1.63%
|
|
National Cancer Institute
34 publications, 1.63%
|
|
Johns Hopkins University
33 publications, 1.58%
|
|
Duke University
33 publications, 1.58%
|
|
Karolinska Institute
32 publications, 1.53%
|
|
University of Twente
29 publications, 1.39%
|
|
Maastricht University Medical Center+
29 publications, 1.39%
|
|
Leiden University Medical Center
29 publications, 1.39%
|
|
Columbia University
28 publications, 1.34%
|
|
Asan Medical Center
28 publications, 1.34%
|
|
Sunnybrook Health Sciences Centre
28 publications, 1.34%
|
|
European Institute of Oncology
27 publications, 1.29%
|
|
University of Milan
26 publications, 1.25%
|
|
University of Ulsan
26 publications, 1.25%
|
|
University of California, Los Angeles
26 publications, 1.25%
|
|
University Medical Center Utrecht
26 publications, 1.25%
|
|
University of Washington
25 publications, 1.2%
|
|
University of Miami
25 publications, 1.2%
|
|
Fudan University
24 publications, 1.15%
|
|
Tel Aviv University
24 publications, 1.15%
|
|
Columbia University Irving Medical Center
24 publications, 1.15%
|
|
University of Chicago
24 publications, 1.15%
|
|
Stanford University
23 publications, 1.1%
|
|
Nottingham University Hospitals NHS Trust
22 publications, 1.05%
|
|
University of Southern California
22 publications, 1.05%
|
|
Sungkyunkwan University
22 publications, 1.05%
|
|
City of Hope National Medical Center
22 publications, 1.05%
|
|
Peking University
21 publications, 1.01%
|
|
Washington University in St. Louis
21 publications, 1.01%
|
|
Vanderbilt University Medical Center
21 publications, 1.01%
|
|
H. Lee Moffitt Cancer Center & Research Institute
21 publications, 1.01%
|
|
Beth Israel Deaconess Medical Center
21 publications, 1.01%
|
|
Universitair Ziekenhuis Leuven
20 publications, 0.96%
|
|
Karolinska University Hospital
20 publications, 0.96%
|
|
Yale University
20 publications, 0.96%
|
|
Dana-Farber Brigham Cancer Center
20 publications, 0.96%
|
|
Erasmus University Medical Center
20 publications, 0.96%
|
|
Sichuan University
19 publications, 0.91%
|
|
University of Nottingham
19 publications, 0.91%
|
|
University of Melbourne
19 publications, 0.91%
|
|
Georgetown University
19 publications, 0.91%
|
|
Samsung Medical Center
19 publications, 0.91%
|
|
University of British Columbia
19 publications, 0.91%
|
|
Fred Hutchinson Cancer Center
19 publications, 0.91%
|
|
Japanese Foundation For Cancer Research
19 publications, 0.91%
|
|
Princess Margaret Cancer Centre
19 publications, 0.91%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
18 publications, 0.86%
|
|
Aarhus University Hospital
18 publications, 0.86%
|
|
University of Sydney
18 publications, 0.86%
|
|
University of Tokyo
18 publications, 0.86%
|
|
Mayo Clinic in Florida
18 publications, 0.86%
|
|
University of Alabama at Birmingham
18 publications, 0.86%
|
|
Sheba Medical Center
17 publications, 0.81%
|
|
Seoul National University Hospital
17 publications, 0.81%
|
|
Northwestern University
17 publications, 0.81%
|
|
Ohio State University
17 publications, 0.81%
|
|
Amsterdam University Medical Center
17 publications, 0.81%
|
|
University of Pennsylvania
17 publications, 0.81%
|
|
Cleveland Clinic
17 publications, 0.81%
|
|
Huntsman Cancer Institute
17 publications, 0.81%
|
|
Boston University
16 publications, 0.77%
|
|
Yonsei University
16 publications, 0.77%
|
|
Duke University Hospital
16 publications, 0.77%
|
|
Yale Cancer Center
16 publications, 0.77%
|
|
University at Buffalo, State University of New York
16 publications, 0.77%
|
|
UNC Lineberger Comprehensive Cancer Center
16 publications, 0.77%
|
|
Seoul National University
15 publications, 0.72%
|
|
Icahn School of Medicine at Mount Sinai
15 publications, 0.72%
|
|
McMaster University
15 publications, 0.72%
|
|
University of Minnesota
15 publications, 0.72%
|
|
University of Texas Southwestern Medical Center
15 publications, 0.72%
|
|
Fox Chase Cancer Center
15 publications, 0.72%
|
|
Tianjin Medical University
14 publications, 0.67%
|
|
Copenhagen University Hospital
14 publications, 0.67%
|
|
Oslo University Hospital
14 publications, 0.67%
|
|
UPMC Hillman Cancer Center
14 publications, 0.67%
|
|
University of Ottawa
14 publications, 0.67%
|
|
Katholieke Universiteit Leuven
13 publications, 0.62%
|
|
Sun Yat-sen University
13 publications, 0.62%
|
|
Maastricht University
13 publications, 0.62%
|
|
Universite Libre de Bruxelles
13 publications, 0.62%
|
|
Catholic University of Korea
13 publications, 0.62%
|
|
New York University
13 publications, 0.62%
|
|
Jonsson Comprehensive Cancer Center
13 publications, 0.62%
|
|
UCSF Helen Diller Family Comprehensive Cancer Center
13 publications, 0.62%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
80
90
100
|
Publishing countries
1000
2000
3000
4000
5000
6000
|
|
USA
|
USA, 5093, 43.34%
USA
5093 publications, 43.34%
|
China
|
China, 958, 8.15%
China
958 publications, 8.15%
|
United Kingdom
|
United Kingdom, 920, 7.83%
United Kingdom
920 publications, 7.83%
|
Canada
|
Canada, 849, 7.22%
Canada
849 publications, 7.22%
|
Italy
|
Italy, 726, 6.18%
Italy
726 publications, 6.18%
|
Germany
|
Germany, 655, 5.57%
Germany
655 publications, 5.57%
|
Netherlands
|
Netherlands, 622, 5.29%
Netherlands
622 publications, 5.29%
|
Japan
|
Japan, 515, 4.38%
Japan
515 publications, 4.38%
|
France
|
France, 475, 4.04%
France
475 publications, 4.04%
|
Australia
|
Australia, 418, 3.56%
Australia
418 publications, 3.56%
|
Spain
|
Spain, 374, 3.18%
Spain
374 publications, 3.18%
|
Republic of Korea
|
Republic of Korea, 352, 3%
Republic of Korea
352 publications, 3%
|
Sweden
|
Sweden, 351, 2.99%
Sweden
351 publications, 2.99%
|
Denmark
|
Denmark, 226, 1.92%
Denmark
226 publications, 1.92%
|
Belgium
|
Belgium, 220, 1.87%
Belgium
220 publications, 1.87%
|
Switzerland
|
Switzerland, 211, 1.8%
Switzerland
211 publications, 1.8%
|
Austria
|
Austria, 186, 1.58%
Austria
186 publications, 1.58%
|
Norway
|
Norway, 165, 1.4%
Norway
165 publications, 1.4%
|
Israel
|
Israel, 154, 1.31%
Israel
154 publications, 1.31%
|
Poland
|
Poland, 138, 1.17%
Poland
138 publications, 1.17%
|
Finland
|
Finland, 135, 1.15%
Finland
135 publications, 1.15%
|
Brazil
|
Brazil, 124, 1.06%
Brazil
124 publications, 1.06%
|
Singapore
|
Singapore, 105, 0.89%
Singapore
105 publications, 0.89%
|
Turkey
|
Turkey, 103, 0.88%
Turkey
103 publications, 0.88%
|
Greece
|
Greece, 91, 0.77%
Greece
91 publications, 0.77%
|
India
|
India, 87, 0.74%
India
87 publications, 0.74%
|
Argentina
|
Argentina, 84, 0.71%
Argentina
84 publications, 0.71%
|
Ireland
|
Ireland, 83, 0.71%
Ireland
83 publications, 0.71%
|
Egypt
|
Egypt, 78, 0.66%
Egypt
78 publications, 0.66%
|
Russia
|
Russia, 59, 0.5%
Russia
59 publications, 0.5%
|
Portugal
|
Portugal, 56, 0.48%
Portugal
56 publications, 0.48%
|
New Zealand
|
New Zealand, 45, 0.38%
New Zealand
45 publications, 0.38%
|
Saudi Arabia
|
Saudi Arabia, 43, 0.37%
Saudi Arabia
43 publications, 0.37%
|
Hungary
|
Hungary, 40, 0.34%
Hungary
40 publications, 0.34%
|
Iran
|
Iran, 38, 0.32%
Iran
38 publications, 0.32%
|
Czech Republic
|
Czech Republic, 38, 0.32%
Czech Republic
38 publications, 0.32%
|
Mexico
|
Mexico, 35, 0.3%
Mexico
35 publications, 0.3%
|
South Africa
|
South Africa, 30, 0.26%
South Africa
30 publications, 0.26%
|
Chile
|
Chile, 26, 0.22%
Chile
26 publications, 0.22%
|
Slovenia
|
Slovenia, 24, 0.2%
Slovenia
24 publications, 0.2%
|
Malaysia
|
Malaysia, 19, 0.16%
Malaysia
19 publications, 0.16%
|
Thailand
|
Thailand, 19, 0.16%
Thailand
19 publications, 0.16%
|
Iceland
|
Iceland, 17, 0.14%
Iceland
17 publications, 0.14%
|
Peru
|
Peru, 12, 0.1%
Peru
12 publications, 0.1%
|
Ukraine
|
Ukraine, 11, 0.09%
Ukraine
11 publications, 0.09%
|
Iraq
|
Iraq, 11, 0.09%
Iraq
11 publications, 0.09%
|
Slovakia
|
Slovakia, 11, 0.09%
Slovakia
11 publications, 0.09%
|
Belarus
|
Belarus, 10, 0.09%
Belarus
10 publications, 0.09%
|
Pakistan
|
Pakistan, 10, 0.09%
Pakistan
10 publications, 0.09%
|
Tunisia
|
Tunisia, 9, 0.08%
Tunisia
9 publications, 0.08%
|
Philippines
|
Philippines, 9, 0.08%
Philippines
9 publications, 0.08%
|
Jordan
|
Jordan, 8, 0.07%
Jordan
8 publications, 0.07%
|
Nigeria
|
Nigeria, 8, 0.07%
Nigeria
8 publications, 0.07%
|
Serbia
|
Serbia, 8, 0.07%
Serbia
8 publications, 0.07%
|
Latvia
|
Latvia, 7, 0.06%
Latvia
7 publications, 0.06%
|
Libya
|
Libya, 7, 0.06%
Libya
7 publications, 0.06%
|
Qatar
|
Qatar, 6, 0.05%
Qatar
6 publications, 0.05%
|
Kenya
|
Kenya, 6, 0.05%
Kenya
6 publications, 0.05%
|
Cyprus
|
Cyprus, 6, 0.05%
Cyprus
6 publications, 0.05%
|
Colombia
|
Colombia, 6, 0.05%
Colombia
6 publications, 0.05%
|
Lebanon
|
Lebanon, 6, 0.05%
Lebanon
6 publications, 0.05%
|
Lithuania
|
Lithuania, 6, 0.05%
Lithuania
6 publications, 0.05%
|
Algeria
|
Algeria, 5, 0.04%
Algeria
5 publications, 0.04%
|
Bangladesh
|
Bangladesh, 5, 0.04%
Bangladesh
5 publications, 0.04%
|
Bulgaria
|
Bulgaria, 5, 0.04%
Bulgaria
5 publications, 0.04%
|
Vietnam
|
Vietnam, 5, 0.04%
Vietnam
5 publications, 0.04%
|
Ghana
|
Ghana, 5, 0.04%
Ghana
5 publications, 0.04%
|
UAE
|
UAE, 5, 0.04%
UAE
5 publications, 0.04%
|
Croatia
|
Croatia, 5, 0.04%
Croatia
5 publications, 0.04%
|
Morocco
|
Morocco, 4, 0.03%
Morocco
4 publications, 0.03%
|
Oman
|
Oman, 4, 0.03%
Oman
4 publications, 0.03%
|
Uruguay
|
Uruguay, 4, 0.03%
Uruguay
4 publications, 0.03%
|
Ethiopia
|
Ethiopia, 4, 0.03%
Ethiopia
4 publications, 0.03%
|
Estonia
|
Estonia, 3, 0.03%
Estonia
3 publications, 0.03%
|
Barbados
|
Barbados, 3, 0.03%
Barbados
3 publications, 0.03%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 3, 0.03%
Bosnia and Herzegovina
3 publications, 0.03%
|
Botswana
|
Botswana, 3, 0.03%
Botswana
3 publications, 0.03%
|
Guatemala
|
Guatemala, 3, 0.03%
Guatemala
3 publications, 0.03%
|
Indonesia
|
Indonesia, 3, 0.03%
Indonesia
3 publications, 0.03%
|
Cuba
|
Cuba, 3, 0.03%
Cuba
3 publications, 0.03%
|
Puerto Rico
|
Puerto Rico, 3, 0.03%
Puerto Rico
3 publications, 0.03%
|
Romania
|
Romania, 3, 0.03%
Romania
3 publications, 0.03%
|
Sudan
|
Sudan, 3, 0.03%
Sudan
3 publications, 0.03%
|
Bahamas
|
Bahamas, 2, 0.02%
Bahamas
2 publications, 0.02%
|
Bermuda
|
Bermuda, 2, 0.02%
Bermuda
2 publications, 0.02%
|
Greenland
|
Greenland, 2, 0.02%
Greenland
2 publications, 0.02%
|
Georgia
|
Georgia, 2, 0.02%
Georgia
2 publications, 0.02%
|
Zimbabwe
|
Zimbabwe, 2, 0.02%
Zimbabwe
2 publications, 0.02%
|
Tanzania
|
Tanzania, 2, 0.02%
Tanzania
2 publications, 0.02%
|
Trinidad and Tobago
|
Trinidad and Tobago, 2, 0.02%
Trinidad and Tobago
2 publications, 0.02%
|
USSR
|
USSR, 2, 0.02%
USSR
2 publications, 0.02%
|
Yugoslavia
|
Yugoslavia, 2, 0.02%
Yugoslavia
2 publications, 0.02%
|
Kazakhstan
|
Kazakhstan, 1, 0.01%
Kazakhstan
1 publication, 0.01%
|
Haiti
|
Haiti, 1, 0.01%
Haiti
1 publication, 0.01%
|
Guyana
|
Guyana, 1, 0.01%
Guyana
1 publication, 0.01%
|
Cameroon
|
Cameroon, 1, 0.01%
Cameroon
1 publication, 0.01%
|
Costa Rica
|
Costa Rica, 1, 0.01%
Costa Rica
1 publication, 0.01%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0.01%
Côte d'Ivoire
1 publication, 0.01%
|
Kuwait
|
Kuwait, 1, 0.01%
Kuwait
1 publication, 0.01%
|
Laos
|
Laos, 1, 0.01%
Laos
1 publication, 0.01%
|
Show all (70 more) | |
1000
2000
3000
4000
5000
6000
|
Publishing countries in 5 years
100
200
300
400
500
600
700
800
900
|
|
USA
|
USA, 886, 42.43%
USA
886 publications, 42.43%
|
China
|
China, 245, 11.73%
China
245 publications, 11.73%
|
United Kingdom
|
United Kingdom, 145, 6.94%
United Kingdom
145 publications, 6.94%
|
Canada
|
Canada, 119, 5.7%
Canada
119 publications, 5.7%
|
Netherlands
|
Netherlands, 117, 5.6%
Netherlands
117 publications, 5.6%
|
Japan
|
Japan, 99, 4.74%
Japan
99 publications, 4.74%
|
Italy
|
Italy, 88, 4.21%
Italy
88 publications, 4.21%
|
Republic of Korea
|
Republic of Korea, 82, 3.93%
Republic of Korea
82 publications, 3.93%
|
Germany
|
Germany, 73, 3.5%
Germany
73 publications, 3.5%
|
Australia
|
Australia, 68, 3.26%
Australia
68 publications, 3.26%
|
Spain
|
Spain, 65, 3.11%
Spain
65 publications, 3.11%
|
Sweden
|
Sweden, 58, 2.78%
Sweden
58 publications, 2.78%
|
France
|
France, 56, 2.68%
France
56 publications, 2.68%
|
Belgium
|
Belgium, 47, 2.25%
Belgium
47 publications, 2.25%
|
Brazil
|
Brazil, 43, 2.06%
Brazil
43 publications, 2.06%
|
Denmark
|
Denmark, 41, 1.96%
Denmark
41 publications, 1.96%
|
Israel
|
Israel, 35, 1.68%
Israel
35 publications, 1.68%
|
India
|
India, 32, 1.53%
India
32 publications, 1.53%
|
Turkey
|
Turkey, 32, 1.53%
Turkey
32 publications, 1.53%
|
Switzerland
|
Switzerland, 32, 1.53%
Switzerland
32 publications, 1.53%
|
Norway
|
Norway, 30, 1.44%
Norway
30 publications, 1.44%
|
Ireland
|
Ireland, 23, 1.1%
Ireland
23 publications, 1.1%
|
Singapore
|
Singapore, 22, 1.05%
Singapore
22 publications, 1.05%
|
Egypt
|
Egypt, 20, 0.96%
Egypt
20 publications, 0.96%
|
Saudi Arabia
|
Saudi Arabia, 19, 0.91%
Saudi Arabia
19 publications, 0.91%
|
Poland
|
Poland, 18, 0.86%
Poland
18 publications, 0.86%
|
Russia
|
Russia, 17, 0.81%
Russia
17 publications, 0.81%
|
New Zealand
|
New Zealand, 16, 0.77%
New Zealand
16 publications, 0.77%
|
Finland
|
Finland, 16, 0.77%
Finland
16 publications, 0.77%
|
Greece
|
Greece, 14, 0.67%
Greece
14 publications, 0.67%
|
Portugal
|
Portugal, 13, 0.62%
Portugal
13 publications, 0.62%
|
Austria
|
Austria, 13, 0.62%
Austria
13 publications, 0.62%
|
Argentina
|
Argentina, 13, 0.62%
Argentina
13 publications, 0.62%
|
Iran
|
Iran, 9, 0.43%
Iran
9 publications, 0.43%
|
Hungary
|
Hungary, 8, 0.38%
Hungary
8 publications, 0.38%
|
Chile
|
Chile, 8, 0.38%
Chile
8 publications, 0.38%
|
South Africa
|
South Africa, 8, 0.38%
South Africa
8 publications, 0.38%
|
Mexico
|
Mexico, 7, 0.34%
Mexico
7 publications, 0.34%
|
Slovenia
|
Slovenia, 7, 0.34%
Slovenia
7 publications, 0.34%
|
Ukraine
|
Ukraine, 6, 0.29%
Ukraine
6 publications, 0.29%
|
Thailand
|
Thailand, 6, 0.29%
Thailand
6 publications, 0.29%
|
Vietnam
|
Vietnam, 4, 0.19%
Vietnam
4 publications, 0.19%
|
Pakistan
|
Pakistan, 4, 0.19%
Pakistan
4 publications, 0.19%
|
Philippines
|
Philippines, 4, 0.19%
Philippines
4 publications, 0.19%
|
Czech Republic
|
Czech Republic, 4, 0.19%
Czech Republic
4 publications, 0.19%
|
Belarus
|
Belarus, 3, 0.14%
Belarus
3 publications, 0.14%
|
Botswana
|
Botswana, 3, 0.14%
Botswana
3 publications, 0.14%
|
Guatemala
|
Guatemala, 3, 0.14%
Guatemala
3 publications, 0.14%
|
Jordan
|
Jordan, 3, 0.14%
Jordan
3 publications, 0.14%
|
Iraq
|
Iraq, 3, 0.14%
Iraq
3 publications, 0.14%
|
Qatar
|
Qatar, 3, 0.14%
Qatar
3 publications, 0.14%
|
Kenya
|
Kenya, 3, 0.14%
Kenya
3 publications, 0.14%
|
Libya
|
Libya, 3, 0.14%
Libya
3 publications, 0.14%
|
Ethiopia
|
Ethiopia, 3, 0.14%
Ethiopia
3 publications, 0.14%
|
Bangladesh
|
Bangladesh, 2, 0.1%
Bangladesh
2 publications, 0.1%
|
Bulgaria
|
Bulgaria, 2, 0.1%
Bulgaria
2 publications, 0.1%
|
Georgia
|
Georgia, 2, 0.1%
Georgia
2 publications, 0.1%
|
Zimbabwe
|
Zimbabwe, 2, 0.1%
Zimbabwe
2 publications, 0.1%
|
Indonesia
|
Indonesia, 2, 0.1%
Indonesia
2 publications, 0.1%
|
Malaysia
|
Malaysia, 2, 0.1%
Malaysia
2 publications, 0.1%
|
Morocco
|
Morocco, 2, 0.1%
Morocco
2 publications, 0.1%
|
UAE
|
UAE, 2, 0.1%
UAE
2 publications, 0.1%
|
Oman
|
Oman, 2, 0.1%
Oman
2 publications, 0.1%
|
Estonia
|
Estonia, 1, 0.05%
Estonia
1 publication, 0.05%
|
Algeria
|
Algeria, 1, 0.05%
Algeria
1 publication, 0.05%
|
Bahamas
|
Bahamas, 1, 0.05%
Bahamas
1 publication, 0.05%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 1, 0.05%
Bosnia and Herzegovina
1 publication, 0.05%
|
Haiti
|
Haiti, 1, 0.05%
Haiti
1 publication, 0.05%
|
Ghana
|
Ghana, 1, 0.05%
Ghana
1 publication, 0.05%
|
Cyprus
|
Cyprus, 1, 0.05%
Cyprus
1 publication, 0.05%
|
Colombia
|
Colombia, 1, 0.05%
Colombia
1 publication, 0.05%
|
Laos
|
Laos, 1, 0.05%
Laos
1 publication, 0.05%
|
Lebanon
|
Lebanon, 1, 0.05%
Lebanon
1 publication, 0.05%
|
Lithuania
|
Lithuania, 1, 0.05%
Lithuania
1 publication, 0.05%
|
Luxembourg
|
Luxembourg, 1, 0.05%
Luxembourg
1 publication, 0.05%
|
Peru
|
Peru, 1, 0.05%
Peru
1 publication, 0.05%
|
Puerto Rico
|
Puerto Rico, 1, 0.05%
Puerto Rico
1 publication, 0.05%
|
Rwanda
|
Rwanda, 1, 0.05%
Rwanda
1 publication, 0.05%
|
El Salvador
|
El Salvador, 1, 0.05%
El Salvador
1 publication, 0.05%
|
Serbia
|
Serbia, 1, 0.05%
Serbia
1 publication, 0.05%
|
Tunisia
|
Tunisia, 1, 0.05%
Tunisia
1 publication, 0.05%
|
Montenegro
|
Montenegro, 1, 0.05%
Montenegro
1 publication, 0.05%
|
Show all (52 more) | |
100
200
300
400
500
600
700
800
900
|
8 profile journal articles
Colomer Ramon

Autonomous University of Madrid
210 publications,
7 984 citations
h-index: 50
3 profile journal articles
Stearns Vered
106 publications,
856 citations
h-index: 14
3 profile journal articles
Mehnert-Theuerkauf Anja

University Hospital Leipzig
373 publications,
11 799 citations
h-index: 57
2 profile journal articles
Bovin Nicolai
DSc in Chemistry, Professor

Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences
479 publications,
13 861 citations
h-index: 56
2 profile journal articles
Millen Eduardo
🤝
31 publications,
111 citations
h-index: 6
2 profile journal articles
Rump Andreas
46 publications,
1 489 citations
h-index: 21
2 profile journal articles
Urquhart Robin
155 publications,
2 064 citations
h-index: 21
1 profile journal article
Tommasi Chiara
26 publications,
132 citations
h-index: 8
1 profile journal article
Cohen Kfir
2 publications,
2 citations
h-index: 1