Open Access
Schizophrenia Bulletin Open
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
SCImago
Q2
SJR
0.843
CiteScore
2.9
Categories
Psychiatry and Mental Health
Areas
Medicine
Years of issue
2020-2025
journal names
Schizophrenia Bulletin Open
Top-3 citing journals

Schizophrenia Research
(82 citations)

Schizophrenia Bulletin
(56 citations)

Frontiers in Psychiatry
(52 citations)
Top-3 organizations

King's College London
(21 publications)

Karolinska Institute
(14 publications)

University of Melbourne
(14 publications)

King's College London
(15 publications)

Karolinska Institute
(12 publications)

Harvard University
(11 publications)
Top-3 countries
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.
Top-100
Citing journals
10
20
30
40
50
60
70
80
90
|
|
Schizophrenia Research
82 citations, 5.75%
|
|
Schizophrenia Bulletin
56 citations, 3.93%
|
|
Frontiers in Psychiatry
52 citations, 3.65%
|
|
Psychiatry Research
43 citations, 3.02%
|
|
Psychological Medicine
28 citations, 1.96%
|
|
BMC Psychiatry
25 citations, 1.75%
|
|
Early Intervention in Psychiatry
23 citations, 1.61%
|
|
Schizophrenia Bulletin Open
23 citations, 1.61%
|
|
Brain Sciences
19 citations, 1.33%
|
|
European Archives of Psychiatry and Clinical Neuroscience
18 citations, 1.26%
|
|
Schizophrenia
18 citations, 1.26%
|
|
Biological Psychiatry
17 citations, 1.19%
|
|
Translational Psychiatry
16 citations, 1.12%
|
|
Molecular Psychiatry
15 citations, 1.05%
|
|
Journal of Psychiatric Research
15 citations, 1.05%
|
|
Cochrane Database of Systematic Reviews
13 citations, 0.91%
|
|
PLoS ONE
13 citations, 0.91%
|
|
International Journal of Molecular Sciences
12 citations, 0.84%
|
|
British Journal of Psychiatry
12 citations, 0.84%
|
|
Neuropsychopharmacology
11 citations, 0.77%
|
|
Scientific Reports
11 citations, 0.77%
|
|
The Lancet Psychiatry
11 citations, 0.77%
|
|
BJPsych Open
10 citations, 0.7%
|
|
NeuroImage: Clinical
10 citations, 0.7%
|
|
JAMA Psychiatry
10 citations, 0.7%
|
|
Current Opinion in Psychiatry
10 citations, 0.7%
|
|
Frontiers in Psychology
9 citations, 0.63%
|
|
Progress in Neuro-Psychopharmacology and Biological Psychiatry
9 citations, 0.63%
|
|
Psychosis
9 citations, 0.63%
|
|
Psychiatric Services
9 citations, 0.63%
|
|
Social Psychiatry and Psychiatric Epidemiology
9 citations, 0.63%
|
|
International Journal of Environmental Research and Public Health
8 citations, 0.56%
|
|
Brain, Behavior, and Immunity
8 citations, 0.56%
|
|
European Neuropsychopharmacology
8 citations, 0.56%
|
|
Journal of Clinical Medicine
8 citations, 0.56%
|
|
Neuroscience and Biobehavioral Reviews
7 citations, 0.49%
|
|
BMJ Open
7 citations, 0.49%
|
|
Asian Journal of Psychiatry
7 citations, 0.49%
|
|
Psychology and Psychotherapy: Theory, Research and Practice
7 citations, 0.49%
|
|
NeuroImage
7 citations, 0.49%
|
|
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
7 citations, 0.49%
|
|
JMIR Mental Health
7 citations, 0.49%
|
|
Archives of Psychiatric Nursing
6 citations, 0.42%
|
|
Current Topics in Behavioral Neurosciences
6 citations, 0.42%
|
|
Psychiatry Research - Neuroimaging
6 citations, 0.42%
|
|
Behavioral Sciences
6 citations, 0.42%
|
|
Schizophrenia Research: Cognition
6 citations, 0.42%
|
|
Biomedicines
6 citations, 0.42%
|
|
Therapeutic Advances in Psychopharmacology
6 citations, 0.42%
|
|
Comprehensive Psychiatry
5 citations, 0.35%
|
|
Genes
5 citations, 0.35%
|
|
International Journal of Social Psychiatry
5 citations, 0.35%
|
|
JAMA network open
5 citations, 0.35%
|
|
Human Brain Mapping
5 citations, 0.35%
|
|
International Journal of Mental Health and Addiction
5 citations, 0.35%
|
|
Cognitive Neuropsychiatry
5 citations, 0.35%
|
|
International Journal of Mental Health
4 citations, 0.28%
|
|
Expert Review of Neurotherapeutics
4 citations, 0.28%
|
|
Pharmacological Research
4 citations, 0.28%
|
|
Psychiatry and Clinical Neurosciences
4 citations, 0.28%
|
|
Acta Psychiatrica Scandinavica
4 citations, 0.28%
|
|
Antioxidants
4 citations, 0.28%
|
|
Neuropsychiatric Disease and Treatment
4 citations, 0.28%
|
|
Heliyon
4 citations, 0.28%
|
|
Journal of Psychosocial Rehabilitation and Mental Health
4 citations, 0.28%
|
|
Nature Reviews Psychology
4 citations, 0.28%
|
|
Discover Mental Health
4 citations, 0.28%
|
|
Biomarkers in Neuropsychiatry
4 citations, 0.28%
|
|
Biological Psychiatry Global Open Science
4 citations, 0.28%
|
|
Nordic Journal of Psychiatry
3 citations, 0.21%
|
|
Neuropsychologia
3 citations, 0.21%
|
|
Clinical Psychology and Psychotherapy
3 citations, 0.21%
|
|
Journal of Nervous and Mental Disease
3 citations, 0.21%
|
|
Australian and New Zealand Journal of Psychiatry
3 citations, 0.21%
|
|
Clinical Psychology Review
3 citations, 0.21%
|
|
International Journal of Mental Health Nursing
3 citations, 0.21%
|
|
Journal of Vision
3 citations, 0.21%
|
|
CNS Spectrums
3 citations, 0.21%
|
|
Trends in Neurosciences
3 citations, 0.21%
|
|
Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova
3 citations, 0.21%
|
|
Psychoneuroendocrinology
3 citations, 0.21%
|
|
Journal of Mental Health
3 citations, 0.21%
|
|
EClinicalMedicine
3 citations, 0.21%
|
|
Frontiers in Human Neuroscience
3 citations, 0.21%
|
|
European Journal of Neuroscience
3 citations, 0.21%
|
|
Cerebral Cortex
3 citations, 0.21%
|
|
Seminars in Cell and Developmental Biology
3 citations, 0.21%
|
|
Neuropsychopharmacology Reports
3 citations, 0.21%
|
|
World Psychiatry
3 citations, 0.21%
|
|
Frontiers in Nutrition
3 citations, 0.21%
|
|
Frontiers in Neuroscience
3 citations, 0.21%
|
|
Behavioural Brain Research
3 citations, 0.21%
|
|
American Journal of Psychiatry
3 citations, 0.21%
|
|
npj Schizophrenia
3 citations, 0.21%
|
|
BMC Medicine
3 citations, 0.21%
|
|
Behavior Research Methods
3 citations, 0.21%
|
|
Current Psychiatry Reports
3 citations, 0.21%
|
|
Molecular Neurobiology
3 citations, 0.21%
|
|
Proceedings of the National Academy of Sciences of the United States of America
2 citations, 0.14%
|
|
Current Medical Research and Opinion
2 citations, 0.14%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
80
90
|
Citing publishers
50
100
150
200
250
300
350
400
|
|
Elsevier
361 citations, 25.33%
|
|
Springer Nature
258 citations, 18.11%
|
|
Wiley
102 citations, 7.16%
|
|
Oxford University Press
91 citations, 6.39%
|
|
MDPI
88 citations, 6.18%
|
|
Frontiers Media S.A.
84 citations, 5.89%
|
|
Taylor & Francis
65 citations, 4.56%
|
|
Cold Spring Harbor Laboratory
60 citations, 4.21%
|
|
Cambridge University Press
53 citations, 3.72%
|
|
SAGE
30 citations, 2.11%
|
|
Ovid Technologies (Wolters Kluwer Health)
22 citations, 1.54%
|
|
JMIR Publications
20 citations, 1.4%
|
|
Royal College of Psychiatrists
16 citations, 1.12%
|
|
American Medical Association (AMA)
15 citations, 1.05%
|
|
Public Library of Science (PLoS)
14 citations, 0.98%
|
|
American Psychiatric Association Publishing
13 citations, 0.91%
|
|
BMJ
7 citations, 0.49%
|
|
Research Square Platform LLC
6 citations, 0.42%
|
|
Georg Thieme Verlag KG
5 citations, 0.35%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
5 citations, 0.35%
|
|
Hindawi Limited
4 citations, 0.28%
|
|
Bentham Science Publishers Ltd.
3 citations, 0.21%
|
|
The Royal Society
3 citations, 0.21%
|
|
Association for Research in Vision and Ophthalmology (ARVO)
3 citations, 0.21%
|
|
S. Karger AG
3 citations, 0.21%
|
|
Media Sphere Publishing House
3 citations, 0.21%
|
|
Baishideng Publishing Group
3 citations, 0.21%
|
|
American Chemical Society (ACS)
2 citations, 0.14%
|
|
Proceedings of the National Academy of Sciences (PNAS)
2 citations, 0.14%
|
|
Association for Computing Machinery (ACM)
2 citations, 0.14%
|
|
Eco-Vector LLC
2 citations, 0.14%
|
|
Annual Reviews
2 citations, 0.14%
|
|
Medical Informational Agency Publishers
2 citations, 0.14%
|
|
Hogrefe Publishing Group
2 citations, 0.14%
|
|
Walter de Gruyter
1 citation, 0.07%
|
|
World Scientific
1 citation, 0.07%
|
|
EDP Sciences
1 citation, 0.07%
|
|
Pleiades Publishing
1 citation, 0.07%
|
|
Royal Society of Chemistry (RSC)
1 citation, 0.07%
|
|
American Association for the Advancement of Science (AAAS)
1 citation, 0.07%
|
|
1 citation, 0.07%
|
|
American Speech Language Hearing Association
1 citation, 0.07%
|
|
Revue Sante Mentale au Quebec
1 citation, 0.07%
|
|
Society for Neuroscience
1 citation, 0.07%
|
|
1 citation, 0.07%
|
|
Korean College of Neuropsychopharmacology
1 citation, 0.07%
|
|
European Society of Traumatic Stress Studies (ESTSS)
1 citation, 0.07%
|
|
Mark Allen Group
1 citation, 0.07%
|
|
The Russian Academy of Sciences
1 citation, 0.07%
|
|
SciELO
1 citation, 0.07%
|
|
V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology
1 citation, 0.07%
|
|
OpenEdition
1 citation, 0.07%
|
|
National Institute for Health and Care Research (NIHR)
1 citation, 0.07%
|
|
Moscow State University of Psychology and Education
1 citation, 0.07%
|
|
Ubiquity Press
1 citation, 0.07%
|
|
PAGEPress Publications
1 citation, 0.07%
|
|
SCEEMP
1 citation, 0.07%
|
|
F1000 Research
1 citation, 0.07%
|
|
IntechOpen
1 citation, 0.07%
|
|
AOSIS
1 citation, 0.07%
|
|
SLACK
1 citation, 0.07%
|
|
Asfendiyarov Kazakh National Medical University
1 citation, 0.07%
|
|
Show all (32 more) | |
50
100
150
200
250
300
350
400
|
Publishing organizations
5
10
15
20
25
|
|
King's College London
21 publications, 7.61%
|
|
Karolinska Institute
14 publications, 5.07%
|
|
University of Melbourne
14 publications, 5.07%
|
|
Harvard University
14 publications, 5.07%
|
|
University of California, Los Angeles
12 publications, 4.35%
|
|
University of California, San Diego
11 publications, 3.99%
|
|
University of Copenhagen
10 publications, 3.62%
|
|
University of Manchester
10 publications, 3.62%
|
|
University College London
9 publications, 3.26%
|
|
Amsterdam University Medical Center
9 publications, 3.26%
|
|
Yale University
8 publications, 2.9%
|
|
University of Toronto
8 publications, 2.9%
|
|
University of Cambridge
7 publications, 2.54%
|
|
Aarhus University
7 publications, 2.54%
|
|
University of Oslo
7 publications, 2.54%
|
|
McGill University
7 publications, 2.54%
|
|
University Medical Center Utrecht
7 publications, 2.54%
|
|
University of Maryland, Baltimore
7 publications, 2.54%
|
|
University of Oxford
6 publications, 2.17%
|
|
Copenhagen University Hospital
6 publications, 2.17%
|
|
University of Hong Kong
6 publications, 2.17%
|
|
University of California, Irvine
6 publications, 2.17%
|
|
University of Minnesota
6 publications, 2.17%
|
|
University of Amsterdam
6 publications, 2.17%
|
|
Centro de Investigación Biomédica en Red de Salud Mental
6 publications, 2.17%
|
|
Beth Israel Deaconess Medical Center
6 publications, 2.17%
|
|
University of Bern
5 publications, 1.81%
|
|
Medical University of Vienna
5 publications, 1.81%
|
|
Aarhus University Hospital
5 publications, 1.81%
|
|
Oslo University Hospital
5 publications, 1.81%
|
|
University of Campania "Luigi Vanvitelli"
5 publications, 1.81%
|
|
Northwestern University
5 publications, 1.81%
|
|
University of California, San Francisco
5 publications, 1.81%
|
|
Icahn School of Medicine at Mount Sinai
5 publications, 1.81%
|
|
University Medical Center Groningen
5 publications, 1.81%
|
|
Erasmus University Medical Center
5 publications, 1.81%
|
|
University of Texas Health Science Center at San Antonio
5 publications, 1.81%
|
|
Manchester Academic Health Science Centre
5 publications, 1.81%
|
|
Douglas Mental Health University Institute
5 publications, 1.81%
|
|
Helsinki University Hospital
4 publications, 1.45%
|
|
Lausanne University Hospital
4 publications, 1.45%
|
|
Maastricht University Medical Center+
4 publications, 1.45%
|
|
University of Nottingham
4 publications, 1.45%
|
|
University of Birmingham
4 publications, 1.45%
|
|
Johns Hopkins University
4 publications, 1.45%
|
|
Swinburne University of Technology
4 publications, 1.45%
|
|
Columbia University
4 publications, 1.45%
|
|
University of Illinois at Chicago
4 publications, 1.45%
|
|
Vrije Universiteit Amsterdam
4 publications, 1.45%
|
|
Charité - Universitätsmedizin Berlin
4 publications, 1.45%
|
|
Rhenish Friedrich Wilhelm University of Bonn
4 publications, 1.45%
|
|
Central Institute of Mental Health
4 publications, 1.45%
|
|
University of Tokyo
4 publications, 1.45%
|
|
Université Paris-Est Créteil
4 publications, 1.45%
|
|
Western University
4 publications, 1.45%
|
|
University of Calgary
4 publications, 1.45%
|
|
Indiana University School of Medicine
4 publications, 1.45%
|
|
Centre for Addiction and Mental Health
4 publications, 1.45%
|
|
Heidelberg University
3 publications, 1.09%
|
|
Second Xiangya Hospital of Central South University
3 publications, 1.09%
|
|
University of Zurich
3 publications, 1.09%
|
|
University of Bologna
3 publications, 1.09%
|
|
University of Oulu
3 publications, 1.09%
|
|
Finnish Institute for Health and Welfare
3 publications, 1.09%
|
|
Oulu University Hospital
3 publications, 1.09%
|
|
Maastricht University
3 publications, 1.09%
|
|
University of Sydney
3 publications, 1.09%
|
|
Diakonhjemmet Hospital
3 publications, 1.09%
|
|
University of Glasgow
3 publications, 1.09%
|
|
Monash University
3 publications, 1.09%
|
|
St Vincent's Hospital Melbourne
3 publications, 1.09%
|
|
University of California, Berkeley
3 publications, 1.09%
|
|
University of Aberdeen
3 publications, 1.09%
|
|
Keio University
3 publications, 1.09%
|
|
Semmelweis University
3 publications, 1.09%
|
|
Cologne University Hospital
3 publications, 1.09%
|
|
Ludwig Maximilian University of Munich
3 publications, 1.09%
|
|
University Hospital Bonn
3 publications, 1.09%
|
|
Federal University of Rio Grande do Sul
3 publications, 1.09%
|
|
Emory University
3 publications, 1.09%
|
|
University of Maryland, College Park
3 publications, 1.09%
|
|
Temple University
3 publications, 1.09%
|
|
Universidad Complutense de Madrid
3 publications, 1.09%
|
|
University of Barcelona
3 publications, 1.09%
|
|
Hospital Clínic de Barcelona
3 publications, 1.09%
|
|
University of Sussex
3 publications, 1.09%
|
|
University of North Carolina at Chapel Hill
3 publications, 1.09%
|
|
Indiana University Bloomington
3 publications, 1.09%
|
|
Beijing Normal University
2 publications, 0.72%
|
|
University of Tübingen
2 publications, 0.72%
|
|
Aix-Marseille University
2 publications, 0.72%
|
|
University of Lisbon
2 publications, 0.72%
|
|
University of Strasbourg
2 publications, 0.72%
|
|
University of Bordeaux
2 publications, 0.72%
|
|
University of Haifa
2 publications, 0.72%
|
|
Tampere University
2 publications, 0.72%
|
|
Humboldt University of Berlin
2 publications, 0.72%
|
|
Free University of Berlin
2 publications, 0.72%
|
|
University of Helsinki
2 publications, 0.72%
|
|
ETH Zurich
2 publications, 0.72%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing organizations in 5 years
2
4
6
8
10
12
14
16
|
|
King's College London
15 publications, 5.43%
|
|
Karolinska Institute
12 publications, 4.35%
|
|
Harvard University
11 publications, 3.99%
|
|
University of Melbourne
9 publications, 3.26%
|
|
University of California, San Diego
9 publications, 3.26%
|
|
University of Manchester
8 publications, 2.9%
|
|
University of California, Los Angeles
8 publications, 2.9%
|
|
University College London
7 publications, 2.54%
|
|
University of Oslo
7 publications, 2.54%
|
|
University of Copenhagen
6 publications, 2.17%
|
|
Aarhus University
6 publications, 2.17%
|
|
Yale University
6 publications, 2.17%
|
|
University of Hong Kong
6 publications, 2.17%
|
|
University of California, Irvine
6 publications, 2.17%
|
|
University of Toronto
6 publications, 2.17%
|
|
Beth Israel Deaconess Medical Center
6 publications, 2.17%
|
|
Medical University of Vienna
5 publications, 1.81%
|
|
University of Oxford
5 publications, 1.81%
|
|
University of Cambridge
5 publications, 1.81%
|
|
Oslo University Hospital
5 publications, 1.81%
|
|
Icahn School of Medicine at Mount Sinai
5 publications, 1.81%
|
|
University of Minnesota
5 publications, 1.81%
|
|
University Medical Center Utrecht
5 publications, 1.81%
|
|
University of Bern
4 publications, 1.45%
|
|
Lausanne University Hospital
4 publications, 1.45%
|
|
Copenhagen University Hospital
4 publications, 1.45%
|
|
Aarhus University Hospital
4 publications, 1.45%
|
|
University of Birmingham
4 publications, 1.45%
|
|
University of Campania "Luigi Vanvitelli"
4 publications, 1.45%
|
|
Northwestern University
4 publications, 1.45%
|
|
University of California, San Francisco
4 publications, 1.45%
|
|
Central Institute of Mental Health
4 publications, 1.45%
|
|
University Medical Center Groningen
4 publications, 1.45%
|
|
Amsterdam University Medical Center
4 publications, 1.45%
|
|
Université Paris-Est Créteil
4 publications, 1.45%
|
|
Erasmus University Medical Center
4 publications, 1.45%
|
|
University of Calgary
4 publications, 1.45%
|
|
Centro de Investigación Biomédica en Red de Salud Mental
4 publications, 1.45%
|
|
University of Texas Health Science Center at San Antonio
4 publications, 1.45%
|
|
Manchester Academic Health Science Centre
4 publications, 1.45%
|
|
Heidelberg University
3 publications, 1.09%
|
|
Second Xiangya Hospital of Central South University
3 publications, 1.09%
|
|
Helsinki University Hospital
3 publications, 1.09%
|
|
University of Zurich
3 publications, 1.09%
|
|
University of Bologna
3 publications, 1.09%
|
|
Maastricht University Medical Center+
3 publications, 1.09%
|
|
Maastricht University
3 publications, 1.09%
|
|
University of Sydney
3 publications, 1.09%
|
|
Diakonhjemmet Hospital
3 publications, 1.09%
|
|
University of Glasgow
3 publications, 1.09%
|
|
Swinburne University of Technology
3 publications, 1.09%
|
|
Columbia University
3 publications, 1.09%
|
|
University of Illinois at Chicago
3 publications, 1.09%
|
|
University of California, Berkeley
3 publications, 1.09%
|
|
Semmelweis University
3 publications, 1.09%
|
|
Cologne University Hospital
3 publications, 1.09%
|
|
Charité - Universitätsmedizin Berlin
3 publications, 1.09%
|
|
McGill University
3 publications, 1.09%
|
|
University Hospital Bonn
3 publications, 1.09%
|
|
Federal University of Rio Grande do Sul
3 publications, 1.09%
|
|
University of Tokyo
3 publications, 1.09%
|
|
University of Maryland, Baltimore
3 publications, 1.09%
|
|
Emory University
3 publications, 1.09%
|
|
Temple University
3 publications, 1.09%
|
|
Western University
3 publications, 1.09%
|
|
Indiana University School of Medicine
3 publications, 1.09%
|
|
Centre for Addiction and Mental Health
3 publications, 1.09%
|
|
Beijing Normal University
2 publications, 0.72%
|
|
University of Tübingen
2 publications, 0.72%
|
|
Aix-Marseille University
2 publications, 0.72%
|
|
University of Strasbourg
2 publications, 0.72%
|
|
University of Bordeaux
2 publications, 0.72%
|
|
Tampere University
2 publications, 0.72%
|
|
Humboldt University of Berlin
2 publications, 0.72%
|
|
Free University of Berlin
2 publications, 0.72%
|
|
ETH Zurich
2 publications, 0.72%
|
|
Geneva University Hospitals
2 publications, 0.72%
|
|
Australian National University
2 publications, 0.72%
|
|
Capital Medical University
2 publications, 0.72%
|
|
University of Basel
2 publications, 0.72%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
2 publications, 0.72%
|
|
University of Oulu
2 publications, 0.72%
|
|
University of Turku
2 publications, 0.72%
|
|
University of Eastern Finland
2 publications, 0.72%
|
|
Autonomous University of Barcelona
2 publications, 0.72%
|
|
University of Warwick
2 publications, 0.72%
|
|
Finnish Institute for Health and Welfare
2 publications, 0.72%
|
|
Oulu University Hospital
2 publications, 0.72%
|
|
University of Liverpool
2 publications, 0.72%
|
|
Statens Serum Institut
2 publications, 0.72%
|
|
Danish Cancer Society
2 publications, 0.72%
|
|
University of Edinburgh
2 publications, 0.72%
|
|
Guangzhou Medical University
2 publications, 0.72%
|
|
Norwegian Institute of Public Health
2 publications, 0.72%
|
|
Johns Hopkins University
2 publications, 0.72%
|
|
University of Brescia
2 publications, 0.72%
|
|
University of Ferrara
2 publications, 0.72%
|
|
St Vincent's Hospital Melbourne
2 publications, 0.72%
|
|
Stanford University
2 publications, 0.72%
|
|
New York University
2 publications, 0.72%
|
|
Show all (70 more) | |
2
4
6
8
10
12
14
16
|
Publishing countries
10
20
30
40
50
60
70
80
90
100
|
|
USA
|
USA, 92, 33.33%
USA
92 publications, 33.33%
|
United Kingdom
|
United Kingdom, 51, 18.48%
United Kingdom
51 publications, 18.48%
|
Canada
|
Canada, 33, 11.96%
Canada
33 publications, 11.96%
|
Netherlands
|
Netherlands, 28, 10.14%
Netherlands
28 publications, 10.14%
|
Germany
|
Germany, 24, 8.7%
Germany
24 publications, 8.7%
|
Australia
|
Australia, 21, 7.61%
Australia
21 publications, 7.61%
|
Switzerland
|
Switzerland, 17, 6.16%
Switzerland
17 publications, 6.16%
|
Denmark
|
Denmark, 16, 5.8%
Denmark
16 publications, 5.8%
|
Sweden
|
Sweden, 14, 5.07%
Sweden
14 publications, 5.07%
|
China
|
China, 13, 4.71%
China
13 publications, 4.71%
|
Italy
|
Italy, 13, 4.71%
Italy
13 publications, 4.71%
|
Norway
|
Norway, 10, 3.62%
Norway
10 publications, 3.62%
|
France
|
France, 8, 2.9%
France
8 publications, 2.9%
|
Spain
|
Spain, 8, 2.9%
Spain
8 publications, 2.9%
|
Japan
|
Japan, 8, 2.9%
Japan
8 publications, 2.9%
|
Brazil
|
Brazil, 7, 2.54%
Brazil
7 publications, 2.54%
|
Austria
|
Austria, 6, 2.17%
Austria
6 publications, 2.17%
|
Finland
|
Finland, 6, 2.17%
Finland
6 publications, 2.17%
|
India
|
India, 5, 1.81%
India
5 publications, 1.81%
|
Hungary
|
Hungary, 4, 1.45%
Hungary
4 publications, 1.45%
|
Czech Republic
|
Czech Republic, 4, 1.45%
Czech Republic
4 publications, 1.45%
|
Israel
|
Israel, 3, 1.09%
Israel
3 publications, 1.09%
|
Republic of Korea
|
Republic of Korea, 3, 1.09%
Republic of Korea
3 publications, 1.09%
|
Turkey
|
Turkey, 3, 1.09%
Turkey
3 publications, 1.09%
|
Portugal
|
Portugal, 2, 0.72%
Portugal
2 publications, 0.72%
|
Kenya
|
Kenya, 2, 0.72%
Kenya
2 publications, 0.72%
|
Singapore
|
Singapore, 2, 0.72%
Singapore
2 publications, 0.72%
|
Algeria
|
Algeria, 1, 0.36%
Algeria
1 publication, 0.36%
|
Bangladesh
|
Bangladesh, 1, 0.36%
Bangladesh
1 publication, 0.36%
|
Belgium
|
Belgium, 1, 0.36%
Belgium
1 publication, 0.36%
|
Georgia
|
Georgia, 1, 0.36%
Georgia
1 publication, 0.36%
|
Indonesia
|
Indonesia, 1, 0.36%
Indonesia
1 publication, 0.36%
|
Iran
|
Iran, 1, 0.36%
Iran
1 publication, 0.36%
|
Ireland
|
Ireland, 1, 0.36%
Ireland
1 publication, 0.36%
|
Cyprus
|
Cyprus, 1, 0.36%
Cyprus
1 publication, 0.36%
|
Kuwait
|
Kuwait, 1, 0.36%
Kuwait
1 publication, 0.36%
|
New Zealand
|
New Zealand, 1, 0.36%
New Zealand
1 publication, 0.36%
|
Pakistan
|
Pakistan, 1, 0.36%
Pakistan
1 publication, 0.36%
|
Poland
|
Poland, 1, 0.36%
Poland
1 publication, 0.36%
|
Romania
|
Romania, 1, 0.36%
Romania
1 publication, 0.36%
|
South Africa
|
South Africa, 1, 0.36%
South Africa
1 publication, 0.36%
|
Show all (11 more) | |
10
20
30
40
50
60
70
80
90
100
|
Publishing countries in 5 years
10
20
30
40
50
60
70
|
|
USA
|
USA, 67, 24.28%
USA
67 publications, 24.28%
|
United Kingdom
|
United Kingdom, 37, 13.41%
United Kingdom
37 publications, 13.41%
|
Canada
|
Canada, 26, 9.42%
Canada
26 publications, 9.42%
|
Netherlands
|
Netherlands, 18, 6.52%
Netherlands
18 publications, 6.52%
|
Germany
|
Germany, 17, 6.16%
Germany
17 publications, 6.16%
|
Australia
|
Australia, 16, 5.8%
Australia
16 publications, 5.8%
|
Switzerland
|
Switzerland, 14, 5.07%
Switzerland
14 publications, 5.07%
|
China
|
China, 12, 4.35%
China
12 publications, 4.35%
|
Sweden
|
Sweden, 12, 4.35%
Sweden
12 publications, 4.35%
|
Denmark
|
Denmark, 11, 3.99%
Denmark
11 publications, 3.99%
|
Italy
|
Italy, 11, 3.99%
Italy
11 publications, 3.99%
|
Norway
|
Norway, 9, 3.26%
Norway
9 publications, 3.26%
|
France
|
France, 8, 2.9%
France
8 publications, 2.9%
|
Austria
|
Austria, 6, 2.17%
Austria
6 publications, 2.17%
|
Brazil
|
Brazil, 6, 2.17%
Brazil
6 publications, 2.17%
|
Japan
|
Japan, 6, 2.17%
Japan
6 publications, 2.17%
|
India
|
India, 5, 1.81%
India
5 publications, 1.81%
|
Spain
|
Spain, 4, 1.45%
Spain
4 publications, 1.45%
|
Finland
|
Finland, 4, 1.45%
Finland
4 publications, 1.45%
|
Hungary
|
Hungary, 3, 1.09%
Hungary
3 publications, 1.09%
|
Czech Republic
|
Czech Republic, 3, 1.09%
Czech Republic
3 publications, 1.09%
|
Singapore
|
Singapore, 2, 0.72%
Singapore
2 publications, 0.72%
|
Turkey
|
Turkey, 2, 0.72%
Turkey
2 publications, 0.72%
|
Portugal
|
Portugal, 1, 0.36%
Portugal
1 publication, 0.36%
|
Algeria
|
Algeria, 1, 0.36%
Algeria
1 publication, 0.36%
|
Bangladesh
|
Bangladesh, 1, 0.36%
Bangladesh
1 publication, 0.36%
|
Israel
|
Israel, 1, 0.36%
Israel
1 publication, 0.36%
|
Indonesia
|
Indonesia, 1, 0.36%
Indonesia
1 publication, 0.36%
|
Iran
|
Iran, 1, 0.36%
Iran
1 publication, 0.36%
|
Ireland
|
Ireland, 1, 0.36%
Ireland
1 publication, 0.36%
|
Kenya
|
Kenya, 1, 0.36%
Kenya
1 publication, 0.36%
|
Kuwait
|
Kuwait, 1, 0.36%
Kuwait
1 publication, 0.36%
|
New Zealand
|
New Zealand, 1, 0.36%
New Zealand
1 publication, 0.36%
|
Pakistan
|
Pakistan, 1, 0.36%
Pakistan
1 publication, 0.36%
|
Poland
|
Poland, 1, 0.36%
Poland
1 publication, 0.36%
|
Republic of Korea
|
Republic of Korea, 1, 0.36%
Republic of Korea
1 publication, 0.36%
|
South Africa
|
South Africa, 1, 0.36%
South Africa
1 publication, 0.36%
|
Show all (7 more) | |
10
20
30
40
50
60
70
|
4 profile journal articles
Palaniyappan Lena
283 publications,
7 868 citations
h-index: 45
4 profile journal articles
Galderisi Silvana
271 publications,
12 814 citations
h-index: 56
3 profile journal articles
Drake Richard
🥼
PhD in Psychology, Professor, Full member of the Academy of Sciences of Albania

University of Manchester
143 publications,
7 737 citations
h-index: 38
Research interests
Clinical trials
Epidemiology
Schizophrenia
1 profile journal article
Martins Daniel
79 publications,
1 150 citations
h-index: 19
1 profile journal article
Juul Jens
1 741 publications,
110 690 citations
h-index: 161