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SCImago
Q3
WOS
Q3
Impact factor
2.5
SJR
0.745
CiteScore
5.2
Categories
Neuroscience (miscellaneous)
Areas
Neuroscience
Years of issue
1975-2025
journal names
Neuroscience Letters
NEUROSCI LETT
Top-3 citing journals

Brain Research
(37984 citations)

Neuroscience Letters
(28475 citations)

Neuroscience
(25623 citations)
Top-3 organizations

Karolinska Institute
(548 publications)

Kyoto University
(427 publications)

University of Tokyo
(389 publications)

Chongqing Medical University
(37 publications)

Zhejiang University
(33 publications)

Capital Medical University
(29 publications)
Most cited in 5 years
Found
Publications found: 664
Q3

Understanding Myocardial Ischemia: Cardiac Magnetic Resonance Insight Into Coronary Macro- and Microcirculation Pathophysiology
Takafuji M., Ishida M.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
The purpose of this paper is to summarize the recent myocardial perfusion cardiovascular magnetic resonance (CMR) studies in the context of the diagnostic and prognostic value of epicardial coronary artery disease (CAD), coronary microvascular dysfunction (CMD) and the non-ischemic heart disease. Recent developments of the sequence and the post-processing of myocardial perfusion CMR images have enabled the quantitative assessment of myocardial perfusion, facilitating a significant shift from qualitative to quantitative assessment of stress perfusion CMR. Quantitative assessment of perfusion CMR allows objective and accurate assessment of myocardial ischemia in the detection of CAD, and may have the potential to assess CMD. Moreover, the integration of quantitative perfusion CMR with cine for functional assessment and late gadolinium enhancement and T1/T2 mapping for tissue characterization techniques allows for a deeper understanding of the pathophysiology and a capability of prognostic stratification for various cardiovascular diseases.
Q3

Cardio-Rheumatology: From Inflammation to Heart Failure. The Emerging Role of Cardiovascular Magnetic Resonance Imaging
Markousis-Mavrogenis G., Pepe A., Mukherjee M., Vartela V., Weber B., Mavrogeni S.I.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Systemic inflammation is a major trigger for cardiovascular disease (CVD) and consequent heart failure (HF). Our purpose is to present the impact of inflammation in the development of HF in autoimmune rheumatic diseases (ARDs) and the emerging role of Cardiovascular Magnetic Resonance (CMR). ARDs represent the best example of systemic inflammation and are associated with increased risk of cardiovascular disease (CVD) finally leading to heart failure with preserved (HFpEF) or reduced ejection fraction (HFrEF). Systemic and local inflammation of the CV system may lead to myo-pericarditis, autoimmune inflammatory cardiomyopathy (AIC), valvular heart disease (VHD) and macro-/micro-coronary artery disease (CAD). Furthermore, the anti-rheumatic medication, used to control systemic inflammation, may also lead to myocardial cytotoxic effect. Silent clinical presentation is the main characteristic of CVD in ARDs, which makes the early, accurate diagnosis challenging. Furthermore, although there is great progress in the development of new anti-rheumatic medication, the CVD incidence/mortality in ARDs is still higher, compared to the rest of the population. High clinical awareness and use of new advanced technologies, such as CMR that can perform function and tissue characterization in the same examination, was proven useful for early diagnosis, risk stratification and treatment evaluation of CVD in ARDs. Lastly, the cardio-protective effect of anti-rheumatic and the immunomo-dulatory effect of cardiac medication hold the promise for better CVD control and potentially mortality reduction.
Q3

Insights of Cardiovascular Involvement in Women by Non-Invasive Imaging – Focus on Polycystic Ovaries Syndrome
Różewicz-Juraszek M., Ganbat M., Nagel E., Puntmann V.O.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Abstract
Purpose of Review
The purpose of this paper is to review the results of studies from the last 3 years, presenting the current state of knowledge on the pathophysiological effect of polycystic ovary syndrome (PCOS) on the cardiovascular system, with cardiac involvement using non-invasive cardiovascular investigations.
Recent Findings
PCOS is a complex endocrine disorder that has a significant impact on the cardiovascular system. Recent studies confirm that PCOS increases the risk of cardiovascular disease (CVD) as well as the occurrence of cardiovascular events (CVE), including myocardial infarction (MI), coronary artery disease, and revascularization. These findings support the need for early screening and implementation of CVD prevention in women with PCOS.
Summary
Current evidence documents important and previously unrecognized mechanisms by which PCOS may adversely affect the cardiovascular system in affected women. Further studies are needed to in-depth characterisation of the cardiovascular phenotype of patients with PCOS. There is still a lack of studies using advanced cardiac imaging methods, including cardiac magnetic resonance imaging (CMR).
Graphical Abstract
Q3

Emerging Role of 4D Flow for Clinical use in Adult Congenital Heart Disease
Voges I., Ide Y., Puntmann V., Gabbert D., Krupickova S.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Abstract
Purpose of Review
4-dimensional phase-contrast flow measurement (4D Flow) has an increasing clinical and scientific potential in patients with congenital heart disease (CHD). In this review, we present up-to-date information about the benefits of 4D Flow in adults with CHD (ACHD).
Recent Findings
Due to sequence and software developments 4D is now routinely used for clinical blood flow measurements in ACHD patients. An increasing number of studies also shows that 4D Flow-derived advanced hemodynamic markers cannot only explain cardiovascular conditions but that they can help in ACHD management. Moreover, with the use of computational fluid dynamics and deep learning techniques 4D Flow might help in exploring and developing personalized medical treatment strategies.
Summary
Utilization of 4D Flow has become widely spread in research as well as in clinical practice allowing to explore morphological and hemodynamical consequences in ACHD.
Q3

Myocardial Scar Imaging: Viability Beyond REVIVED
Kiberu Y., Jathanna N., Narayanan N., Vanezis A.P., Erhayiem B., Graham A., Jamil-Copley S.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Abstract
Purpose of Review
It was previously believed that the presence of myocardial viability in patients with significant coronary artery disease improved outcomes following revascularisation, but the landmark STITCH trial found no significant correlation between viability and overall survival. However, the study used single photon emission contrast tomography or dobutamine stress echocardiography for viability assessment, but late gadolinium enhanced cardiac magnetic resonance imaging (LGE-CMR) has since become the gold standard for viability assessment. Additionally, there has been significant progress in heart failure pharmacotherapy. Leveraging these advances, the REVIVED study authors revisited the role of revascularisation on heart failure patient clinical outcomes. Similar to the STITCH study, REVIVED also identified a lack of correlation between viability and outcomes, confirming its limited role in revascularisation decision making. The purpose of this review is to discuss the advances in myocardial viability imaging and the role of LGE-CMR scar assessment beyond the REVIVED study.
Recent Findings
Myocardial scar predisposes to ventricular arrythmias and sudden cardiac death (SCD). It is the authors’ opinion that beyond REVIVED, focus should be placed on optimising the management of ventricular arrhythmias through visualisation and characterisation of cardiac scar to improve clinical outcomes. A significant proportion of SCDs occur in patients who remain unprotected if guided by current recommendations. Several studies have confirmed the presence and burden of scar as a better predictor of clinical outcomes in comparison to the current gold standard of left ventricular ejection fraction (LVEF).
Summary
The potential of machine learning and radiomics to visualise cardiac anatomy and characterise scar, leveraged with the ability to integrate segmented CMR and clinical electroanatomic maps intraoperatively shows promise in improving outcomes in VT ablations and delivering precision treatment based on individual risk.
Q3

A Review on Machine Learning for Arterial Extraction and Quantitative Assessment on Invasive Coronary Angiograms
Baral P., Zhao C., Esposito M., Zhou W.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Recently, machine learning (ML) has developed rapidly in the field of medicine, playing an important role in disease diagnosis and treatment. Our aim of this paper is to provide an overview of the advancements in ML techniques applied to invasive coronary angiography (ICA) for segmentation of coronary arteries and quantitative evaluation, such as stenosis detection and fractional flow reserve (FFR) assessment. Machine learning techniques are used extensively along with ICA for the segmentation of arteries and quantitative evaluation of stenosis and measurement of FFR, representing a trend towards using computational methods for enhanced diagnostic precision in cardiovascular medicine. Various research studies with different algorithms and datasets have been conducted in this field. The performance of these studies largely depends on the algorithms employed and the datasets used for training and validation. However, despite the progress made, there remains a need for ML algorithms that can be easily integrated into clinical practice.
Q3

Positron Emission Tomography in the Diagnosis and Management of Cardiac Allograft Vasculopathy
Csecs I., Yakkali S., Feher A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
This review aims to evaluate the current diagnostic standards for cardiac allograft vasculopathy (CAV) in heart transplant recipients, with a focus on the role of positron emission tomography (PET) myocardial perfusion imaging (MPI). The review addresses the efficacy of PET as a non-invasive alternative to invasive coronary angiography (ICA) and discusses recent guidelines and advancements in the detection and management of CAV. Recent research underscores the potential role of PET imaging in detecting CAV, particularly by assessing myocardial blood flow (MBF) and myocardial flow reserve (MFR). PET has emerged as a highly effective tool, offering potential advantages in diagnostic accuracy, cost-effectiveness, and reduced radiation exposure compared to ICA. The 2023 International Society for Heart and Lung Transplantation guidelines list PET MPI as a Class IIa indication for non-invasive CAV screening, highlighting its superior prognostic value. Studies demonstrate that PET-derived MBF and MFR correlate well with invasive measures and predict adverse outcomes, emphasizing the role of PET MPI in the early detection and management of CAV. Additionally, PET MPI can potentially reduce the need for frequent invasive procedures, thereby lowering healthcare costs. PET MPI significantly enhances the detection and prognostication of CAV in heart transplant recipients, providing a non-invasive, accurate, and cost-effective alternative to ICA. Integrating PET into routine surveillance protocols can improve early diagnosis and management of CAV, ultimately enhancing patient outcomes. Large multicenter studies are needed to optimize surveillance strategies and to further validate the role of PET in CAV detection and management.
Q3

Insights of Inflammatory Heart Involvement in Cardiac Sarcoidosis – A Systemic Review
Treiber J., Hamm C.W., Sossalla S.T., Rolf A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Abstract
Purpose of the Review
The purpose of this paper is to review the current knowledge regarding imaging inflammation in cardiac sarcoidosis (CS).
Recent Findings
Noninvasive imaging methods like cardiac magnetic resonance (CMR) and 18-fluorodeoxyglucose (18FDG) positron-emission tomography-computed tomography (PET-CT) scans have emerged as the most important modalities in diagnosing and monitor therapy efficacy in CS. The differentiation between an active and a chronic, silent clinical state is crucial for decision making. T1- and T2-mapping by CMR provide a unique opportunity to discriminate normal and diseased myocardium by detecting myocardial edema and fibrosis. While T1-mapping is sensitive to fibrosis and edema, T2 is primarily influenced by tissue water content. Increased 18-fluorodeoxyglucose (18FDG) uptake in positron-emission tomography-computed tomography (PET-CT) scan is a hallmark feature of CS and defines active inflammation. Therefore, the hybrid application of both CMR and 18FDG-PET-CT scans has evolved as the standard procedure to detect CS and monitor the therapeutic response.
Summary
Imaging inflammation in CS is basically performed by CMR T2-mapping and 18FDG uptake in PET-CT scan. Both are reliable methods in identifying active CS and follow up therapy and can be used synergistically. Additionally CMR provides further prognostic insights by late gadolinium enhancement that increases the risk for malignant arrhythmia and for relapse after therapy weaning.
Q3

Advanced Cardiovascular Magnetic Resonance Imaging in Takotsubo Syndrome: Update on Feature Tracking and Tissue Mapping
Sclafani M., Tini G., Musumeci B., Cianca A., Maestrini V., Cacciotti L., Arcari L.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 1
,

Open Access
,
PDF
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Abstract
Abstract
Backgrounds
Takotsubo syndrome (TTS) is an intriguing clinical entity characterized by transient myocardial dysfunction. The precise pathophysiological mechanism of TTS is still unknown, but recent evidence suggests a central role of systemic inflammation associated with adrenergic discharge. Although initially considered benign, TTS has shown several potential short-term and long-term complications and adverse outcomes. To improve understanding and management, advanced cardiovascular magnetic resonance (CMR) techniques, such as feature tracking (FT) and parametric mapping, have gained attention.
Purpose of Review
The purpose of this review is to summarize the current literature on the clinical applications of CMR-FT and mapping in TTS. Additionally, the most significant and recent findings will be discussed.
Recent Findings
FT-CMR enables the parametric quantification of myocardial deformation, allowing a comprehensive evaluation of left ventricular, right ventricular, and atrial function. It provides an accurate definition of areas of myocardial dysfunction and potentially serves as a superior prognostic tool compared to ejection fraction. Tissue mapping techniques enable precise and comprehensive tissue characterization by quantifying areas of oedema, and myocardial fibrosis.
Summary
FT-CMR and mapping techniques serve as valuable prognostic tools both in the acute and chronic phases of TTS. They can detect subtle alterations and pan-cardiac involvement, while also providing important insights into the complex underlying mechanisms of the syndrome.
Q3

Cardiovascular Education in the Digital Age
Torres-Torres A.M., Monerat N., Al-Shaibi K., Tash A., Alasnag M.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
Medical education has evolved remarkably during the last decade whereby the conventional large lecture halls, long didactic presentations, and textbooks have been replaced by smaller groups with a mentor–mentee pairing coupled with technological advances that permit a more intimate and yet comprehensive learning experience. The purpose of this review is to summarize the novel models of education and serve as a reference for educators. In the wake of a global pandemic, coronavirus-19 infection, higher education replaced conventional lecture hall formats with novel methods that are not face-to-face classes ushering in a new era of medical education. Recent studies have shown that social media has gradually emerged as an essential ancillary educational tool in cardiology. These studies recommend the integration of social media as well as other remote learning tools such as augmented reality, virtual reality, and smart glasses into the standard bedside and didactic curricula. However, educators will need research-based guidelines to inform instructional planning and implementation that ensure adequate exposure and fulfillment of the necessary competency requirements. The current role of social media, medical computer software applications, online tools, and virtual platforms and technology play a valuable role in modern-day cardiology training. This review examines each of these tools’ advantages and disadvantages as well as the notable gap in knowledge.
Q3

Review of Ultrasound Enhancing Agents in Echocardiography for Better Diagnostic Accuracy
Thamman R., Janardhanan R.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
This abstract aims to examine the advancements in the utilization, indications, and implementation of ultrasound enhancing agents (UEAs) and their potential to enhance cost-effective diagnostics. The review highlights significant progress in the application of UEAs, particularly in improving the delineation of endocardial borders, enhancing interpretation of wall motion, and increasing diagnostic accuracy. Moreover, UEAs contribute to streamlining workflows and help avoid more expensive procedures, especially in cases with technically challenging or suboptimal studies. UEAs have shown great promise in various medical scenarios, such as enhancing the visualization of the cardiac blood pool and enabling better assessment of ventricular borders, ventricular function, masses, and other intracavitary or myocardial abnormalities. This abstract presents an overview of the recent findings that underscore the potential benefits of UEAs in optimizing cardiac diagnostics while considering cost-effectiveness.
Q3

Role of Cardiac MRI in Pericardial Diseases
Anthony C., Akintoye E., Wang T.K., Klein A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
,
PDF
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Abstract
To explore and highlight the important role that Cardiac MRI (CMR) plays as an imaging tool that not only facilitates the diagnosis of pericardial disease but is increasingly used to guide initiation of treatment and gauge adequacy of response to therapy in patients with acute and recurrent pericarditis is a specific focus of this review. An emphasis will be placed on the sequences that are currently utilized and novel sequences that could potentially be utilized for the diagnosis of pericarditis and pericardial disease. This article focuses on the CMR characteristics of the most encountered pericardial diseases and novel CMR techniques that may play an adjunctive role in the diagnosis, management, prognosis and the assessment of adequacy of response to therapy in patients with acute pericarditis. CMR has emerged as a powerful tool in the diagnosis of pericardial disease. This is a review of the current and future roles that CMR-based sequences play in not only the diagnosis of pericardial disease, but also in evaluating the need for medical therapy and gauging adequacy of response to therapy in this cohort.
Q3

Correction: Post‑acute Cardiovascular Sequelae of COVID‑19: an Overview of Functional and Imaging Insights
Rodriguez C.R., Rodriguez R.A., Valbuena S., Mueller S., Halle M., Nagel E., Puntmann V.O.
Q3

The Additional Value of T1 Mapping in Cardiac Disease: State of the Art
Ascione R., De Giorgi M., Dell’Aversana S., Di Costanzo G., Nappi C., Imbriaco M., Ponsiglione A.
Q3
Current Cardiovascular Imaging Reports
,
2023
,
citations by CoLab: 2
,

Open Access
,
PDF
|
Abstract
Abstract
Purpose of the Review
This paper delves into the emerging realm of T1 mapping, exploring recent innovations and their relevance across several cardiac diseases.
Recent Findings
T1 mapping with cardiovascular magnetic resonance (CMR) imaging has emerged as a valuable tool for cardiac disease evaluation, offering diagnostic, therapeutic, and prognostic insights. Tissue characterization using parametric mapping methods holds the promise of identifying and quantifying both focal and diffuse changes in myocardial structure, which cannot be adequately assessed through late gadolinium enhancement (LGE).
Summary
CMR imaging, particularly LGE, has enhanced cardiac tissue characterization. However, the detection of diffuse interstitial fibrosis remains challenging, necessitating the exploration of alternative techniques. T1 mapping could probably represent a game changer in the evaluation of diffuse and focal fibrosis in multiple cardiovascular conditions.
Q3

Post-acute Cardiovascular Sequelae of COVID-19: an Overview of Functional and Imaging Insights
Puntmann V.O., Rodriguez C.R., Rodriguez R.A., ValbuenaMueller S.S., Halle M., Nagel E.
Q3
Current Cardiovascular Imaging Reports
,
2023
,
citations by CoLab: 0
,

Open Access
,
PDF
|
Abstract
Abstract
Purpose of Review
To evaluate the potential role of advanced cardiac imaging and cardiopulmonary exercise testing in the diagnosis and evaluation of persistent cardiovascular conditions after SARS-CoV-2 infection.
Recent Findings
SARS-COV-2 has shown an overwhelming capacity to attack multiple organs, with the respiratory system being the most frequently involved. However, various cardiovascular complications have been reported during the course of the disease, becoming one of the most important causes of morbidity and mortality. Many articles have addressed the acute cardiovascular complications of SARS-CoV-2; however, chronic cardiovascular conditions that persist beyond acute infection are less well studied. Echocardiography has a role during the initial approach, but advanced cardiac images such as cardiac magnetic resonance and cardiac CT can be required since a normal echo finding does not exclude cardiovascular involvement. Cardiopulmonary exercise testing has proven to be a highly valuable tool in cases where the symptoms persist besides normal advanced images.
Summary
The present review includes the most relevant articles regarding the use of cardiac imaging and cardiopulmonary exercise testing in the evaluation of chronic cardiovascular manifestations of COVID-19.
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|
|
Walter de Gruyter
2234 citations, 0.22%
|
|
Spandidos Publications
2183 citations, 0.22%
|
|
Pleiades Publishing
2150 citations, 0.21%
|
|
BMJ
2038 citations, 0.2%
|
|
Royal Society of Chemistry (RSC)
1859 citations, 0.19%
|
|
The Endocrine Society
1811 citations, 0.18%
|
|
The Company of Biologists
1767 citations, 0.18%
|
|
American Association for the Advancement of Science (AAAS)
1692 citations, 0.17%
|
|
IOP Publishing
1272 citations, 0.13%
|
|
Annual Reviews
1265 citations, 0.13%
|
|
MIT Press
1205 citations, 0.12%
|
|
Federation of American Societies for Experimental Biology (FASEB)
1193 citations, 0.12%
|
|
Portland Press
1017 citations, 0.1%
|
|
Journal of Neurosurgery Publishing Group (JNSPG)
960 citations, 0.1%
|
|
eLife Sciences Publications
939 citations, 0.09%
|
|
Pharmaceutical Society of Japan
917 citations, 0.09%
|
|
World Scientific
887 citations, 0.09%
|
|
The Royal Society
852 citations, 0.08%
|
|
Impact Journals
838 citations, 0.08%
|
|
773 citations, 0.08%
|
|
American Society for Microbiology
702 citations, 0.07%
|
|
American Medical Association (AMA)
650 citations, 0.06%
|
|
American Psychological Association (APA)
578 citations, 0.06%
|
|
IntechOpen
556 citations, 0.06%
|
|
Hogrefe Publishing Group
541 citations, 0.05%
|
|
Rockefeller University Press
519 citations, 0.05%
|
|
Canadian Science Publishing
509 citations, 0.05%
|
|
Baishideng Publishing Group
508 citations, 0.05%
|
|
American Society for Clinical Investigation
486 citations, 0.05%
|
|
Scientific Research Publishing
484 citations, 0.05%
|
|
SciELO
428 citations, 0.04%
|
|
The American Association of Immunologists
401 citations, 0.04%
|
|
Human Kinetics
375 citations, 0.04%
|
|
371 citations, 0.04%
|
|
Research Square Platform LLC
360 citations, 0.04%
|
|
PeerJ
359 citations, 0.04%
|
|
Bioscientifica
352 citations, 0.04%
|
|
European Molecular Biology Organization
346 citations, 0.03%
|
|
American Speech Language Hearing Association
337 citations, 0.03%
|
|
The Society of Physical Therapy Science
329 citations, 0.03%
|
|
Media Sphere Publishing House
322 citations, 0.03%
|
|
SPIE-Intl Soc Optical Eng
321 citations, 0.03%
|
|
Akademiai Kiado
320 citations, 0.03%
|
|
Medknow
306 citations, 0.03%
|
|
F1000 Research
305 citations, 0.03%
|
|
American Society for Nutrition
301 citations, 0.03%
|
|
295 citations, 0.03%
|
|
American Diabetes Association
291 citations, 0.03%
|
|
Pharmaceutical Society of Korea
281 citations, 0.03%
|
|
AME Publishing Company
276 citations, 0.03%
|
|
IGI Global
276 citations, 0.03%
|
|
AIP Publishing
271 citations, 0.03%
|
|
Association for Research in Vision and Ophthalmology (ARVO)
257 citations, 0.03%
|
|
American Association for Cancer Research (AACR)
253 citations, 0.03%
|
|
Aging and Disease
244 citations, 0.02%
|
|
American Psychiatric Association Publishing
244 citations, 0.02%
|
|
Association for Computing Machinery (ACM)
226 citations, 0.02%
|
|
Korean Society for Brain and Neural Science
221 citations, 0.02%
|
|
American Thoracic Society
219 citations, 0.02%
|
|
Hans Publishers
219 citations, 0.02%
|
|
Acoustical Society of America (ASA)
218 citations, 0.02%
|
|
Society for the Study of Reproduction
216 citations, 0.02%
|
|
Brill
209 citations, 0.02%
|
|
IMR Press
203 citations, 0.02%
|
|
China Science Publishing & Media
200 citations, 0.02%
|
|
Science Alert
198 citations, 0.02%
|
|
EDP Sciences
194 citations, 0.02%
|
|
Environmental Health Perspectives
193 citations, 0.02%
|
|
191 citations, 0.02%
|
|
Korean College of Neuropsychopharmacology
171 citations, 0.02%
|
|
Korean Neuropsychiatric Association
166 citations, 0.02%
|
|
Korean Society of Applied Pharmacology
165 citations, 0.02%
|
|
American Society for Cell Biology (ASCB)
164 citations, 0.02%
|
|
Optica Publishing Group
163 citations, 0.02%
|
|
Royal College of Psychiatrists
161 citations, 0.02%
|
|
Show all (70 more) | |
50000
100000
150000
200000
250000
300000
350000
400000
|
Publishing organizations
100
200
300
400
500
600
|
|
Karolinska Institute
548 publications, 1.42%
|
|
Kyoto University
427 publications, 1.11%
|
|
University of Tokyo
389 publications, 1.01%
|
|
Osaka University
337 publications, 0.87%
|
|
Harvard University
303 publications, 0.79%
|
|
Heidelberg University
285 publications, 0.74%
|
|
Nagoya University
231 publications, 0.6%
|
|
University of British Columbia
227 publications, 0.59%
|
|
Ludwig Maximilian University of Munich
218 publications, 0.57%
|
|
Tohoku University
217 publications, 0.56%
|
|
University College London
216 publications, 0.56%
|
|
Hokkaido University
207 publications, 0.54%
|
|
Peking University
204 publications, 0.53%
|
|
University of Toronto
200 publications, 0.52%
|
|
Air Force Medical University
185 publications, 0.48%
|
|
Fudan University
182 publications, 0.47%
|
|
Shanghai Jiao Tong University
179 publications, 0.46%
|
|
Seoul National University
177 publications, 0.46%
|
|
University of Pennsylvania
177 publications, 0.46%
|
|
Massachusetts General Hospital
175 publications, 0.45%
|
|
Karolinska University Hospital
174 publications, 0.45%
|
|
University of California, San Diego
174 publications, 0.45%
|
|
University of Helsinki
173 publications, 0.45%
|
|
University of Michigan
173 publications, 0.45%
|
|
Capital Medical University
171 publications, 0.44%
|
|
University of California, San Francisco
171 publications, 0.44%
|
|
University of California, Los Angeles
170 publications, 0.44%
|
|
Johns Hopkins University
166 publications, 0.43%
|
|
Sapienza University of Rome
163 publications, 0.42%
|
|
University of Texas Medical Branch
162 publications, 0.42%
|
|
Kyushu University
161 publications, 0.42%
|
|
McGill University
158 publications, 0.41%
|
|
Yale University
157 publications, 0.41%
|
|
University of Tsukuba
154 publications, 0.4%
|
|
University of Sydney
154 publications, 0.4%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
149 publications, 0.39%
|
|
University of Milan
147 publications, 0.38%
|
|
Kyung Hee University
146 publications, 0.38%
|
|
Max Planck Institute of Psychiatry
143 publications, 0.37%
|
|
National Autonomous University of Mexico
143 publications, 0.37%
|
|
Niigata University
141 publications, 0.37%
|
|
University of Florida
140 publications, 0.36%
|
|
Chongqing Medical University
139 publications, 0.36%
|
|
Hiroshima University
139 publications, 0.36%
|
|
University of Tübingen
138 publications, 0.36%
|
|
Okayama University
138 publications, 0.36%
|
|
Charité - Universitätsmedizin Berlin
136 publications, 0.35%
|
|
University of Minnesota
136 publications, 0.35%
|
|
Tokyo Medical and Dental University
134 publications, 0.35%
|
|
Zhejiang University
133 publications, 0.35%
|
|
Stanford University
133 publications, 0.35%
|
|
National Cheng Kung University
131 publications, 0.34%
|
|
National Center of Neurology and Psychiatry
131 publications, 0.34%
|
|
Cornell University
128 publications, 0.33%
|
|
Gunma University
128 publications, 0.33%
|
|
University of Florence
126 publications, 0.33%
|
|
University of Manchester
124 publications, 0.32%
|
|
Yokohama City University
124 publications, 0.32%
|
|
Columbia University
123 publications, 0.32%
|
|
University of Bordeaux
120 publications, 0.31%
|
|
Nanjing Medical University
120 publications, 0.31%
|
|
University of Gothenburg
118 publications, 0.31%
|
|
King's College London
118 publications, 0.31%
|
|
Kobe University
117 publications, 0.3%
|
|
University of Cambridge
116 publications, 0.3%
|
|
University of Washington
116 publications, 0.3%
|
|
Uppsala University
114 publications, 0.3%
|
|
University of Melbourne
114 publications, 0.3%
|
|
Johannes Gutenberg University Mainz
114 publications, 0.3%
|
|
Tokyo Metropolitan Institute of Gerontology
114 publications, 0.3%
|
|
University of California, Irvine
113 publications, 0.29%
|
|
Sun Yat-sen University
112 publications, 0.29%
|
|
Shandong University
112 publications, 0.29%
|
|
University of Zurich
111 publications, 0.29%
|
|
Monash University
111 publications, 0.29%
|
|
Federal University of Rio Grande do Sul
111 publications, 0.29%
|
|
National Institute of Mental Health
111 publications, 0.29%
|
|
Imperial College London
110 publications, 0.29%
|
|
Fujita Health University
110 publications, 0.29%
|
|
Leipzig University
109 publications, 0.28%
|
|
University of Barcelona
109 publications, 0.28%
|
|
University of Göttingen
108 publications, 0.28%
|
|
Chiba University
108 publications, 0.28%
|
|
National Institute for Physiological Sciences
106 publications, 0.28%
|
|
Humboldt University of Berlin
104 publications, 0.27%
|
|
Korea University
104 publications, 0.27%
|
|
Yonsei University
103 publications, 0.27%
|
|
Washington University in St. Louis
103 publications, 0.27%
|
|
Julius Maximilian University of Würzburg
102 publications, 0.26%
|
|
University of Oxford
101 publications, 0.26%
|
|
National Yang Ming Chiao Tung University
101 publications, 0.26%
|
|
Emory University
99 publications, 0.26%
|
|
Xi'an Jiaotong University
97 publications, 0.25%
|
|
Wayne State University
97 publications, 0.25%
|
|
Heinrich Heine University Düsseldorf
97 publications, 0.25%
|
|
University of Miami
97 publications, 0.25%
|
|
Albert Ludwig University of Freiburg
96 publications, 0.25%
|
|
Rhenish Friedrich Wilhelm University of Bonn
94 publications, 0.24%
|
|
Juntendo University
94 publications, 0.24%
|
|
Pennsylvania State University
93 publications, 0.24%
|
|
Show all (70 more) | |
100
200
300
400
500
600
|
Publishing organizations in 5 years
5
10
15
20
25
30
35
40
|
|
Chongqing Medical University
37 publications, 1.48%
|
|
Zhejiang University
33 publications, 1.32%
|
|
Capital Medical University
29 publications, 1.16%
|
|
Fudan University
27 publications, 1.08%
|
|
Shandong University
26 publications, 1.04%
|
|
Nanjing Medical University
25 publications, 1%
|
|
Xi'an Jiaotong University
22 publications, 0.88%
|
|
Qingdao University
21 publications, 0.84%
|
|
Hebei Medical University
19 publications, 0.76%
|
|
Air Force Medical University
18 publications, 0.72%
|
|
Shanghai Jiao Tong University
17 publications, 0.68%
|
|
Peking University
16 publications, 0.64%
|
|
Soochow University (Suzhou)
16 publications, 0.64%
|
|
Southeast University
15 publications, 0.6%
|
|
Sun Yat-sen University
15 publications, 0.6%
|
|
Tianjin Medical University
15 publications, 0.6%
|
|
Harvard University
15 publications, 0.6%
|
|
Wenzhou Medical University
15 publications, 0.6%
|
|
Zhengzhou University
15 publications, 0.6%
|
|
Osaka University
15 publications, 0.6%
|
|
National Autonomous University of Mexico
15 publications, 0.6%
|
|
Kyoto University
13 publications, 0.52%
|
|
Iran University of Medical Sciences
12 publications, 0.48%
|
|
Yale University
12 publications, 0.48%
|
|
Massachusetts General Hospital
12 publications, 0.48%
|
|
University of Tehran
11 publications, 0.44%
|
|
Nanjing University
11 publications, 0.44%
|
|
Shanxi Medical University
11 publications, 0.44%
|
|
Southern Medical University
11 publications, 0.44%
|
|
Johns Hopkins University
11 publications, 0.44%
|
|
University of Tsukuba
11 publications, 0.44%
|
|
University of California, Irvine
11 publications, 0.44%
|
|
Federal University of Rio Grande do Sul
11 publications, 0.44%
|
|
University of Toronto
11 publications, 0.44%
|
|
Tehran University of Medical Sciences
10 publications, 0.4%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
10 publications, 0.4%
|
|
Tongji University
10 publications, 0.4%
|
|
Wuhan University
10 publications, 0.4%
|
|
Nanchang University
10 publications, 0.4%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
10 publications, 0.4%
|
|
Nantong University
10 publications, 0.4%
|
|
Charles University
10 publications, 0.4%
|
|
Rutgers, The State University of New Jersey
10 publications, 0.4%
|
|
Guangxi Medical University
10 publications, 0.4%
|
|
University of Tokyo
10 publications, 0.4%
|
|
University of Florida
10 publications, 0.4%
|
|
National Institute of Mental Health in Czechia
10 publications, 0.4%
|
|
University of Chinese Academy of Sciences
9 publications, 0.36%
|
|
Beijing University of Chinese Medicine
9 publications, 0.36%
|
|
People's Liberation Army General Hospital and Medical School (301 Hospital)
9 publications, 0.36%
|
|
Hiroshima University
9 publications, 0.36%
|
|
University of Nebraska Medical Center
9 publications, 0.36%
|
|
Semnan University of Medical Sciences
8 publications, 0.32%
|
|
Beijing Normal University
8 publications, 0.32%
|
|
Huazhong University of Science and Technology
8 publications, 0.32%
|
|
Zhongda Hospital Southeast University
8 publications, 0.32%
|
|
Dalian Medical University
8 publications, 0.32%
|
|
Harbin Medical University
8 publications, 0.32%
|
|
Guizhou Medical University
8 publications, 0.32%
|
|
Hangzhou Dianzi University
8 publications, 0.32%
|
|
University of Michigan
8 publications, 0.32%
|
|
Kobe University
8 publications, 0.32%
|
|
University of British Columbia
8 publications, 0.32%
|
|
Virginia Commonwealth University
8 publications, 0.32%
|
|
Japan Society for the Promotion of Science
8 publications, 0.32%
|
|
Universidade Estadual Paulista
8 publications, 0.32%
|
|
Tarbiat Modares University
7 publications, 0.28%
|
|
Kermanshah University of Medical Sciences
7 publications, 0.28%
|
|
Mazandaran University of Medical Sciences
7 publications, 0.28%
|
|
Sichuan University
7 publications, 0.28%
|
|
University of Electronic Science and Technology of China
7 publications, 0.28%
|
|
Sapienza University of Rome
7 publications, 0.28%
|
|
Southwest University
7 publications, 0.28%
|
|
Southwest Medical University
7 publications, 0.28%
|
|
Shandong First Medical University
7 publications, 0.28%
|
|
Columbia University
7 publications, 0.28%
|
|
Henan Provincial People's Hospital
7 publications, 0.28%
|
|
Hokkaido University
7 publications, 0.28%
|
|
Kyushu University
7 publications, 0.28%
|
|
Emory University
7 publications, 0.28%
|
|
University of Calgary
7 publications, 0.28%
|
|
Scientific Research Institute of Neurosciences and Medicine
6 publications, 0.24%
|
|
Mashhad University of Medical Sciences
6 publications, 0.24%
|
|
Shiraz University of Medical Sciences
6 publications, 0.24%
|
|
University of Calcutta
6 publications, 0.24%
|
|
Islamic Azad University, Science and Research Branch
6 publications, 0.24%
|
|
Katholieke Universiteit Leuven
6 publications, 0.24%
|
|
University of New South Wales
6 publications, 0.24%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
6 publications, 0.24%
|
|
Jinan University
6 publications, 0.24%
|
|
Shenzhen University
6 publications, 0.24%
|
|
University College London
6 publications, 0.24%
|
|
Aarhus University
6 publications, 0.24%
|
|
Guangzhou University of Chinese Medicine
6 publications, 0.24%
|
|
Zunyi Medical University
6 publications, 0.24%
|
|
University of Melbourne
6 publications, 0.24%
|
|
Howard University
6 publications, 0.24%
|
|
Yonsei University
6 publications, 0.24%
|
|
Arizona State University
6 publications, 0.24%
|
|
University of California, San Francisco
6 publications, 0.24%
|
|
Show all (70 more) | |
5
10
15
20
25
30
35
40
|
Publishing countries
1000
2000
3000
4000
5000
6000
7000
8000
9000
|
|
USA
|
USA, 8801, 22.83%
USA
8801 publications, 22.83%
|
Japan
|
Japan, 5946, 15.43%
Japan
5946 publications, 15.43%
|
China
|
China, 4351, 11.29%
China
4351 publications, 11.29%
|
Germany
|
Germany, 3067, 7.96%
Germany
3067 publications, 7.96%
|
United Kingdom
|
United Kingdom, 2536, 6.58%
United Kingdom
2536 publications, 6.58%
|
France
|
France, 2115, 5.49%
France
2115 publications, 5.49%
|
Italy
|
Italy, 1794, 4.65%
Italy
1794 publications, 4.65%
|
Canada
|
Canada, 1550, 4.02%
Canada
1550 publications, 4.02%
|
Republic of Korea
|
Republic of Korea, 1151, 2.99%
Republic of Korea
1151 publications, 2.99%
|
Sweden
|
Sweden, 1000, 2.59%
Sweden
1000 publications, 2.59%
|
Spain
|
Spain, 957, 2.48%
Spain
957 publications, 2.48%
|
Australia
|
Australia, 898, 2.33%
Australia
898 publications, 2.33%
|
Brazil
|
Brazil, 730, 1.89%
Brazil
730 publications, 1.89%
|
Netherlands
|
Netherlands, 623, 1.62%
Netherlands
623 publications, 1.62%
|
Switzerland
|
Switzerland, 544, 1.41%
Switzerland
544 publications, 1.41%
|
Finland
|
Finland, 388, 1.01%
Finland
388 publications, 1.01%
|
Mexico
|
Mexico, 334, 0.87%
Mexico
334 publications, 0.87%
|
Belgium
|
Belgium, 327, 0.85%
Belgium
327 publications, 0.85%
|
India
|
India, 321, 0.83%
India
321 publications, 0.83%
|
Hungary
|
Hungary, 307, 0.8%
Hungary
307 publications, 0.8%
|
Austria
|
Austria, 304, 0.79%
Austria
304 publications, 0.79%
|
Iran
|
Iran, 294, 0.76%
Iran
294 publications, 0.76%
|
Russia
|
Russia, 273, 0.71%
Russia
273 publications, 0.71%
|
Israel
|
Israel, 263, 0.68%
Israel
263 publications, 0.68%
|
Denmark
|
Denmark, 246, 0.64%
Denmark
246 publications, 0.64%
|
Poland
|
Poland, 241, 0.63%
Poland
241 publications, 0.63%
|
Turkey
|
Turkey, 241, 0.63%
Turkey
241 publications, 0.63%
|
Czech Republic
|
Czech Republic, 162, 0.42%
Czech Republic
162 publications, 0.42%
|
Greece
|
Greece, 142, 0.37%
Greece
142 publications, 0.37%
|
Norway
|
Norway, 122, 0.32%
Norway
122 publications, 0.32%
|
New Zealand
|
New Zealand, 118, 0.31%
New Zealand
118 publications, 0.31%
|
Singapore
|
Singapore, 118, 0.31%
Singapore
118 publications, 0.31%
|
Argentina
|
Argentina, 115, 0.3%
Argentina
115 publications, 0.3%
|
Chile
|
Chile, 103, 0.27%
Chile
103 publications, 0.27%
|
Ireland
|
Ireland, 99, 0.26%
Ireland
99 publications, 0.26%
|
Portugal
|
Portugal, 88, 0.23%
Portugal
88 publications, 0.23%
|
Thailand
|
Thailand, 64, 0.17%
Thailand
64 publications, 0.17%
|
USSR
|
USSR, 59, 0.15%
USSR
59 publications, 0.15%
|
Czechoslovakia
|
Czechoslovakia, 59, 0.15%
Czechoslovakia
59 publications, 0.15%
|
Estonia
|
Estonia, 54, 0.14%
Estonia
54 publications, 0.14%
|
Ukraine
|
Ukraine, 53, 0.14%
Ukraine
53 publications, 0.14%
|
Croatia
|
Croatia, 45, 0.12%
Croatia
45 publications, 0.12%
|
Slovakia
|
Slovakia, 42, 0.11%
Slovakia
42 publications, 0.11%
|
Bulgaria
|
Bulgaria, 29, 0.08%
Bulgaria
29 publications, 0.08%
|
Venezuela
|
Venezuela, 25, 0.06%
Venezuela
25 publications, 0.06%
|
Uruguay
|
Uruguay, 25, 0.06%
Uruguay
25 publications, 0.06%
|
Colombia
|
Colombia, 24, 0.06%
Colombia
24 publications, 0.06%
|
Morocco
|
Morocco, 23, 0.06%
Morocco
23 publications, 0.06%
|
South Africa
|
South Africa, 23, 0.06%
South Africa
23 publications, 0.06%
|
Slovenia
|
Slovenia, 22, 0.06%
Slovenia
22 publications, 0.06%
|
Serbia
|
Serbia, 19, 0.05%
Serbia
19 publications, 0.05%
|
Lithuania
|
Lithuania, 18, 0.05%
Lithuania
18 publications, 0.05%
|
Malaysia
|
Malaysia, 17, 0.04%
Malaysia
17 publications, 0.04%
|
Romania
|
Romania, 17, 0.04%
Romania
17 publications, 0.04%
|
Saudi Arabia
|
Saudi Arabia, 16, 0.04%
Saudi Arabia
16 publications, 0.04%
|
Egypt
|
Egypt, 15, 0.04%
Egypt
15 publications, 0.04%
|
Cuba
|
Cuba, 15, 0.04%
Cuba
15 publications, 0.04%
|
Luxembourg
|
Luxembourg, 15, 0.04%
Luxembourg
15 publications, 0.04%
|
Nigeria
|
Nigeria, 14, 0.04%
Nigeria
14 publications, 0.04%
|
Cyprus
|
Cyprus, 12, 0.03%
Cyprus
12 publications, 0.03%
|
Armenia
|
Armenia, 11, 0.03%
Armenia
11 publications, 0.03%
|
Georgia
|
Georgia, 11, 0.03%
Georgia
11 publications, 0.03%
|
Yugoslavia
|
Yugoslavia, 9, 0.02%
Yugoslavia
9 publications, 0.02%
|
Belarus
|
Belarus, 7, 0.02%
Belarus
7 publications, 0.02%
|
Iceland
|
Iceland, 7, 0.02%
Iceland
7 publications, 0.02%
|
Qatar
|
Qatar, 7, 0.02%
Qatar
7 publications, 0.02%
|
Kuwait
|
Kuwait, 6, 0.02%
Kuwait
6 publications, 0.02%
|
Lebanon
|
Lebanon, 6, 0.02%
Lebanon
6 publications, 0.02%
|
Puerto Rico
|
Puerto Rico, 6, 0.02%
Puerto Rico
6 publications, 0.02%
|
North Macedonia
|
North Macedonia, 6, 0.02%
North Macedonia
6 publications, 0.02%
|
Pakistan
|
Pakistan, 5, 0.01%
Pakistan
5 publications, 0.01%
|
Peru
|
Peru, 5, 0.01%
Peru
5 publications, 0.01%
|
Trinidad and Tobago
|
Trinidad and Tobago, 4, 0.01%
Trinidad and Tobago
4 publications, 0.01%
|
Tunisia
|
Tunisia, 4, 0.01%
Tunisia
4 publications, 0.01%
|
Bangladesh
|
Bangladesh, 3, 0.01%
Bangladesh
3 publications, 0.01%
|
Vietnam
|
Vietnam, 3, 0.01%
Vietnam
3 publications, 0.01%
|
Latvia
|
Latvia, 3, 0.01%
Latvia
3 publications, 0.01%
|
Malta
|
Malta, 3, 0.01%
Malta
3 publications, 0.01%
|
UAE
|
UAE, 3, 0.01%
UAE
3 publications, 0.01%
|
Faroe Islands
|
Faroe Islands, 3, 0.01%
Faroe Islands
3 publications, 0.01%
|
Sri Lanka
|
Sri Lanka, 3, 0.01%
Sri Lanka
3 publications, 0.01%
|
Bolivia
|
Bolivia, 2, 0.01%
Bolivia
2 publications, 0.01%
|
Guam
|
Guam, 2, 0.01%
Guam
2 publications, 0.01%
|
Indonesia
|
Indonesia, 2, 0.01%
Indonesia
2 publications, 0.01%
|
Jordan
|
Jordan, 2, 0.01%
Jordan
2 publications, 0.01%
|
Costa Rica
|
Costa Rica, 2, 0.01%
Costa Rica
2 publications, 0.01%
|
Uzbekistan
|
Uzbekistan, 2, 0.01%
Uzbekistan
2 publications, 0.01%
|
French Polynesia
|
French Polynesia, 2, 0.01%
French Polynesia
2 publications, 0.01%
|
Montenegro
|
Montenegro, 2, 0.01%
Montenegro
2 publications, 0.01%
|
Kazakhstan
|
Kazakhstan, 1, 0%
Kazakhstan
1 publication, 0%
|
Algeria
|
Algeria, 1, 0%
Algeria
1 publication, 0%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 1, 0%
Bosnia and Herzegovina
1 publication, 0%
|
Guyana
|
Guyana, 1, 0%
Guyana
1 publication, 0%
|
Gambia
|
Gambia, 1, 0%
Gambia
1 publication, 0%
|
Dominica
|
Dominica, 1, 0%
Dominica
1 publication, 0%
|
Zimbabwe
|
Zimbabwe, 1, 0%
Zimbabwe
1 publication, 0%
|
Iraq
|
Iraq, 1, 0%
Iraq
1 publication, 0%
|
Kenya
|
Kenya, 1, 0%
Kenya
1 publication, 0%
|
Côte d'Ivoire
|
Côte d'Ivoire, 1, 0%
Côte d'Ivoire
1 publication, 0%
|
Nepal
|
Nepal, 1, 0%
Nepal
1 publication, 0%
|
Show all (70 more) | |
1000
2000
3000
4000
5000
6000
7000
8000
9000
|
Publishing countries in 5 years
100
200
300
400
500
600
700
800
|
|
China
|
China, 734, 29.31%
China
734 publications, 29.31%
|
USA
|
USA, 392, 15.65%
USA
392 publications, 15.65%
|
Japan
|
Japan, 197, 7.87%
Japan
197 publications, 7.87%
|
Brazil
|
Brazil, 93, 3.71%
Brazil
93 publications, 3.71%
|
Iran
|
Iran, 93, 3.71%
Iran
93 publications, 3.71%
|
Canada
|
Canada, 67, 2.68%
Canada
67 publications, 2.68%
|
India
|
India, 60, 2.4%
India
60 publications, 2.4%
|
Italy
|
Italy, 60, 2.4%
Italy
60 publications, 2.4%
|
United Kingdom
|
United Kingdom, 57, 2.28%
United Kingdom
57 publications, 2.28%
|
Germany
|
Germany, 55, 2.2%
Germany
55 publications, 2.2%
|
Turkey
|
Turkey, 52, 2.08%
Turkey
52 publications, 2.08%
|
Republic of Korea
|
Republic of Korea, 46, 1.84%
Republic of Korea
46 publications, 1.84%
|
Mexico
|
Mexico, 36, 1.44%
Mexico
36 publications, 1.44%
|
France
|
France, 33, 1.32%
France
33 publications, 1.32%
|
Australia
|
Australia, 33, 1.32%
Australia
33 publications, 1.32%
|
Russia
|
Russia, 21, 0.84%
Russia
21 publications, 0.84%
|
Spain
|
Spain, 21, 0.84%
Spain
21 publications, 0.84%
|
Netherlands
|
Netherlands, 20, 0.8%
Netherlands
20 publications, 0.8%
|
Czech Republic
|
Czech Republic, 18, 0.72%
Czech Republic
18 publications, 0.72%
|
Belgium
|
Belgium, 11, 0.44%
Belgium
11 publications, 0.44%
|
Denmark
|
Denmark, 11, 0.44%
Denmark
11 publications, 0.44%
|
Poland
|
Poland, 11, 0.44%
Poland
11 publications, 0.44%
|
Portugal
|
Portugal, 9, 0.36%
Portugal
9 publications, 0.36%
|
Switzerland
|
Switzerland, 9, 0.36%
Switzerland
9 publications, 0.36%
|
Thailand
|
Thailand, 8, 0.32%
Thailand
8 publications, 0.32%
|
Finland
|
Finland, 8, 0.32%
Finland
8 publications, 0.32%
|
Argentina
|
Argentina, 7, 0.28%
Argentina
7 publications, 0.28%
|
Israel
|
Israel, 7, 0.28%
Israel
7 publications, 0.28%
|
Hungary
|
Hungary, 6, 0.24%
Hungary
6 publications, 0.24%
|
Greece
|
Greece, 6, 0.24%
Greece
6 publications, 0.24%
|
Ireland
|
Ireland, 6, 0.24%
Ireland
6 publications, 0.24%
|
Estonia
|
Estonia, 5, 0.2%
Estonia
5 publications, 0.2%
|
Georgia
|
Georgia, 5, 0.2%
Georgia
5 publications, 0.2%
|
Egypt
|
Egypt, 5, 0.2%
Egypt
5 publications, 0.2%
|
Sweden
|
Sweden, 5, 0.2%
Sweden
5 publications, 0.2%
|
Austria
|
Austria, 4, 0.16%
Austria
4 publications, 0.16%
|
Malaysia
|
Malaysia, 4, 0.16%
Malaysia
4 publications, 0.16%
|
Nigeria
|
Nigeria, 4, 0.16%
Nigeria
4 publications, 0.16%
|
Saudi Arabia
|
Saudi Arabia, 4, 0.16%
Saudi Arabia
4 publications, 0.16%
|
Slovakia
|
Slovakia, 4, 0.16%
Slovakia
4 publications, 0.16%
|
Norway
|
Norway, 3, 0.12%
Norway
3 publications, 0.12%
|
Ukraine
|
Ukraine, 2, 0.08%
Ukraine
2 publications, 0.08%
|
Iceland
|
Iceland, 2, 0.08%
Iceland
2 publications, 0.08%
|
Qatar
|
Qatar, 2, 0.08%
Qatar
2 publications, 0.08%
|
Cyprus
|
Cyprus, 2, 0.08%
Cyprus
2 publications, 0.08%
|
Morocco
|
Morocco, 2, 0.08%
Morocco
2 publications, 0.08%
|
New Zealand
|
New Zealand, 2, 0.08%
New Zealand
2 publications, 0.08%
|
Serbia
|
Serbia, 2, 0.08%
Serbia
2 publications, 0.08%
|
Croatia
|
Croatia, 2, 0.08%
Croatia
2 publications, 0.08%
|
South Africa
|
South Africa, 2, 0.08%
South Africa
2 publications, 0.08%
|
Algeria
|
Algeria, 1, 0.04%
Algeria
1 publication, 0.04%
|
Bangladesh
|
Bangladesh, 1, 0.04%
Bangladesh
1 publication, 0.04%
|
Indonesia
|
Indonesia, 1, 0.04%
Indonesia
1 publication, 0.04%
|
Iraq
|
Iraq, 1, 0.04%
Iraq
1 publication, 0.04%
|
Colombia
|
Colombia, 1, 0.04%
Colombia
1 publication, 0.04%
|
Kuwait
|
Kuwait, 1, 0.04%
Kuwait
1 publication, 0.04%
|
Lithuania
|
Lithuania, 1, 0.04%
Lithuania
1 publication, 0.04%
|
Luxembourg
|
Luxembourg, 1, 0.04%
Luxembourg
1 publication, 0.04%
|
Puerto Rico
|
Puerto Rico, 1, 0.04%
Puerto Rico
1 publication, 0.04%
|
Romania
|
Romania, 1, 0.04%
Romania
1 publication, 0.04%
|
Singapore
|
Singapore, 1, 0.04%
Singapore
1 publication, 0.04%
|
Syria
|
Syria, 1, 0.04%
Syria
1 publication, 0.04%
|
Tunisia
|
Tunisia, 1, 0.04%
Tunisia
1 publication, 0.04%
|
Uganda
|
Uganda, 1, 0.04%
Uganda
1 publication, 0.04%
|
Uruguay
|
Uruguay, 1, 0.04%
Uruguay
1 publication, 0.04%
|
Faroe Islands
|
Faroe Islands, 1, 0.04%
Faroe Islands
1 publication, 0.04%
|
Chile
|
Chile, 1, 0.04%
Chile
1 publication, 0.04%
|
Show all (37 more) | |
100
200
300
400
500
600
700
800
|
5 profile journal articles
Glazove Margarita
DSc

I. M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences
68 publications,
726 citations
h-index: 12
4 profile journal articles
Sayenko Dimitry

Institute for Biomedical Problems of the Russian Academy of Sciences
89 publications,
3 485 citations
h-index: 29
4 profile journal articles
Gulyaeva Natalia

Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences
310 publications,
2 991 citations
h-index: 27
3 profile journal articles
Kolesnikov Stasnislav
DSc in Biological/biomedical sciences, Professor, Associate member of the Russian Academy of Sciences

Institute of Cell Biophysics of the Russian Academy of Sciences
77 publications,
2 146 citations
h-index: 20
3 profile journal articles
Malva João

University of Coimbra
148 publications,
6 385 citations
h-index: 49
3 profile journal articles
Pamplona Fabrício
45 publications,
2 185 citations
h-index: 25
3 profile journal articles
Kuznetsova Polina
🤝
PhD in Health sciences

Research Center of Neurology
290 publications,
2 255 citations
h-index: 25
Research interests
Atherosclerosis
Cerebrovascular diseases
Hematology
Myeloproliferative diseases
Neurology
2 profile journal articles
Kitchigina Valentina
DSc in Biological/biomedical sciences, Professor

Institute of Theoretical and Experimental Biophysics of the Russian Academy of Sciences
54 publications,
600 citations
h-index: 15
2 profile journal articles
E. Monica
32 publications,
500 citations
h-index: 14
2 profile journal articles
Vocadlo David

Simon Fraser University
206 publications,
13 602 citations
h-index: 59
2 profile journal articles
Inagaki Masumi

National Center of Neurology and Psychiatry
129 publications,
2 130 citations
h-index: 25
2 profile journal articles
CAROZZO Simone
37 publications,
360 citations
h-index: 11
Research interests
Clinical Neurophysiology
Electrophysiology
Neurophysiology
Neuroscience
1 profile journal article
Yavuz Melis
12 publications,
39 citations
h-index: 3