Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis
20071.8k citationsMitsuhiro Yokoyama, Hideki Origasa et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Mitsuhiro Yokoyama
Since
Specialization
Citations
This map shows the geographic impact of Mitsuhiro Yokoyama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mitsuhiro Yokoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Yokoyama more than expected).
Fields of papers citing papers by Mitsuhiro Yokoyama
This network shows the impact of papers produced by Mitsuhiro Yokoyama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mitsuhiro Yokoyama. The network helps show where Mitsuhiro Yokoyama may publish in the future.
Co-authorship network of co-authors of Mitsuhiro Yokoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Yokoyama.
A scholar is included among the top collaborators of Mitsuhiro Yokoyama based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Mitsuhiro Yokoyama. Mitsuhiro Yokoyama is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Matsuzaki, Masunori, Mitsuhiro Yokoyama, Yasushi Saitō, et al.. (2009). Incremental Effects of Eicosapentaenoic Acid on Cardiovascular Events in Statin-Treated Patients With Coronary Artery Disease Secondary Prevention Analysis From JELIS. Japanese Circulation Journal-english Edition. 73(7). 1283–1290.30 indexed citations
Adiarto, Suko, Noriaki Emoto, Naoko Iwasa, et al.. (2007). PE-209 VEGF Upregulation In Mice Lacking Endothelin-1 In Vascular Endothelial Cell Compensates the Lack of Heart Vascularization on the Expense of Inflammation(Cardiac hypertrophy, basic/clinical-2, The 71st Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 71. 377.1 indexed citations
Shite, Junya, Toshiro Shinke, Hideyuki Takaoka, et al.. (2005). Effects of Human Atrial Natriuretic Peptide on Myocardial Performance and Energetics in Heart Failure due to Previous Myocardial Infarction(Cardiac Function, Basic/Clinical 4 (M), The 69th Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 69. 446.1 indexed citations
7.
Otsui, Kazunori, Nobutaka Inoue, Seiichi Kobayashi, et al.. (2005). Enhanced Expression of TLR4 in Smooth Muscle Cells in Human Atherosclerotic Coronary Arteries : Role of Inflammatory Cytokines (Infection/Inflammation/Immunity 4 (H), The 69th Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 69. 639.1 indexed citations
Sakoda, Tsuyoshi, et al.. (2002). Cardiac myocytes are recruited by bone marrow-derived cells in the intact murine heart. Japanese Circulation Journal-english Edition. 66. 188.1 indexed citations
10.
Iwai, Kenji, Ken‐ichi Hirata, Shigeto Takeuchi, et al.. (2002). BTG1, an anti-proliferative gene, regulates endothelial cell growth and differentiation during angiogenesis. Japanese Circulation Journal-english Edition. 66. 407.1 indexed citations
Tsuchiya, Takaaki, et al.. (1999). Secondary Pulmonary Alveolar proteinosis in a Patient Engaged in building Demolition Work. 37(3). 219–223.3 indexed citations
15.
Shiotani, Hideyuki, Hiroshi Ueno, Satoko Inoue, Yoshiyuki Yokota, & Mitsuhiro Yokoyama. (1998). Diabetes Mellitus and Cardiomyopathy:Association With Mutation in the Mitochondrial tRNA Leu(UUR) gene. Circulation. 62(4). 309–310.1 indexed citations
16.
Ishikawa, Yuichi, et al.. (1996). Relation of Aortic Distensibility and Pulse Wave Velocity to the Degree of Coronary Artery Stenosis. Kobe University Repository Kernel (Kobe University). 11. 81–87.1 indexed citations
Shimizu, Hiroki, et al.. (1994). QT dispersion in Patients with Polymorphic Ventricular Tachycardia. Japanese Circulation Journal-english Edition. 58(7). 596–597.3 indexed citations
19.
Sakamoto, Susumu, Mitsuhiro Yokoyama, Seinosuke Kawashima, et al.. (1983). DYNAMIC CHANGES IN THE SEVERITY OF CORONARY STENOSIS INDUCED BY LARGE AND SMALL CORONARY VASOMOTION IN THE CANINE HEART : PROCEEDINGS OF THE 47th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY : Coronary Circulation. Japanese Circulation Journal-english Edition. 47(8). 988–989.
20.
Maekawa, Kishio, et al.. (1976). EFFECTS OF CORONARY VASODILATORS ON THE LARGE CONDUCTANCE ARTERY AS COMPARED WITH THOSE ON THE SMALL RESISTIVE ARTERY AND ARTERIOLES : Vth Auditorium : PROCEEDINGS OF THE 40TH ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY. Japanese Circulation Journal-english Edition. 40(5). 472–473.3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.