Koichi Sugamura

4.2k total citations · 1 hit paper
48 papers, 3.0k citations indexed

About

Koichi Sugamura is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Koichi Sugamura has authored 48 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 14 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Koichi Sugamura's work include Cardiovascular Health and Disease Prevention (11 papers), Blood Pressure and Hypertension Studies (10 papers) and Cardiovascular Disease and Adiposity (7 papers). Koichi Sugamura is often cited by papers focused on Cardiovascular Health and Disease Prevention (11 papers), Blood Pressure and Hypertension Studies (10 papers) and Cardiovascular Disease and Adiposity (7 papers). Koichi Sugamura collaborates with scholars based in Japan and United States. Koichi Sugamura's co-authors include John F. Keaney, Seigo Sugiyama, Hisao Ogawa, Toshimitsu Nozaki, Yasushi Matsuzawa, Hitoshi Sumida, Koichi Kaikita, Junichi Matsubara, Keisuke Ohba and Kunihiko Matsui and has published in prestigious journals such as Circulation, Nature Medicine and Journal of the American College of Cardiology.

In The Last Decade

Koichi Sugamura

47 papers receiving 2.9k citations

Hit Papers

Reactive oxygen species in cardiovascular disease 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

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.

  1. Reactive oxygen species in cardiovascular disease
    2011 626 citations Koichi Sugamura, John F. Keaney Free Radical Biology and Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koichi Sugamura Japan 25 1.3k 758 564 431 386 48 3.0k
Shusuke Yagi Japan 32 1.3k 1.0× 1.0k 1.3× 706 1.3× 668 1.5× 392 1.0× 175 3.6k
Dierk Endemann Germany 21 1.2k 0.9× 782 1.0× 388 0.7× 646 1.5× 326 0.8× 46 2.9k
Carmine Savoia Italy 33 1.6k 1.2× 874 1.2× 386 0.7× 862 2.0× 300 0.8× 79 3.5k
Efstathios K. Iliodromitis Greece 40 2.0k 1.5× 1.1k 1.4× 779 1.4× 453 1.1× 217 0.6× 163 5.1k
Daniele Versari Italy 32 1.3k 1.0× 691 0.9× 566 1.0× 865 2.0× 339 0.9× 59 3.5k
Anton J.M. Roks Netherlands 29 1.5k 1.1× 988 1.3× 356 0.6× 836 1.9× 217 0.6× 84 3.0k
Tamás Radovits Hungary 31 1.2k 0.9× 835 1.1× 780 1.4× 354 0.8× 197 0.5× 194 3.2k
Plinio Cirillo Italy 34 1.5k 1.1× 790 1.0× 831 1.5× 175 0.4× 387 1.0× 162 3.6k
Takeshi Soeki Japan 36 2.1k 1.6× 885 1.2× 960 1.7× 602 1.4× 446 1.2× 178 4.1k
Dingliang Zhu China 33 1.3k 0.9× 715 0.9× 406 0.7× 451 1.0× 238 0.6× 119 2.7k

Countries citing papers authored by Koichi Sugamura

Since Specialization
Citations

This map shows the geographic impact of Koichi Sugamura'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 Koichi Sugamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Sugamura more than expected).

Fields of papers citing papers by Koichi Sugamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichi Sugamura. 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 Koichi Sugamura. The network helps show where Koichi Sugamura may publish in the future.

Co-authorship network of co-authors of Koichi Sugamura

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Sugamura. A scholar is included among the top collaborators of Koichi Sugamura 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 Koichi Sugamura. Koichi Sugamura 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.
Tokitsu, Takanori, Eiichiro Yamamoto, Yoshihiro Hirata, et al.. (2016). Clinical Significance of Pulse Pressure in Patients with Heart Failure with Preserved Left Ventricular Ejection Fraction. European Journal of Heart Failure. 18(11). 1353–1361. 27 indexed citations
2.
3.
Kurokawa, Hirofumi, Seigo Sugiyama, Toshimitsu Nozaki, et al.. (2015). Telmisartan enhances mitochondrial activity and alters cellular functions in human coronary artery endothelial cells via AMP-activated protein kinase pathway. Atherosclerosis. 239(2). 375–385. 19 indexed citations
4.
Matsubara, Junichi, Seigo Sugiyama, Koichi Sugamura, et al.. (2012). A Dipeptidyl Peptidase-4 Inhibitor, Des-Fluoro-Sitagliptin, Improves Endothelial Function and Reduces Atherosclerotic Lesion Formation in Apolipoprotein E–Deficient Mice. Journal of the American College of Cardiology. 59(3). 265–276. 231 indexed citations
5.
Matsubara, Junichi, Seigo Sugiyama, Toshimitsu Nozaki, et al.. (2011). Pentraxin 3 Is a New Inflammatory Marker Correlated With Left Ventricular Diastolic Dysfunction and Heart Failure With Normal Ejection Fraction. Journal of the American College of Cardiology. 57(7). 861–869. 147 indexed citations
6.
Sugamura, Koichi & John F. Keaney. (2011). Reactive oxygen species in cardiovascular disease. Free Radical Biology and Medicine. 51(5). 978–992. 626 indexed citations breakdown →
7.
Konishi, Masaaki, Seigo Sugiyama, Koichi Sugamura, et al.. (2011). Total Coronary Artery Plaque Burden Measured by Cardiac Computed Tomography is Associated with Metabolic Syndrome. Journal of Atherosclerosis and Thrombosis. 18(11). 939–945. 2 indexed citations
8.
Nozaki, Toshimitsu, Seigo Sugiyama, Koichi Sugamura, et al.. (2010). Prognostic Value of Endothelial Microparticles in Patients with Heart Failure. European Journal of Heart Failure. 12(11). 1223–1228. 97 indexed citations
9.
Matsubara, Junichi, Seigo Sugiyama, Koichi Sugamura, et al.. (2010). Abstract 14739: Dipeptidyl Peptidase-4 Inhibitor, Des-Fluoro-Sitagliptin (DFS), Improved Endothelial Function and Reduced Atherosclerotic Lesion Formation in Apolipoprotein E-deficient Mice. Circulation. 122. 1 indexed citations
10.
Konishi, Masaaki, Seigo Sugiyama, Yuichiro Sato, et al.. (2010). Pericardial fat inflammation correlates with coronary artery disease. Atherosclerosis. 213(2). 649–655. 88 indexed citations
11.
Sugamura, Koichi, Seigo Sugiyama, Yukio Fujiwara, et al.. (2010). Cannabinoid 1 Receptor Blockade Reduces Atherosclerosis with Enhances Reverse Cholesterol Transport. Journal of Atherosclerosis and Thrombosis. 17(2). 141–147. 26 indexed citations
12.
Matsuzawa, Yasushi, Seigo Sugiyama, Koichi Sugamura, et al.. (2010). Digital Assessment of Endothelial Function and Ischemic Heart Disease in Women. Journal of the American College of Cardiology. 55(16). 1688–1696. 173 indexed citations
13.
Nozaki, Toshimitsu, Seigo Sugiyama, Hidenobu Koga, et al.. (2009). Significance of a Multiple Biomarkers Strategy Including Endothelial Dysfunction to Improve Risk Stratification for Cardiovascular Events in Patients at High Risk for Coronary Heart Disease. Journal of the American College of Cardiology. 54(7). 601–608. 221 indexed citations
14.
Konishi, Masaaki, Seigo Sugiyama, Koichi Sugamura, et al.. (2009). Association of pericardial fat accumulation rather than abdominal obesity with coronary atherosclerotic plaque formation in patients with suspected coronary artery disease. Atherosclerosis. 209(2). 573–578. 101 indexed citations
15.
Soejima, Hirofumi, Hideki Nakayama, Takashi Fukunaga, et al.. (2009). Significant association between score of periodontal disease and coronary artery disease. Heart and Vessels. 24(2). 103–107. 16 indexed citations
16.
Nozaki, Toshimitsu, Seigo Sugiyama, Koichi Sugamura, & Hisao Ogawa. (2009). Abstract 5043: Telmisartan Enhances Mitochondrial Biogenesis and Protects From Endothelial Cell Damage Through Peroxisome Proliferator-Activated Receptor- γ Independent Pathways. Circulation. 120(suppl_18). 1 indexed citations
17.
Miyata, Keishi, Masafumi Nakayama, Seiji Hokimoto, et al.. (2007). Elevated mature macrophage expression of human ABHD2 gene in vulnerable plaque. Biochemical and Biophysical Research Communications. 365(2). 207–213. 23 indexed citations
18.
Fukunaga, Takashi, Hirofumi Soejima, Atsushi Irie, et al.. (2007). Relation Between CD4+ T-Cell Activation and Severity of Chronic Heart Failure Secondary to Ischemic or Idiopathic Dilated Cardiomyopathy. The American Journal of Cardiology. 100(3). 483–488. 43 indexed citations
19.
Sugiyama, Seigo, Hironobu Fukushima, Kiyotaka Kugiyama, et al.. (2006). Pravastatin improved glucose metabolism associated with increasing plasma adiponectin in patients with impaired glucose tolerance and coronary artery disease. Atherosclerosis. 194(2). e43–e51. 72 indexed citations
20.
Hemmi, Hiromichi, Takashi Nakamura, YASUYUKI SHIMIZU, & Koichi Sugamura. (1989). Identification of Components of Differentiation-Inducing Activity of Human T-Cell Lymphoma Cells by Induction of Differentiation in Human Myeloid Leukemia Cells. JNCI Journal of the National Cancer Institute. 81(12). 952–957. 6 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.

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