Seigo Sugiyama

15.0k total citations · 1 hit paper
227 papers, 11.0k citations indexed

About

Seigo Sugiyama is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Seigo Sugiyama has authored 227 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cardiology and Cardiovascular Medicine, 74 papers in Surgery and 42 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Seigo Sugiyama's work include Cardiac Imaging and Diagnostics (27 papers), Lipoproteins and Cardiovascular Health (27 papers) and Cardiovascular Disease and Adiposity (22 papers). Seigo Sugiyama is often cited by papers focused on Cardiac Imaging and Diagnostics (27 papers), Lipoproteins and Cardiovascular Health (27 papers) and Cardiovascular Disease and Adiposity (22 papers). Seigo Sugiyama collaborates with scholars based in Japan, United States and Greece. Seigo Sugiyama's co-authors include Hisao Ogawa, Hirofumi Yasue, Peter Libby, Kiyotaka Kugiyama, Michihiro Yoshimura, Masanori Aikawa, Kiyotaka Kugiyama, Tomohiro Sakamoto, Koichi Kaikita and Hitoshi Sumida and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Seigo Sugiyama

219 papers receiving 10.7k citations

Hit Papers

Macrophage Myeloperoxidase Regulation by Granulocyte Macr... 2001 2026 2009 2017 2001 100 200 300 400 500
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. Macrophage Myeloperoxidase Regulation by Granulocyte Macrophage Colony-Stimulating Factor in Human Atherosclerosis and Implications in Acute Coronary Syndromes
    2001 585 citations Seigo Sugiyama et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seigo Sugiyama Japan 55 4.4k 3.0k 2.4k 1.9k 1.8k 227 11.0k
Jitsuo Higaki Japan 62 5.4k 1.2× 2.5k 0.8× 3.4k 1.4× 2.6k 1.3× 958 0.5× 422 12.7k
Paul Holvoet Belgium 62 2.2k 0.5× 2.7k 0.9× 3.5k 1.4× 1.7k 0.9× 2.2k 1.2× 174 12.0k
Leong L. Ng United Kingdom 59 6.8k 1.5× 1.6k 0.5× 2.9k 1.2× 1.3k 0.7× 935 0.5× 354 12.2k
Kiyotaka Kugiyama Japan 53 6.5k 1.5× 2.6k 0.9× 1.6k 0.6× 2.0k 1.1× 772 0.4× 180 11.0k
Neal L. Weintraub United States 60 3.0k 0.7× 2.0k 0.6× 3.7k 1.5× 1.4k 0.8× 1.3k 0.7× 268 11.9k
Michihiro Yoshimura Japan 57 8.3k 1.9× 2.6k 0.9× 2.4k 1.0× 2.2k 1.2× 772 0.4× 390 14.0k
John R. Guyton United States 53 2.5k 0.6× 6.2k 2.1× 1.7k 0.7× 3.3k 1.7× 1.5k 0.8× 166 12.0k
Joseph P. McConnell United States 42 2.0k 0.5× 3.0k 1.0× 1.4k 0.6× 1.4k 0.8× 954 0.5× 109 7.9k
Marc S. Penn United States 52 2.9k 0.7× 3.3k 1.1× 3.0k 1.2× 593 0.3× 1.7k 1.0× 186 10.6k
Marta Ruiz‐Ortega Spain 70 3.8k 0.9× 2.0k 0.7× 6.9k 2.9× 2.2k 1.1× 2.7k 1.5× 265 18.2k

Countries citing papers authored by Seigo Sugiyama

Since Specialization
Citations

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

Fields of papers citing papers by Seigo Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seigo Sugiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Seigo Sugiyama. A scholar is included among the top collaborators of Seigo Sugiyama 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 Seigo Sugiyama. Seigo Sugiyama 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.
Kurinami, Noboru, Seigo Sugiyama, Akira Yoshida, et al.. (2020). Characteristics of nephropathy in severely obese Japanese patients complicated with type 2 diabetes mellitus: a cross-sectional cohort study. Endocrine. 70(3). 509–516.
2.
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
3.
4.
Soejima, Hirofumi, Hisao Ogawa, Takeshi Morimoto, et al.. (2013). Aspirin possibly reduces cerebrovascular events in type 2 diabetic patients with higher C-reactive protein level: Subanalysis from the JPAD Trial. Journal of Cardiology. 62(3). 165–170. 11 indexed citations
5.
Sugiyama, Seigo, et al.. (2013). Abstract 12400: Significant Association between Decreased Plasma Levels of Brain-derived Neurotrophic Factor in Heart Failure. Circulation. 128. 1 indexed citations
6.
Fujisue, Koichiro, Seigo Sugiyama, Hisayo Yasuda, et al.. (2013). Abstract 12311: Impairment of Peripheral Endothelial Function in Patients With Aortic Valve Stenosis in the Aging Population. Circulation.
7.
Akiyama, Eiichi, Seigo Sugiyama, Toshimitsu Nozaki, et al.. (2012). Abstract 19134: Higher Red Blood Cell Distribution Width Predicts Cardiovascular Events in Patients with Heart Failure with Normal Left Ventricular Ejection Fraction. Circulation. 126(suppl_21). 1 indexed citations
8.
Matsuzawa, Yasushi, Seigo Sugiyama, Eiichi Akiyama, et al.. (2012). INCREMENTAL SIGNIFICANCE OF ENDOTHELIAL FUNCTION ASSESSED BY REACTIVE HYPEREMIA PERIPHERAL ARTERIAL TONOMETRY FOR PREDICTING CARDIOVASCULAR EVENTS IN STABLE PATIENTS WITH CORONARY ARTERY DISEASE. Journal of the American College of Cardiology. 59(13). E1493–E1493. 2 indexed citations
9.
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
10.
Horio, Eiji, Koichi Kaikita, Keishi Miyata, et al.. (2011). Abstract 12277: Angiopoietin-Like Protein2 (angptl2)-Induced Vascular Inflammation Causes the Progression of Endothelial Dysfunction and Atherosclerosis. Circulation. 1 indexed citations
11.
Yamamoto, Koichiro, et al.. (2011). 急性冠動脈症候群(ACS)患者の臨床転帰に及ぼすプロトンポンプ阻害剤(PPI)及びCYP2C19多型性. Circulation. 75. 1–2. 2 indexed citations
12.
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
13.
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
14.
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
15.
Yamamoto, Koichiro, Seiji Hokimoto, Kazunori Morita, et al.. (2010). Impact of CYP2C19 polymorphism on residual platelet reactivity in patients with coronary heart disease during antiplatelet therapy. Journal of Cardiology. 57(2). 194–201. 79 indexed citations
16.
Morimoto, Takeshi, Hisao Ogawa, Masafumi Nakayama, et al.. (2009). Abstract 1584: Epidemiology of Hemorrhagic and Gastrointestinal Adverse Effects of Low-dose Aspirin for Primary Prevention of Atherosclerotic Events in Type 2 Diabetic Patients: Insights From JPAD Trial. Circulation. 120. 1 indexed citations
17.
Horibata, Yoko, Seigo Sugiyama, Keisuke Watanabe, et al.. (2005). Essential Role of Definitive LDL-Cholesterol Reduction by Statin, but not Pleiotropic Effects, on Achievement of Plaque Stabilization (Lipid Disorders 5 (H), The 69th Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 69. 625.
18.
Hokamaki, Jun, Hiroaki Kawano, Hirofumi Soejima, et al.. (2004). Plasma thioredoxin levels in patients with unstable angina. International Journal of Cardiology. 99(2). 225–231. 32 indexed citations
19.
Honda, Osamu, Seigo Sugiyama, Kiyotaka Kugiyama, et al.. (2004). Echolucent carotid plaques predict future coronary events in patients with coronary artery disease. Journal of the American College of Cardiology. 43(7). 1177–1184. 157 indexed citations
20.
Kugiyama, Kiyotaka, Yasutaka Ota, Seigo Sugiyama, et al.. (2000). Prognostic value of plasma levels of secretory type II phospholipase A2 in patients with unstable angina pectoris. The American Journal of Cardiology. 86(7). 718–722. 68 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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