Keisuke Kosugi

2.2k citations
37 papers · 1.4k · h-index 20

Impact in

Papers in

Keisuke Kosugi

37 papers receiving 1.4k citations

Peers

Keisuke Kosugi
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 685
  • Clinical Biochemistry 266
  • Cardiology and Cardiovascular Medicine 436
  • Biochemistry 72
  • Nephrology 48
Replace P. Fumelli with:
P. Fumelli Italy
Saula de Kreutzenberg Italy
James M. Tauras United States
Tomio Onuma Japan
Mitchel Tate Australia
Mark Hartmann Germany
Hisao Wakasaki Japan
B. J. McDermott United Kingdom
Wenhui Peng China
Claudia Blasetti Fantauzzi Italy
Keisuke Kosugi relative to P. Fumelli Italy P. Fumelli's profile →
Citations per field
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P. Fumelli · 1×
Citations per year

Countries citing papers authored by Keisuke Kosugi

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Kosugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keisuke Kosugi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keisuke Kosugi Line = papers co-authored together Keisuke Kosugi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 2005129
3 2002110
4 2015109
5 2016105
6 1987101
7 200867
8 200062
9 201249
10 200445
11 201342
12 200742
13 198236
14 201335
15 201429
16 200628
17 201226
18 201523
19 201321
20 201120

About Keisuke Kosugi

Keisuke Kosugi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cardiovascular Health and Disease Prevention (11 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Diabetes Treatment and Management (7 papers), Cardiovascular Function and Risk Factors (6 papers), Diabetes Management and Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (685 citations), Clinical Biochemistry (266 citations), Cardiology and Cardiovascular Medicine (436 citations), Biochemistry (72 citations) and Nephrology (48 citations). Keisuke Kosugi has collaborated with scholars based in Japan and United States. Frequent co-authors include Naoto Katakami, Munehide Matsuhisa, Yoshimitsu Yamasaki, Kenya Sakamoto, Yutaka Umayahara, Hideaki Kaneto, Masatsugu Hori, Taka‐aki Matsuoka, Hideaki Kaneto and Iichiro Shimomura. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice, Atherosclerosis, The Journal of Biochemistry and Journal of Atherosclerosis and Thrombosis.

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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