Kinsuke Tsuda

83 papers receiving 2.1k citations

Peers

Kinsuke Tsuda
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 820
  • Endocrine and Autonomic Systems 110
  • Physiology 403
  • Surgery 664
  • Rehabilitation 69
Replace Koichiro Yasuda with:
Koichiro Yasuda Japan
Erik Frandsen Denmark
Martina Düfer Germany
A. J. Garber United States
Mayumi Nagashimada Japan
C. E. Mondon United States
Angelo Cignarelli Italy
Tomoya Mita Japan
Felice D’Onofrio Italy
Kyle D. Copps United States
Kinsuke Tsuda relative to Koichiro Yasuda Japan Koichiro Yasuda's profile →
Citations per field
00.5×1.7×
Koichiro Yasuda · 1×
Citations per year

Countries citing papers authored by Kinsuke Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Kinsuke Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kinsuke Tsuda, 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 Kinsuke Tsuda Line = papers co-authored together Kinsuke Tsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999378
2 200283
3 200076
4 200373
5 200259
6 200558
7 199653
8 201249
9 199347
10 200243
11 200342
12 199942
13 198039
14 200838
15 201236
16 200635
17 199834
18 198132
19 199932
20 200932

About Kinsuke Tsuda

Kinsuke Tsuda is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Epidemiology, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (30 papers), Metabolism, Diabetes, and Cancer (16 papers), Adipose Tissue and Metabolism (15 papers), Diabetes Treatment and Management (15 papers), Neuroendocrine Tumor Research Advances (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Diet, Metabolism, and Disease (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (820 citations), Endocrine and Autonomic Systems (110 citations), Physiology (403 citations), Surgery (664 citations) and Rehabilitation (69 citations). Kinsuke Tsuda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yutaka Seino, Koichiro Yasuda, Tetsuya Adachi, Yuichiro Yamada, Akihiko Ishihara, Yu Ihara, Tetsuro Matsunaga, Akira Kubota, Ning Gu and Nobuhiro Ban. Their work appears in journals such as Biochemical and Biophysical Research Communications, Diabetes, Clinical and Experimental Pharmacology and Physiology, Metabolism and Life Sciences.

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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