Tetsuya Suwa

900 total citations
55 papers, 662 citations indexed

About

Tetsuya Suwa is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Tetsuya Suwa has authored 55 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Tetsuya Suwa's work include Hormonal Regulation and Hypertension (12 papers), Adrenal Hormones and Disorders (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). Tetsuya Suwa is often cited by papers focused on Hormonal Regulation and Hypertension (12 papers), Adrenal Hormones and Disorders (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). Tetsuya Suwa collaborates with scholars based in Japan, United States and France. Tetsuya Suwa's co-authors include Peter J. Hornsby, Hiroyuki Morita, Tomoatsu Mune, Jun Takeda, Keigo Yasuda, Jerry W. Shay, Woodring E. Wright, Yukio Horikawa, Judith Campisi and Debdutta Bandyopadhyay and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Gastroenterology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Tetsuya Suwa

51 papers receiving 649 citations

Peers

Tetsuya Suwa
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 287
  • Molecular Biology 186
  • Surgery 158
  • Physiology 132
  • Genetics 95
Balachandar Nedumaran South Korea
Jiaqing Shao China
Weihui Yu China
Zuheng Ma Sweden
Nadia Cobo‐Vuilleumier Spain
Rexhep Rexhepaj Germany
Johanna G. Miquet Argentina
Marta Moya Spain
Oliver Kluth Germany
Zoi Michailidou United Kingdom
Balachandar Nedumaran South Korea View profile →
Citations per field, relative to Tetsuya Suwa
Tetsuya Suwa · 1×
Citations per year, relative to Tetsuya Suwa
Tetsuya Suwa · 1×

Countries citing papers authored by Tetsuya Suwa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Suwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Suwa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Suwa. A scholar is included among the top collaborators of Tetsuya Suwa 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 Tetsuya Suwa. Tetsuya Suwa 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
# Work Indexed citations
1 3
2 2
3 2
4 10
5 5
6 6
7 10
8 0
9 7
10 10
11 3
12 27
13 44
14 25
15 23
16 29
17 15
18 9
19 4
20 1

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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