Tomoyuki Katsuno

902 total citations
40 papers, 554 citations indexed

About

Tomoyuki Katsuno is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Tomoyuki Katsuno has authored 40 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Tomoyuki Katsuno's work include Diabetes Management and Research (22 papers), Diabetes Treatment and Management (21 papers) and Metabolism, Diabetes, and Cancer (12 papers). Tomoyuki Katsuno is often cited by papers focused on Diabetes Management and Research (22 papers), Diabetes Treatment and Management (21 papers) and Metabolism, Diabetes, and Cancer (12 papers). Tomoyuki Katsuno collaborates with scholars based in Japan, Australia and France. Tomoyuki Katsuno's co-authors include Mitsuyoshi Namba, Jun‐ichiro Miyagawa, Yoshiki Kusunoki, Masayuki Miuchi, Toshihiro Matsuo, Tomoya Hamaguchi, Fumihiro Ochi, Hidenori Koyama, Takafumi Akagami and Hiroki Ikeda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Metabolism and Diabetic Medicine.

In The Last Decade

Tomoyuki Katsuno

39 papers receiving 538 citations

Peers

Tomoyuki Katsuno
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 355
  • Molecular Biology 155
  • Surgery 136
  • Nephrology 71
  • Physiology 69
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Shaoda Lin China
Yidan Pang China
Samantha Koo-McCoy United States
Sang Ah Lee South Korea
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Marc Gregory Yu Philippines
Beatrice Lupsa United States
Н. Г. Мокрышева Russia
Maria Elizabeth Rossi da Silva Brazil
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Citations per field, relative to Tomoyuki Katsuno
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Citations per year, relative to Tomoyuki Katsuno
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Countries citing papers authored by Tomoyuki Katsuno

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Katsuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Katsuno

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Katsuno. A scholar is included among the top collaborators of Tomoyuki Katsuno 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 Tomoyuki Katsuno. Tomoyuki Katsuno 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 4
2 0
3 7
4 2
5 2
6 3
7 53
8 2
9 14
10 7
11
Effects of combination therapy with mitiglinide and voglibose on postprandial plasma glucose in patients with type 2 diabetes mellitus
2
12 13
13 38
14 18
15 10
16 6
17
Asymmetric dimetylarginine (ADMA) could affect on cardiovascular complications in type 2 diabetes, particularly complicated with nephropathy
1
18 17
19 27
20 7

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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