Tomoya Sakamoto

1.2k total citations
22 papers, 943 citations indexed

About

Tomoya Sakamoto is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Tomoya Sakamoto has authored 22 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Tomoya Sakamoto's work include Adipose Tissue and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Tomoya Sakamoto is often cited by papers focused on Adipose Tissue and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Tomoya Sakamoto collaborates with scholars based in Japan, United States and South Korea. Tomoya Sakamoto's co-authors include Nobuyuki Takahashi, Teruo Kawada, Tsuyoshi Goto, Rina Yu, Minji Kim, Young‐Il Kim, Daniel P. Kelly, Takahiro Nitta, Joo‐Young Lee and Shizuka Hirai and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Tomoya Sakamoto

22 papers receiving 932 citations

Peers

Tomoya Sakamoto
Comparison fields: 5 of 83
  • Physiology 564
  • Epidemiology 382
  • Molecular Biology 360
  • Cardiology and Cardiovascular Medicine 168
  • Rehabilitation 127
Meshail Okla United States
Ashley S. Williams United States
Ellen Konings Netherlands
Geerte Hoeke Netherlands
Jesse W. Price United States
Marta Fernández‐Galilea Spain
Zhenping Zhu China
Pauline Morigny Germany
Huei‐Fen Jheng Japan
C. Bonnard France
Meshail Okla United States View profile →
Citations per field, relative to Tomoya Sakamoto
Tomoya Sakamoto · 1×
Citations per year, relative to Tomoya Sakamoto
Tomoya Sakamoto · 1×

Countries citing papers authored by Tomoya Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoya Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Sakamoto. A scholar is included among the top collaborators of Tomoya Sakamoto 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 Tomoya Sakamoto. Tomoya Sakamoto 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 8
2 20
3 8
4 16
5 25
6 2
7 87
8 115
9 98
10 11
11 24
12 109
13 40
14 2
15 41
16 146
17 44
18 80
19 43
20 3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026