Tomoki Abe

805 citations
39 papers · 659 · h-index 17

Impact in

    • Exercise and Physiological Responses
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging
    • Diet and metabolism studies

Papers in

Tomoki Abe

39 papers receiving 647 citations

Peers

Tomoki Abe
Comparison fields: 5 of 79
  • Rehabilitation 98
  • Physiology 294
  • Geriatrics and Gerontology 28
  • Cell Biology 96
  • Physiology 23
Replace Takeshi Nikawa with:
Takeshi Nikawa Japan
Marcia J. Abbott United States
Tatsuyoshi Kono United States
Neus Pedraza Spain
Martin Dale United Kingdom
Kevin A. Voelker United States
Tatiana V. Kramarova Sweden
Shinobu Nishitani Japan
Christine Durand France
Yasuro Furuichi Japan
Tomoki Abe relative to Takeshi Nikawa Japan Takeshi Nikawa's profile →
Citations per field
00.5×2.9×
Takeshi Nikawa · 1×
Citations per year

Countries citing papers authored by Tomoki Abe

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 201349
3 200948
4 201540
5 201937
6 201334
7 201231
8 201526
9 201025
10 201325
11 201523
12 201021
13 199621
14 201919
15 201417
16 201517
17 201616
18 202314
19 200613
20 201412

About Tomoki Abe

Tomoki Abe is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Rehabilitation, having authored 39 papers that have together received 659 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Muscle Physiology and Disorders (12 papers), Muscle metabolism and nutrition (7 papers), Exercise and Physiological Responses (4 papers), Diet and metabolism studies (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Immune Cell Function and Interaction (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Rehabilitation (98 citations), Physiology (294 citations), Geriatrics and Gerontology (28 citations), Cell Biology (96 citations) and Physiology (23 citations). Tomoki Abe has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takeshi Nikawa, Katsuya Hirasaka, Ayako Ohno, Junji Terao, Shohei Kohno, Shigetada Teshima-Kondo, Yuushi Okumura, Reiko Nakao, Masaaki Toyomizu and Yukio Akiba. Their work appears in journals such as The Journal of Medical Investigation, Archives of Biochemistry and Biophysics, Scientific Reports, Endocrinology and Biochemical and Biophysical Research Communications.

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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