Masataka Uchida

40 papers receiving 614 citations

Peers

Masataka Uchida
Comparison fields: 5 of 89
  • Rehabilitation 97
  • Complementary and alternative medicine 72
  • Physiology 200
  • Cardiology and Cardiovascular Medicine 102
  • Behavioral Neuroscience 16
Replace Shumpei Fujie with:
Shumpei Fujie Japan
Svetlana Simtchouk Canada
Fumiko Nagatomo Japan
Zhongfu Zhao China
Ana P. Pinto Brazil
Naoki Horii Japan
Matías Monsalves‐Álvarez Chile
Jonathan S. T. Woodhead New Zealand
Eduardo Iglesias‐Gutiérrez Spain
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Masataka Uchida relative to Shumpei Fujie Japan Shumpei Fujie's profile →
Citations per field
00.5×1.6×
Shumpei Fujie · 1×
Citations per year

Countries citing papers authored by Masataka Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 201854
3 201151
4 200947
5 201843
6 201936
7 201733
8 201025
9 201023
10 201721
11 201920
12 202019
13 202118
14 202117
15 201416
16 201915
17 201914
18 202212
19 201911
20 201510

About Masataka Uchida

Masataka Uchida is a scholar working on Rehabilitation, Physiology, Molecular Biology, Complementary and alternative medicine and Cell Biology, having authored 43 papers that have together received 625 indexed citations. Recurring topics across this work include Exercise and Physiological Responses (16 papers), Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (7 papers), Cardiovascular and exercise physiology (5 papers), Muscle Physiology and Disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Immune Cell Function and Interaction (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Rehabilitation (97 citations), Complementary and alternative medicine (72 citations), Physiology (200 citations), Cardiology and Cardiovascular Medicine (102 citations) and Behavioral Neuroscience (16 citations). Masataka Uchida has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Motoyuki Iemitsu, Shumpei Fujie, Naoki Horii, Natsuki Hasegawa, Hiromi Yano, Eri Oyanagi, Takafumi Hamaoka, Kozo Utsumi, Eri Miyamoto‐Mikami and Izumi Tabata. Their work appears in journals such as Medicine & Science in Sports & Exercise, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Biochemical and Biophysical Research Communications, The FASEB Journal and Nutrients.

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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