Keisuke Sato

94 papers receiving 1.8k citations

Peers

Keisuke Sato
Comparison fields: 5 of 136
  • Periodontics 155
  • Behavioral Neuroscience 103
  • Geriatrics and Gerontology 80
  • Endocrine and Autonomic Systems 135
  • Social Psychology 307
Replace Andrea Székely with:
Andrea Székely Hungary
Haidong Zhu United States
Kin‐ya Kubo Japan
Dóris Hissako Sumida Brazil
M Passeri Italy
Shuji Inoue Japan
Moı̈se Coëffier France
Yi Li China
Július Hodosy Slovakia
Dominique D. Pierroz Switzerland
Keisuke Sato relative to Andrea Székely Hungary Andrea Székely's profile →
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Citations per year

Countries citing papers authored by Keisuke Sato

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 2017166
3 202094
4 201376
5 201369
6 201466
7 199265
8
CD4+ T cells from peripheral blood of a melanoma patient recognize peptides derived from nonmutated tyrosinase.
199861
9 202159
10 202156
11 201654
12 201848
13 201447
14 200743
15 200943
16 202039
17 201435
18 202028
19 201526
20 202025

About Keisuke Sato

Keisuke Sato is a scholar working on Surgery, Epidemiology, Physiology, Molecular Biology and Rehabilitation, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (13 papers), Stroke Rehabilitation and Recovery (11 papers), Neuroscience of respiration and sleep (6 papers), Frailty in Older Adults (6 papers), Immunotherapy and Immune Responses (6 papers), Neuroendocrine regulation and behavior (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hip and Femur Fractures (5 papers). The work is most often cited by research in Periodontics (155 citations), Behavioral Neuroscience (103 citations), Geriatrics and Gerontology (80 citations), Endocrine and Autonomic Systems (135 citations) and Social Psychology (307 citations). Keisuke Sato has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Katsuhiko Nishimori, Akio Shimizu, Keisuke Maeda, Junko Ueshima, Natalie C. Tronson, Hiroaki Mizukami, Anita L. Guedea, Tatsuro Inoue, Yomayra F. Guzmán and Jelena Radulović. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Abdominal Radiology, Scientific Reports, Immunogenetics 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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