Jin Satō

67 papers receiving 664 citations

Peers

Jin Satō
Comparison fields: 5 of 139
  • Development 51
  • Gastroenterology 39
  • Urology 29
  • Genetics 45
  • Oncology 103
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James A. Perkins United States
A. Verdecchia Italy
Abdullah Aydın Türkiye
William P. McWhorter United States
Michelle Le Canada
Florian Fritzsche Germany
Daniele Lisi Italy
J. Andrew Grant Canada
Sabah M. Quraishi United States
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Citations per field
00.5×10×15×19.5×
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Citations per year

Countries citing papers authored by Jin Satō

Since Specialization
Citations

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

Fields of papers citing papers by Jin Satō

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197984
2 201170
3 200157
4 200054
5 199550
6 200643
7 201040
8 200036
9 199428
10 199327
11
[Epidemiological study of risk factors for bladder cancer].
199521
12 200319
13 199412
14 199511
15
Guided tissue regeneration around dental implants in immediate extraction sockets: comparison of resorbable and nonresorbable membranes.
199710
16 19909
17 20019
18 20149
19
[A case of pure leiomyoma of the prostate].
19998
20 19957

About Jin Satō

Jin Satō is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Sociology and Political Science, Political Science and International Relations and Molecular Biology, having authored 71 papers that have together received 725 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Southeast Asian Sociopolitical Studies (6 papers), Cambodian History and Society (6 papers), Bladder and Urothelial Cancer Treatments (6 papers), Conservation, Biodiversity, and Resource Management (4 papers), International Development and Aid (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Development (51 citations), Gastroenterology (39 citations), Urology (29 citations), Genetics (45 citations) and Oncology (103 citations). Jin Satō has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Hidetoshi Yamanaka, Takaaki Kobayashi, Kyoichi Imai, Ikuo Kimura, Shunkichi Hiraki, Ichiro Miyoshi, Yutaka Kubota, Seiji Nakata, Yoshihide Fujiyama and Fumio Toda. Their work appears in journals such as The Journal of Biochemistry, European Journal of Anaesthesiology, The Journal of Urology, The Prostate and Japanese Journal of Clinical Oncology.

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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