Satoshi Yoshimura
Impact in
-
- Multiple Sclerosis Research Studies
- Neurology top 10%
- Peripheral Neuropathies and Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Multiple Sclerosis Research Studies 16
- Co-authors
- Jun‐ichi Kira (19 shared papers)Takuya Matsushita (18 shared papers)Noriko Isobe (16 shared papers)Katsuhisa Masaki (9 shared papers)Yuji Kawano (8 shared papers)Tomomi Yonekawa (13 shared papers)Shinya Sato (7 shared papers)Ryo Yamasaki (10 shared papers)
- Journals
- Multiple Sclerosis Journal (5 papers)PLoS ONE (2 papers)Blood (2 papers)British Journal of Cancer (2 papers)Cochrane Database of Systematic Reviews (2 papers)
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
Satoshi Yoshimura
48 papers receiving 597 citations
Peers
Comparison fields: 5 of 72
- Pathology and Forensic Medicine 264
- Neurology 103
- Neurology 54
- Immunology 105
- Rheumatology 66
Countries citing papers authored by Satoshi Yoshimura
This map shows the geographic impact of Satoshi Yoshimura'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 Satoshi Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Yoshimura more than expected).
Fields of papers citing papers by Satoshi Yoshimura
This network shows the impact of papers produced by Satoshi Yoshimura. 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 Satoshi Yoshimura. The network helps show where Satoshi Yoshimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Yoshimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2012 | 56 | |
| 3 | 2012 | 38 | |
| 4 | 2013 | 37 | |
| 5 | 1991 | 35 | |
| 6 | 2014 | 29 | |
| 7 | 2010 | 27 | |
| 8 | 1999 | 25 | |
| 9 | 2011 | 24 | |
| 10 | 2016 | 23 | |
| 11 | 2013 | 21 | |
| 12 | 1992 | 20 | |
| 13 | 2012 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2013 | 10 | |
| 18 | Molecular cloning of human plasma glutathione peroxidase gene and its expression in the kidney. | 1991 | 10 |
| 19 | 1996 | 8 | |
| 20 | 2022 | 8 |
About Satoshi Yoshimura
Satoshi Yoshimura is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Surgery, Immunology and Neurology, having authored 57 papers that have together received 607 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (16 papers), Acute Lymphoblastic Leukemia research (5 papers), Peripheral Neuropathies and Disorders (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Muscle and Compartmental Disorders (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (264 citations), Neurology (103 citations), Neurology (54 citations), Immunology (105 citations) and Rheumatology (66 citations). Satoshi Yoshimura has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Jun‐ichi Kira, Takuya Matsushita, Noriko Isobe, Katsuhisa Masaki, Yuji Kawano, Tomomi Yonekawa, Shinya Sato, Ryo Yamasaki, Shinya Sato and Keiichi Watanabe. Their work appears in journals such as Multiple Sclerosis Journal, PLoS ONE, Blood, British Journal of Cancer and Cochrane Database of Systematic Reviews.
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.