Satoshi Ohte
Impact in
- Rheumatology top 5%
- Heterotopic Ossification and Related Conditions
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
-
- TGF-β signaling in diseases 16
- Bone Metabolism and Diseases 11
- Rheumatology 22
- Heterotopic Ossification and Related Conditions 21
- Co-authors
- Takenobu Katagiri (26 shared papers)Hiroshi Tomoda (27 shared papers)Shoichiro Kokabu (13 shared papers)Ryuji Uchida (16 shared papers)Taichi Ohshiro (15 shared papers)Daisuke Matsuda (9 shared papers)Katsumi Yoneyama (7 shared papers)Toru Fukuda (7 shared papers)
- Journals
- The Journal of Antibiotics (13 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Bone and Mineral Research (3 papers)Molecular Endocrinology (3 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Satoshi Ohte
47 papers receiving 901 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 204
- Nephrology 74
- Pharmacology 151
- Molecular Biology 549
- Pharmacology 54
Countries citing papers authored by Satoshi Ohte
This map shows the geographic impact of Satoshi Ohte'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 Ohte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Ohte more than expected).
Fields of papers citing papers by Satoshi Ohte
This network shows the impact of papers produced by Satoshi Ohte. 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 Ohte. The network helps show where Satoshi Ohte may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Ohte, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2010 | 63 | |
| 3 | 2010 | 47 | |
| 4 | 2010 | 44 | |
| 5 | 2014 | 41 | |
| 6 | 2008 | 41 | |
| 7 | 2009 | 38 | |
| 8 | 2016 | 38 | |
| 9 | 2019 | 30 | |
| 10 | 2008 | 29 | |
| 11 | 2011 | 27 | |
| 12 | 2013 | 26 | |
| 13 | 2018 | 26 | |
| 14 | 2018 | 26 | |
| 15 | 2015 | 26 | |
| 16 | 2013 | 25 | |
| 17 | 2014 | 21 | |
| 18 | 2012 | 21 | |
| 19 | 2013 | 20 | |
| 20 | 2012 | 19 |
About Satoshi Ohte
Satoshi Ohte is a scholar working on Molecular Biology, Rheumatology, Nephrology, Biochemistry and Surgery, having authored 50 papers that have together received 919 indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (21 papers), TGF-β signaling in diseases (16 papers), Bone Metabolism and Diseases (11 papers), Parathyroid Disorders and Treatments (7 papers), Lipid metabolism and biosynthesis (6 papers), Medical Imaging and Pathology Studies (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Connective tissue disorders research (4 papers). The work is most often cited by research in Rheumatology (204 citations), Nephrology (74 citations), Pharmacology (151 citations), Molecular Biology (549 citations) and Pharmacology (54 citations). Satoshi Ohte has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Takenobu Katagiri, Hiroshi Tomoda, Shoichiro Kokabu, Ryuji Uchida, Taichi Ohshiro, Daisuke Matsuda, Katsumi Yoneyama, Toru Fukuda, Tetsuya Yoda and Kazuhiro Kanomata. Their work appears in journals such as The Journal of Antibiotics, Bioorganic & Medicinal Chemistry Letters, Journal of Bone and Mineral Research, Molecular Endocrinology and Scientific Reports.
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.