Satoshi Ota
Impact in
- Internal Medicine top 1%
- Venous Thromboembolism Diagnosis and Management
- Aging top 5%
Papers in
-
- Epigenetics and DNA Methylation 10
- CRISPR and Genetic Engineering 10
- Protein Kinase Regulation and GTPase Signaling 6
- Cancer-related gene regulation 6
-
- Medical Imaging and Pathology Studies 10
- Co-authors
- Atsuo Kawahara (12 shared papers)Yu Hisano (8 shared papers)Norikazu Yamada (30 shared papers)Masashi Fukayama (26 shared papers)Masaaki Ito (24 shared papers)Hamid Band (7 shared papers)Mashio Nakamura (19 shared papers)Mark Lupher (6 shared papers)
- Journals
- Circulation Journal (9 papers)Cancer Science (5 papers)Journal of Biological Chemistry (5 papers)International Journal of Hematology (4 papers)International Journal of Cancer (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Satoshi Ota
143 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 121
- Internal Medicine 327
- Aging 65
- Pulmonary and Respiratory Medicine 736
- Molecular Biology 1.7k
- Cell Biology 398
Countries citing papers authored by Satoshi Ota
This map shows the geographic impact of Satoshi Ota'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 Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Ota more than expected).
Fields of papers citing papers by Satoshi Ota
This network shows the impact of papers produced by Satoshi Ota. 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 Ota. The network helps show where Satoshi Ota may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Ota, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 183 | |
| 2 | 2015 | 180 | |
| 3 | 2006 | 162 | |
| 4 | 2000 | 120 | |
| 5 | 2009 | 114 | |
| 6 | 2000 | 105 | |
| 7 | 2014 | 92 | |
| 8 | 2009 | 91 | |
| 9 | 2000 | 90 | |
| 10 | 2000 | 84 | |
| 11 | 1997 | 84 | |
| 12 | 2009 | 84 | |
| 13 | 2016 | 83 | |
| 14 | 2015 | 81 | |
| 15 | 2009 | 76 | |
| 16 | 2007 | 75 | |
| 17 | 1996 | 64 | |
| 18 | 2006 | 64 | |
| 19 | 2006 | 63 | |
| 20 | 2012 | 62 |
About Satoshi Ota
Satoshi Ota is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Internal Medicine, having authored 147 papers that have together received 4.0k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (21 papers), Epigenetics and DNA Methylation (10 papers), CRISPR and Genetic Engineering (10 papers), Medical Imaging and Pathology Studies (10 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Internal Medicine (327 citations), Aging (65 citations), Pulmonary and Respiratory Medicine (736 citations), Molecular Biology (1.7k citations) and Cell Biology (398 citations). Satoshi Ota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Atsuo Kawahara, Yu Hisano, Norikazu Yamada, Masashi Fukayama, Masaaki Ito, Hamid Band, Mashio Nakamura, Mark Lupher, Ken Ishikura and Hiroyuki Aburatani. Their work appears in journals such as Circulation Journal, Cancer Science, Journal of Biological Chemistry, International Journal of Hematology and International Journal of Cancer.
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.