Kosuke Ota
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Immunology top 10%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
Papers in
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- Semiconductor materials and devices 8
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- Diamond and Carbon-based Materials Research 7
- Co-authors
- Elisabeth I. Wallner (10 shared papers)Jun Wada (12 shared papers)Yashpal S. Kanwar (8 shared papers)Anil Kumar (4 shared papers)Anil Kumar (5 shared papers)Naoki Kashihara (5 shared papers)Kenichi Shikata (9 shared papers)Qiwei Yang (5 shared papers)
- Journals
- American Journal of Nephrology (5 papers)Kidney International (4 papers)American Journal of Physiology-Renal Physiology (3 papers)Journal of Diabetes and its Complications (3 papers)IEEE Electron Device Letters (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kosuke Ota
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Nephrology 103
- Immunology 257
- Molecular Biology 398
- Immunology and Allergy 30
- Cancer Research 72
Countries citing papers authored by Kosuke Ota
This map shows the geographic impact of Kosuke 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 Kosuke Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Ota more than expected).
Fields of papers citing papers by Kosuke Ota
This network shows the impact of papers produced by Kosuke 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 Kosuke Ota. The network helps show where Kosuke Ota may publish in the future.
Co-authors
The 25 scholars most cited alongside Kosuke 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 248 | |
| 2 | 1997 | 68 | |
| 3 | 2007 | 64 | |
| 4 | 1999 | 52 | |
| 5 | 1997 | 39 | |
| 6 | 1998 | 39 | |
| 7 | 1997 | 36 | |
| 8 | 2013 | 36 | |
| 9 | 2000 | 33 | |
| 10 | 1998 | 32 | |
| 11 | 1999 | 28 | |
| 12 | 2002 | 25 | |
| 13 | 1999 | 24 | |
| 14 | 2002 | 24 | |
| 15 | 1994 | 23 | |
| 16 | 1997 | 22 | |
| 17 | 2007 | 21 | |
| 18 | 1995 | 19 | |
| 19 | 1998 | 17 | |
| 20 | 2023 | 15 |
About Kosuke Ota
Kosuke Ota is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Nephrology and Surgery, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Semiconductor materials and devices (8 papers), Diamond and Carbon-based Materials Research (7 papers), Renal and related cancers (7 papers), Chronic Kidney Disease and Diabetes (5 papers), Metabolism, Diabetes, and Cancer (2 papers), Pregnancy and preeclampsia studies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Nephrology (103 citations), Immunology (257 citations), Molecular Biology (398 citations), Immunology and Allergy (30 citations) and Cancer Research (72 citations). Kosuke Ota has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Elisabeth I. Wallner, Jun Wada, Yashpal S. Kanwar, Anil Kumar, Anil Kumar, Naoki Kashihara, Kenichi Shikata, Qiwei Yang, Zensuke Ota and Frank A. Carone. Their work appears in journals such as American Journal of Nephrology, Kidney International, American Journal of Physiology-Renal Physiology, Journal of Diabetes and its Complications and IEEE Electron Device Letters.
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.