Shoko Ohno
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Connective Tissue Growth Factor Research 3
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- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 5
- Co-authors
- Hideki Yokoi (12 shared papers)Akira Ishii (12 shared papers)Motoko Yanagita (11 shared papers)Masashi Mukoyama (8 shared papers)Keita Mori (9 shared papers)Kazuwa Nakao (6 shared papers)Yukiko Kato (8 shared papers)Masato Kasahara (6 shared papers)
- Journals
- Scientific Reports (5 papers)Kidney International (3 papers)Journal of the American Society of Nephrology (1 paper)Nephrology Dialysis Transplantation (1 paper)Diabetologia (1 paper)
- Partner nations
- JapanUnited KingdomSpain
In The Last Decade
Shoko Ohno
14 papers receiving 323 citations
Peers
Comparison fields: 5 of 66
- Nephrology 109
- Cancer Research 52
- Molecular Biology 154
- Endocrinology, Diabetes and Metabolism 31
- Genetics 17
Countries citing papers authored by Shoko Ohno
This map shows the geographic impact of Shoko Ohno'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 Shoko Ohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoko Ohno more than expected).
Fields of papers citing papers by Shoko Ohno
This network shows the impact of papers produced by Shoko Ohno. 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 Shoko Ohno. The network helps show where Shoko Ohno may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoko Ohno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2016 | 59 | |
| 3 | 2011 | 54 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 18 | |
| 6 | 2017 | 18 | |
| 7 | 2017 | 17 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2024 | 1 |
About Shoko Ohno
Shoko Ohno is a scholar working on Molecular Biology, Nephrology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 326 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Connective Tissue Growth Factor Research (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Protease and Inhibitor Mechanisms (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Renin-Angiotensin System Studies (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Nephrology (109 citations), Cancer Research (52 citations), Molecular Biology (154 citations), Endocrinology, Diabetes and Metabolism (31 citations) and Genetics (17 citations). Shoko Ohno has collaborated with scholars based in Japan, United Kingdom and Spain. Frequent co-authors include Hideki Yokoi, Akira Ishii, Motoko Yanagita, Masashi Mukoyama, Keita Mori, Kazuwa Nakao, Yukiko Kato, Masato Kasahara, Kiyoshi Mori and Takashige Kuwabara. Their work appears in journals such as Scientific Reports, Kidney International, Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation and Diabetologia.
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.