Mitsuhiro Rokuda
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Immunology top 10%
- Aquaculture disease management and microbiota
Papers in
- Rheumatology 10
- Rheumatoid Arthritis Research and Therapies 10
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Tetsuya Iida (3 shared papers)Takeshi Honda (3 shared papers)Takahiro Ono (2 shared papers)Myoung Ho Jang (2 shared papers)Kwon-Sam Park (2 shared papers)Kazuhisa Okada (1 shared paper)Yuichiro Kaneko (11 shared papers)Yoshiya Tanaka (11 shared papers)
- Journals
- Annals of the Rheumatic Diseases (5 papers)Modern Rheumatology (3 papers)Arthritis Research & Therapy (2 papers)Journal of Diabetes Investigation (2 papers)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- JapanSouth KoreaTaiwan
In The Last Decade
Mitsuhiro Rokuda
18 papers receiving 809 citations
Peers
Comparison fields: 5 of 62
- Endocrinology 520
- Immunology 404
- Rheumatology 210
- Genetics 99
- Molecular Medicine 43
Countries citing papers authored by Mitsuhiro Rokuda
This map shows the geographic impact of Mitsuhiro Rokuda'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 Mitsuhiro Rokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuhiro Rokuda more than expected).
Fields of papers citing papers by Mitsuhiro Rokuda
This network shows the impact of papers produced by Mitsuhiro Rokuda. 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 Mitsuhiro Rokuda. The network helps show where Mitsuhiro Rokuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuhiro Rokuda, 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 | 2004 | 334 | |
| 2 | 2004 | 109 | |
| 3 | 2007 | 104 | |
| 4 | 2019 | 101 | |
| 5 | 2019 | 85 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 0 |
About Mitsuhiro Rokuda
Mitsuhiro Rokuda is a scholar working on Rheumatology, Pathology and Forensic Medicine, Genetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 821 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Diabetes Treatment and Management (4 papers), Vibrio bacteria research studies (3 papers), Pancreatitis Pathology and Treatment (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology (520 citations), Immunology (404 citations), Rheumatology (210 citations), Genetics (99 citations) and Molecular Medicine (43 citations). Mitsuhiro Rokuda has collaborated with scholars based in Japan, South Korea and Taiwan. Frequent co-authors include Tetsuya Iida, Takeshi Honda, Takahiro Ono, Myoung Ho Jang, Kwon-Sam Park, Kazuhisa Okada, Yuichiro Kaneko, Yoshiya Tanaka, Tsutomu Takeuchi and Atsushi Kawakami. Their work appears in journals such as Annals of the Rheumatic Diseases, Modern Rheumatology, Arthritis Research & Therapy, Journal of Diabetes Investigation and Diabetes Obesity and Metabolism.
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.