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
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Tetsuya Iida (3 shared papers)Takeshi Honda (3 shared papers)Myoung Ho Jang (2 shared papers)Takahiro Ono (2 shared papers)Kwon-Sam Park (2 shared papers)Kazuhisa Okada (1 shared paper)Yoshiya Tanaka (11 shared papers)Hiroyuki Izutsu (11 shared papers)
- Journals
- Annals of the Rheumatic Diseases (5 papers)Modern Rheumatology (3 papers)Journal of Diabetes Investigation (2 papers)Arthritis Research & Therapy (2 papers)Infection and Immunity (1 paper)
- Partner nations
- JapanSouth KoreaTaiwan
In The Last Decade
Mitsuhiro Rokuda
19 papers receiving 849 citations
Peers
Comparison fields: 5 of 56
- Endocrinology 544
- Immunology 378
- Rheumatology 204
- Molecular Medicine 37
- Food Science 139
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 | 347 | |
| 2 | 2004 | 118 | |
| 3 | 2007 | 108 | |
| 4 | 2019 | 103 | |
| 5 | 2019 | 88 | |
| 6 | 2020 | 24 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2019 | 1 |
About Mitsuhiro Rokuda
Mitsuhiro Rokuda is a scholar working on Rheumatology, Genetics, Pathology and Forensic Medicine, Endocrinology and Immunology, having authored 19 papers that have together received 863 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Chronic Lymphocytic Leukemia Research (3 papers), Vibrio bacteria research studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Diabetes Treatment and Management (2 papers), Aquaculture disease management and microbiota (1 paper), Plant Pathogenic Bacteria Studies (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Endocrinology (544 citations), Immunology (378 citations), Rheumatology (204 citations), Molecular Medicine (37 citations) and Food Science (139 citations). Mitsuhiro Rokuda has collaborated with scholars based in Japan, South Korea and Taiwan. Frequent co-authors include Tetsuya Iida, Takeshi Honda, Myoung Ho Jang, Takahiro Ono, Kwon-Sam Park, Kazuhisa Okada, Yoshiya Tanaka, Hiroyuki Izutsu, Yuichiro Kaneko and Tsutomu Takeuchi. Their work appears in journals such as Annals of the Rheumatic Diseases, Modern Rheumatology, Journal of Diabetes Investigation, Arthritis Research & Therapy and Infection and Immunity.
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.