Jun Okuda
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Immunology top 5%
- Aquaculture disease management and microbiota
Papers in
-
- Vibrio bacteria research studies 19
-
- Diet, Metabolism, and Disease 14
- Co-authors
- Ichitomo Miwa (48 shared papers)Mitsuaki Nishibuchi (9 shared papers)Yung Bu Kim (4 shared papers)Chiho Matsumoto (4 shared papers)Satoru Hashimoto (1 shared paper)Naoki Takahashi (1 shared paper)KAZUO K. KIMURA (26 shared papers)Kengo Tsukahara (24 shared papers)
- Journals
- Chemical and Pharmaceutical Bulletin (13 papers)Circulation Journal (9 papers)The Journal of Biochemistry (5 papers)Biochemical Pharmacology (5 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Jun Okuda
135 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 126
- Endocrinology 1.2k
- Immunology 880
- Molecular Medicine 209
- Food Science 488
- Cardiology and Cardiovascular Medicine 386
Countries citing papers authored by Jun Okuda
This map shows the geographic impact of Jun Okuda'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 Jun Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Okuda more than expected).
Fields of papers citing papers by Jun Okuda
This network shows the impact of papers produced by Jun Okuda. 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 Jun Okuda. The network helps show where Jun Okuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Okuda, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 433 | |
| 2 | 2000 | 340 | |
| 3 | 1972 | 257 | |
| 4 | 2010 | 148 | |
| 5 | 1995 | 123 | |
| 6 | 2005 | 102 | |
| 7 | 2012 | 82 | |
| 8 | 2010 | 80 | |
| 9 | 2006 | 72 | |
| 10 | 2010 | 70 | |
| 11 | 1982 | 68 | |
| 12 | 2005 | 66 | |
| 13 | 1982 | 66 | |
| 14 | 2007 | 66 | |
| 15 | 1974 | 64 | |
| 16 | 1998 | 62 | |
| 17 | 2010 | 52 | |
| 18 | 1998 | 44 | |
| 19 | 1975 | 41 | |
| 20 | 1977 | 39 |
About Jun Okuda
Jun Okuda is a scholar working on Endocrinology, Endocrinology, Diabetes and Metabolism, Surgery, Cell Biology and Physiology, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Vibrio bacteria research studies (19 papers), Aquaculture disease management and microbiota (16 papers), Diet, Metabolism, and Disease (14 papers), Metabolism, Diabetes, and Cancer (13 papers), Aldose Reductase and Taurine (13 papers), Biochemical effects in animals (10 papers) and Amino Acid Enzymes and Metabolism (10 papers). The work is most often cited by research in Endocrinology (1.2k citations), Immunology (880 citations), Molecular Medicine (209 citations), Food Science (488 citations) and Cardiology and Cardiovascular Medicine (386 citations). Jun Okuda has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Ichitomo Miwa, Mitsuaki Nishibuchi, Yung Bu Kim, Chiho Matsumoto, Satoru Hashimoto, Naoki Takahashi, KAZUO K. KIMURA, Kengo Tsukahara, Masami Kosuge and Satoshi Umemura. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Circulation Journal, The Journal of Biochemistry, Biochemical Pharmacology and Biochemical and Biophysical Research Communications.
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.