Tadayuki Okitsu
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Vibrio bacteria research studies 15
- Escherichia coli research studies 9
- Enterobacteriaceae and Cronobacter Research 3
- Immunology 11
- Aquaculture disease management and microbiota 11
- Co-authors
- Shiro Yamai (21 shared papers)Toshio Shimada (7 shared papers)Eiji Arakawa (7 shared papers)Yasuji KATSUBE (2 shared papers)Toshiyuki Murase (6 shared papers)Yoshifumi Takeda (2 shared papers)Ro Osawa (5 shared papers)Kenichiro Itoh (2 shared papers)
In The Last Decade
Tadayuki Okitsu
25 papers receiving 476 citations
Peers
Comparison fields: 5 of 45
- Endocrinology 434
- Food Science 269
- Immunology 269
- Molecular Medicine 45
- Biotechnology 24
Countries citing papers authored by Tadayuki Okitsu
This map shows the geographic impact of Tadayuki Okitsu'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 Tadayuki Okitsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadayuki Okitsu more than expected).
Fields of papers citing papers by Tadayuki Okitsu
This network shows the impact of papers produced by Tadayuki Okitsu. 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 Tadayuki Okitsu. The network helps show where Tadayuki Okitsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tadayuki Okitsu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 144 | |
| 2 | 1997 | 90 | |
| 3 | 1995 | 58 | |
| 4 | 1996 | 40 | |
| 5 | Emergence and prevalence of a novel Vibrio parahaemolyticus O3:K6 clone in Japan. | 1999 | 36 |
| 6 | 1994 | 35 | |
| 7 | 1999 | 22 | |
| 8 | 2002 | 18 | |
| 9 | 2001 | 10 | |
| 10 | 2000 | 7 | |
| 11 | 2001 | 7 | |
| 12 | 1985 | 5 | |
| 13 | 2004 | 5 | |
| 14 | 1997 | 4 | |
| 15 | 1997 | 4 | |
| 16 | 1996 | 4 | |
| 17 | 1999 | 4 | |
| 18 | 2001 | 3 | |
| 19 | 1996 | 3 | |
| 20 | 1997 | 2 |
About Tadayuki Okitsu
Tadayuki Okitsu is a scholar working on Endocrinology, Immunology, Ecology, Food Science and Infectious Diseases, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (15 papers), Aquaculture disease management and microbiota (11 papers), Escherichia coli research studies (9 papers), Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Enterobacteriaceae and Cronobacter Research (3 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Endocrinology (434 citations), Food Science (269 citations), Immunology (269 citations), Molecular Medicine (45 citations) and Biotechnology (24 citations). Tadayuki Okitsu has collaborated with scholars based in Japan, Thailand and India. Frequent co-authors include Shiro Yamai, Toshio Shimada, Eiji Arakawa, Yasuji KATSUBE, Toshiyuki Murase, Yoshifumi Takeda, Ro Osawa, Kenichiro Itoh, G. Balakrish Nair and M. John Albert. Their work appears in journals such as Current Microbiology, Kansenshogaku zasshi, Journal of Clinical Microbiology, Applied and Environmental Microbiology and Journal of Bioscience and Bioengineering.
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.