Tadasuke Ooka
Impact in
- Endocrinology top 0.1%
- Escherichia coli research studies
- Enterobacteriaceae and Cronobacter Research
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Escherichia coli research studies 51
- Enterobacteriaceae and Cronobacter Research 9
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- Viral gastroenteritis research and epidemiology 29
- Co-authors
- Tetsuya Hayashi (54 shared papers)Yoshitoshi Ogura (42 shared papers)Atsushi Iguchi (13 shared papers)Satoshi Ishizuka (2 shared papers)Masahito Hagio (2 shared papers)K.B.M. Saiful Islam (2 shared papers)Atsushi Yokota (2 shared papers)Satoru Fukiya (2 shared papers)
In The Last Decade
Tadasuke Ooka
71 papers receiving 4.1k citations
Tadasuke Ooka's Hit Papers
Peers
Comparison fields: 5 of 113
- Endocrinology 1.9k
- Molecular Medicine 369
- Infectious Diseases 1.1k
- Food Science 694
- Microbiology 164
Countries citing papers authored by Tadasuke Ooka
This map shows the geographic impact of Tadasuke Ooka'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 Tadasuke Ooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadasuke Ooka more than expected).
Fields of papers citing papers by Tadasuke Ooka
This network shows the impact of papers produced by Tadasuke Ooka. 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 Tadasuke Ooka. The network helps show where Tadasuke Ooka may publish in the future.
Co-authors
The 25 scholars most cited alongside Tadasuke Ooka, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bile Acid Is a Host Factor That Regulates the Composition of the Cecal Microbiota in Rats Hit paper breakdown → | 2011 | 782 |
| 2 | 2009 | 297 | |
| 3 | 2008 | 276 | |
| 4 | 2009 | 188 | |
| 5 | 2012 | 183 | |
| 6 | 2014 | 156 | |
| 7 | 2008 | 148 | |
| 8 | 2012 | 146 | |
| 9 | 2011 | 146 | |
| 10 | 2010 | 141 | |
| 11 | 2007 | 96 | |
| 12 | 2008 | 77 | |
| 13 | 2012 | 77 | |
| 14 | 2011 | 76 | |
| 15 | 2015 | 74 | |
| 16 | 2011 | 72 | |
| 17 | 2015 | 71 | |
| 18 | 2009 | 67 | |
| 19 | 2009 | 54 | |
| 20 | 2014 | 51 |
About Tadasuke Ooka
Tadasuke Ooka is a scholar working on Endocrinology, Infectious Diseases, Ecology, Food Science and Microbiology, having authored 75 papers that have together received 4.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (51 papers), Viral gastroenteritis research and epidemiology (29 papers), Bacteriophages and microbial interactions (24 papers), Probiotics and Fermented Foods (10 papers), Enterobacteriaceae and Cronobacter Research (9 papers), Bacterial Genetics and Biotechnology (8 papers), Genomics and Phylogenetic Studies (6 papers) and Listeria monocytogenes in Food Safety (5 papers). The work is most often cited by research in Endocrinology (1.9k citations), Molecular Medicine (369 citations), Infectious Diseases (1.1k citations), Food Science (694 citations) and Microbiology (164 citations). Tadasuke Ooka has collaborated with scholars based in Japan, Brazil and Germany. Frequent co-authors include Tetsuya Hayashi, Yoshitoshi Ogura, Atsushi Iguchi, Satoshi Ishizuka, Masahito Hagio, K.B.M. Saiful Islam, Atsushi Yokota, Satoru Fukiya, Ken Kurokawa and Keisuke Nakayama. Their work appears in journals such as DNA Research, Microbial Genomics, Journal of Bacteriology, Frontiers in Microbiology and Journal of Clinical Microbiology.
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.