Yasuhiro Gotoh
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Ecology 28
- Bacteriophages and microbial interactions 25
- Microbial Community Ecology and Physiology 5
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- Genomics and Phylogenetic Studies 9
- Gut microbiota and health 4
- Co-authors
- Tetsuya Hayashi (54 shared papers)Ryutaro Utsumi (6 shared papers)Takafumi Watanabe (3 shared papers)Yoshitoshi Ogura (29 shared papers)Akihiro Doi (4 shared papers)Yoko Eguchi (1 shared paper)Sho Okamoto (1 shared paper)Keiji Nakamura (19 shared papers)
- Journals
- Microbial Genomics (9 papers)Frontiers in Microbiology (4 papers)DNA Research (3 papers)Scientific Reports (3 papers)eLife (3 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Yasuhiro Gotoh
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Endocrinology 360
- Molecular Medicine 164
- Infectious Diseases 296
- Microbiology 80
- Ecology 323
Countries citing papers authored by Yasuhiro Gotoh
This map shows the geographic impact of Yasuhiro Gotoh'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 Yasuhiro Gotoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Gotoh more than expected).
Fields of papers citing papers by Yasuhiro Gotoh
This network shows the impact of papers produced by Yasuhiro Gotoh. 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 Yasuhiro Gotoh. The network helps show where Yasuhiro Gotoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasuhiro Gotoh, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 245 | |
| 2 | 2019 | 80 | |
| 3 | 1990 | 71 | |
| 4 | 2015 | 70 | |
| 5 | 2015 | 68 | |
| 6 | 2019 | 52 | |
| 7 | 2010 | 50 | |
| 8 | 2022 | 48 | |
| 9 | 2016 | 41 | |
| 10 | 2007 | 41 | |
| 11 | 2021 | 34 | |
| 12 | 2008 | 33 | |
| 13 | 2019 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2021 | 23 | |
| 17 | 2011 | 22 | |
| 18 | 2008 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2020 | 17 |
About Yasuhiro Gotoh
Yasuhiro Gotoh is a scholar working on Ecology, Molecular Biology, Infectious Diseases, Endocrinology and Genetics, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (25 papers), Escherichia coli research studies (19 papers), Viral gastroenteritis research and epidemiology (14 papers), Antibiotic Resistance in Bacteria (9 papers), Bacterial Genetics and Biotechnology (9 papers), Genomics and Phylogenetic Studies (9 papers), Microbial Community Ecology and Physiology (5 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Endocrinology (360 citations), Molecular Medicine (164 citations), Infectious Diseases (296 citations), Microbiology (80 citations) and Ecology (323 citations). Yasuhiro Gotoh has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Tetsuya Hayashi, Ryutaro Utsumi, Takafumi Watanabe, Yoshitoshi Ogura, Akihiro Doi, Yoko Eguchi, Sho Okamoto, Keiji Nakamura, Tadasuke Ooka and Takehiko Itoh. Their work appears in journals such as Microbial Genomics, Frontiers in Microbiology, DNA Research, Scientific Reports and eLife.
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.