Junko Tomida
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in ⓘ
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- Enterobacteriaceae and Cronobacter Research 7
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- Antibiotic Resistance in Bacteria 8
- Co-authors
- Yoshiaki Kawamura (53 shared papers)Yuji Morita (26 shared papers)Takaaki Akaike (6 shared papers)Ken‐ichi Nakashima (10 shared papers)Makoto Inoue (10 shared papers)Tatsuya Okamoto (4 shared papers)Shigemoto Fujii (2 shared papers)Takao Hirai (7 shared papers)
- Journals
- Systematic and Applied Microbiology (4 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (4 papers)Biological and Pharmaceutical Bulletin (4 papers)Frontiers in Microbiology (4 papers)Antibiotics (3 papers)
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Junko Tomida
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 378
- Endocrinology 148
- Applied Microbiology and Biotechnology 34
- Microbiology 89
- Pharmacology 197
Countries citing papers authored by Junko Tomida
This map shows the geographic impact of Junko Tomida'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 Junko Tomida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Tomida more than expected).
Fields of papers citing papers by Junko Tomida
This network shows the impact of papers produced by Junko Tomida. 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 Junko Tomida. The network helps show where Junko Tomida may publish in the future.
Co-authors
The 25 scholars most cited alongside Junko Tomida, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 253 | |
| 2 | 2012 | 143 | |
| 3 | 2014 | 78 | |
| 4 | 2016 | 67 | |
| 5 | 2015 | 52 | |
| 6 | 2012 | 52 | |
| 7 | 2012 | 42 | |
| 8 | 2012 | 33 | |
| 9 | 2017 | 32 | |
| 10 | 2014 | 26 | |
| 11 | 2019 | 24 | |
| 12 | 2011 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2017 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2018 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2010 | 15 |
About Junko Tomida
Junko Tomida is a scholar working on Endocrinology, Molecular Medicine, Family Practice, Microbiology and Pharmacology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Helicobacter pylori-related gastroenterology studies (11 papers), Mycobacterium research and diagnosis (11 papers), Microbial Natural Products and Biosynthesis (9 papers), Antibiotic Resistance in Bacteria (8 papers), Fungal Biology and Applications (7 papers), Enterobacteriaceae and Cronobacter Research (7 papers) and Bacterial biofilms and quorum sensing (6 papers). The work is most often cited by research in Molecular Medicine (378 citations), Endocrinology (148 citations), Applied Microbiology and Biotechnology (34 citations), Microbiology (89 citations) and Pharmacology (197 citations). Junko Tomida has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yoshiaki Kawamura, Yuji Morita, Takaaki Akaike, Ken‐ichi Nakashima, Makoto Inoue, Tatsuya Okamoto, Shigemoto Fujii, Takao Hirai, Kunihiko Nishino and Nagatoshi Fujiwara. Their work appears in journals such as Systematic and Applied Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Biological and Pharmaceutical Bulletin, Frontiers in Microbiology and Antibiotics.
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.