Kaoru Uchida
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Bacterial biofilms and quorum sensing 3
- Genomics and Phylogenetic Studies 3
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Shin‐Ichi Aizawa (17 shared papers)Yoshinao Katsu (2 shared papers)Taisen Iguchi (2 shared papers)Tomomi Sato (2 shared papers)Atsuko Suzuki (2 shared papers)Hajime Watanabe (2 shared papers)R. Elizabeth Sockett (3 shared papers)Yasuhiko Ohta (1 shared paper)
- Journals
- Journal of Bacteriology (9 papers)PLoS ONE (3 papers)PLoS Pathogens (2 papers)Molecular and Cellular Biochemistry (1 paper)Psychiatry and Clinical Neurosciences (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Kaoru Uchida
38 papers receiving 884 citations
Peers
Comparison fields: 5 of 99
- Endocrinology 125
- Molecular Medicine 58
- Health, Toxicology and Mutagenesis 147
- Genetics 227
- Structural Biology 10
Countries citing papers authored by Kaoru Uchida
This map shows the geographic impact of Kaoru Uchida'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 Kaoru Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Uchida more than expected).
Fields of papers citing papers by Kaoru Uchida
This network shows the impact of papers produced by Kaoru Uchida. 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 Kaoru Uchida. The network helps show where Kaoru Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Uchida, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 149 | |
| 2 | 2012 | 79 | |
| 3 | 2012 | 73 | |
| 4 | 1996 | 63 | |
| 5 | 2010 | 56 | |
| 6 | 2013 | 41 | |
| 7 | 2011 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2002 | 35 | |
| 10 | 2013 | 33 | |
| 11 | 2012 | 31 | |
| 12 | 2016 | 26 | |
| 13 | 2014 | 24 | |
| 14 | 2015 | 23 | |
| 15 | 2019 | 20 | |
| 16 | 2015 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2013 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2015 | 12 |
About Kaoru Uchida
Kaoru Uchida is a scholar working on Molecular Biology, Genetics, Endocrinology, Organic Chemistry and Cell Biology, having authored 41 papers that have together received 905 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Bacterial Genetics and Biotechnology (5 papers), Enzyme Production and Characterization (4 papers), Vibrio bacteria research studies (3 papers), Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers), Cellular transport and secretion (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (125 citations), Molecular Medicine (58 citations), Health, Toxicology and Mutagenesis (147 citations), Genetics (227 citations) and Structural Biology (10 citations). Kaoru Uchida has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Shin‐Ichi Aizawa, Yoshinao Katsu, Taisen Iguchi, Tomomi Sato, Atsuko Suzuki, Hajime Watanabe, R. Elizabeth Sockett, Yasuhiko Ohta, Ken F. Jarrell and Andrew L. Lovering. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, PLoS Pathogens, Molecular and Cellular Biochemistry and Psychiatry and Clinical Neurosciences.
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.