Kaoru Uchida
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Genomics and Phylogenetic Studies 5
- Protist diversity and phylogeny 4
- Bacterial biofilms and quorum sensing 3
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Shin‐Ichi Aizawa (17 shared papers)Shotaro Kamata (2 shared papers)Yoshinao Katsu (2 shared papers)Tomomi Sato (2 shared papers)Atsuko Suzuki (2 shared papers)Taisen Iguchi (2 shared papers)Hajime Watanabe (2 shared papers)Ken F. Jarrell (8 shared papers)
- Journals
- Journal of Bacteriology (9 papers)PLoS ONE (3 papers)PLoS Pathogens (2 papers)American Journal of Obstetrics and Gynecology (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- JapanCanadaUnited Kingdom
In The Last Decade
Kaoru Uchida
39 papers receiving 940 citations
Peers
Comparison fields: 5 of 103
- Endocrinology 130
- Molecular Medicine 56
- Health, Toxicology and Mutagenesis 138
- Microbiology 53
- Genetics 234
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 141 | |
| 2 | 1993 | 111 | |
| 3 | 2012 | 76 | |
| 4 | 2012 | 68 | |
| 5 | 1996 | 62 | |
| 6 | 2010 | 55 | |
| 7 | 2013 | 39 | |
| 8 | 2013 | 33 | |
| 9 | 2011 | 33 | |
| 10 | 2002 | 32 | |
| 11 | 2012 | 29 | |
| 12 | 2017 | 27 | |
| 13 | 2016 | 25 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2015 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2013 | 12 |
About Kaoru Uchida
Kaoru Uchida is a scholar working on Molecular Biology, Genetics, Cell Biology, Endocrinology and Biotechnology, having authored 42 papers that have together received 967 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Glycosylation and Glycoproteins Research (6 papers), Genomics and Phylogenetic Studies (5 papers), Protist diversity and phylogeny (4 papers), Enzyme Production and Characterization (4 papers), Bacterial biofilms and quorum sensing (3 papers), Vibrio bacteria research studies (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Endocrinology (130 citations), Molecular Medicine (56 citations), Health, Toxicology and Mutagenesis (138 citations), Microbiology (53 citations) and Genetics (234 citations). Kaoru Uchida has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Shin‐Ichi Aizawa, Shotaro Kamata, Yoshinao Katsu, Tomomi Sato, Atsuko Suzuki, Taisen Iguchi, Hajime Watanabe, Ken F. Jarrell, R. Elizabeth Sockett and Yasuhiko Ohta. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, PLoS Pathogens, American Journal of Obstetrics and Gynecology and Journal of Cellular Physiology.
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.