Kaoru Umeda
Impact in
- Endocrinology top 5%
- Diphtheria, Corynebacterium, and Tetanus
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Diphtheria, Corynebacterium, and Tetanus 7
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- Antibiotic Resistance in Bacteria 6
- Co-authors
- Tomoko Kohda (8 shared papers)Shunji Kozaki (8 shared papers)Hiromi K. Nakamura (10 shared papers)Masafumi Mukamoto (6 shared papers)Kaori Yamamoto (5 shared papers)Jun Ogasawara (7 shared papers)Atsushi Hase (7 shared papers)Yoshiyuki Seto (3 shared papers)
In The Last Decade
Kaoru Umeda
48 papers receiving 662 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 127
- Molecular Medicine 64
- Neurology 179
- Infectious Diseases 175
- Biotechnology 65
Countries citing papers authored by Kaoru Umeda
This map shows the geographic impact of Kaoru Umeda'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 Umeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Umeda more than expected).
Fields of papers citing papers by Kaoru Umeda
This network shows the impact of papers produced by Kaoru Umeda. 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 Umeda. The network helps show where Kaoru Umeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Umeda, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2009 | 69 | |
| 3 | 2017 | 66 | |
| 4 | 2014 | 60 | |
| 5 | 2009 | 48 | |
| 6 | 2021 | 30 | |
| 7 | 2019 | 24 | |
| 8 | 2014 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2013 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2014 | 15 | |
| 13 | 2010 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2016 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2019 | 10 |
About Kaoru Umeda
Kaoru Umeda is a scholar working on Endocrinology, Molecular Medicine, Neurology, Hepatology and Epidemiology, having authored 51 papers that have together received 671 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (9 papers), Diphtheria, Corynebacterium, and Tetanus (7 papers), Streptococcal Infections and Treatments (6 papers), Antibiotic Resistance in Bacteria (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Mycobacterium research and diagnosis (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Endocrinology (127 citations), Molecular Medicine (64 citations), Neurology (179 citations), Infectious Diseases (175 citations) and Biotechnology (65 citations). Kaoru Umeda has collaborated with scholars based in Japan, Albania and Laos. Frequent co-authors include Tomoko Kohda, Shunji Kozaki, Hiromi K. Nakamura, Masafumi Mukamoto, Kaori Yamamoto, Jun Ogasawara, Atsushi Hase, Yoshiyuki Seto, Takayuki Wada and Hideyuki Yamamoto. Their work appears in journals such as International Journal of Food Microbiology, Infection Genetics and Evolution, PLoS ONE, Veterinary Microbiology and Clinical Genetics.
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.