Yui Kimura
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
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- Antibiotic Resistance in Bacteria 6
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- Mycobacterium research and diagnosis 2
- Co-authors
- Tadashi Miyamoto (7 shared papers)Kazuki Harada (6 shared papers)Masahisa Watarai (5 shared papers)Yuzo Tsuyuki (5 shared papers)Takae Shimizu (5 shared papers)Takashi Shimizu (3 shared papers)Masato Tachibana (3 shared papers)Tomomi Sato (3 shared papers)
- Journals
- Neuro-Oncology (2 papers)Infection and Immunity (1 paper)Journal of Medical Microbiology (1 paper)BMJ Open Ophthalmology (1 paper)International Journal of Colorectal Disease (1 paper)
- Partner nations
- JapanSouth KoreaUnited Kingdom
In The Last Decade
Yui Kimura
20 papers receiving 463 citations
Peers
Comparison fields: 5 of 51
- Molecular Medicine 152
- Endocrinology 79
- Microbiology 53
- Hematology 85
- Applied Microbiology and Biotechnology 7
Countries citing papers authored by Yui Kimura
This map shows the geographic impact of Yui Kimura'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 Yui Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yui Kimura more than expected).
Fields of papers citing papers by Yui Kimura
This network shows the impact of papers produced by Yui Kimura. 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 Yui Kimura. The network helps show where Yui Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yui Kimura, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2010 | 75 | |
| 3 | 2014 | 71 | |
| 4 | 2015 | 45 | |
| 5 | 2017 | 44 | |
| 6 | 2006 | 36 | |
| 7 | 2012 | 22 | |
| 8 | 2017 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2017 | 10 | |
| 13 | 2019 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2023 | 1 |
About Yui Kimura
Yui Kimura is a scholar working on Molecular Medicine, Epidemiology, Endocrinology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Mycobacterium research and diagnosis (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Molecular Medicine (152 citations), Endocrinology (79 citations), Microbiology (53 citations), Hematology (85 citations) and Applied Microbiology and Biotechnology (7 citations). Yui Kimura has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include Tadashi Miyamoto, Kazuki Harada, Masahisa Watarai, Yuzo Tsuyuki, Takae Shimizu, Takashi Shimizu, Masato Tachibana, Tomomi Sato, Masaru Usui and Yutaka Tamura. Their work appears in journals such as Neuro-Oncology, Infection and Immunity, Journal of Medical Microbiology, BMJ Open Ophthalmology and International Journal of Colorectal Disease.
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.