Yui Kimura
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Tadashi Miyamoto (7 shared papers)Masahisa Watarai (5 shared papers)Kazuki Harada (6 shared papers)Takae Shimizu (5 shared papers)Yuzo Tsuyuki (5 shared papers)Takashi Shimizu (3 shared papers)Masato Tachibana (3 shared papers)Yutaka Tamura (3 shared papers)
- Journals
- Neuro-Oncology (2 papers)Human Cell (1 paper)Infection and Immunity (1 paper)Gastrointestinal Endoscopy (1 paper)Leukemia (1 paper)
- Partner nations
- JapanSouth KoreaUnited Kingdom
In The Last Decade
Yui Kimura
20 papers receiving 455 citations
Peers
Comparison fields: 5 of 52
- Molecular Medicine 154
- Endocrinology 92
- Microbiology 57
- Hematology 91
- Applied Microbiology and Biotechnology 9
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 | 85 | |
| 2 | 2010 | 74 | |
| 3 | 2014 | 71 | |
| 4 | 2015 | 45 | |
| 5 | 2017 | 40 | |
| 6 | 2006 | 36 | |
| 7 | 2012 | 22 | |
| 8 | 2017 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 15 | |
| 11 | 2013 | 12 | |
| 12 | 2017 | 9 | |
| 13 | 2019 | 6 | |
| 14 | 2014 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2018 | 1 |
About Yui Kimura
Yui Kimura is a scholar working on Epidemiology, Molecular Medicine, Endocrinology, Molecular Biology and Genetics, having authored 23 papers that have together received 467 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Gastric Cancer Management and Outcomes (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Molecular Medicine (154 citations), Endocrinology (92 citations), Microbiology (57 citations), Hematology (91 citations) and Applied Microbiology and Biotechnology (9 citations). Yui Kimura has collaborated with scholars based in Japan, South Korea and United Kingdom. Frequent co-authors include Tadashi Miyamoto, Masahisa Watarai, Kazuki Harada, Takae Shimizu, Yuzo Tsuyuki, Takashi Shimizu, Masato Tachibana, Yutaka Tamura, Masaru Usui and Tomomi Sato. Their work appears in journals such as Neuro-Oncology, Human Cell, Infection and Immunity, Gastrointestinal Endoscopy and Leukemia.
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.