Atsushi Uda
Impact in
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- Antibiotic Use and Resistance
- Geriatrics and Gerontology top 5%
- Pharmaceutical Practices and Patient Outcomes
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 5
- Pharmacy and Medical Practices 5
- Co-authors
- Ikuko Yano (16 shared papers)Kazuhiro Yamamoto (11 shared papers)Midori Hirai (9 shared papers)Tatsuya Nishioka (9 shared papers)Takayuki Miyara (12 shared papers)Manabu Kume (8 shared papers)Takeshi Kimura (9 shared papers)Hiroo Makimoto (8 shared papers)
- Journals
- Antibiotics (5 papers)Drug Metabolism and Pharmacokinetics (1 paper)Journal of Clinical Medicine (1 paper)FEBS Letters (1 paper)Chemical and Pharmaceutical Bulletin (1 paper)
- Partner nations
- JapanTaiwanUnited Kingdom
In The Last Decade
Atsushi Uda
24 papers receiving 294 citations
Peers
Comparison fields: 5 of 84
- Applied Microbiology and Biotechnology 50
- Geriatrics and Gerontology 60
- Family Practice 17
- Molecular Medicine 23
- Clinical Biochemistry 23
Countries citing papers authored by Atsushi Uda
This map shows the geographic impact of Atsushi Uda'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 Atsushi Uda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Uda more than expected).
Fields of papers citing papers by Atsushi Uda
This network shows the impact of papers produced by Atsushi Uda. 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 Atsushi Uda. The network helps show where Atsushi Uda may publish in the future.
Co-authors
The 25 scholars most cited alongside Atsushi Uda, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 54 | |
| 2 | 2016 | 39 | |
| 3 | 2014 | 27 | |
| 4 | 2021 | 17 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2016 | 5 |
About Atsushi Uda
Atsushi Uda is a scholar working on Pharmacology, Epidemiology, Molecular Biology, Pharmacology and Applied Microbiology and Biotechnology, having authored 26 papers that have together received 298 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmacy and Medical Practices (5 papers), Antibiotic Use and Resistance (5 papers), Pharmaceutical Practices and Patient Outcomes (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Melanoma and MAPK Pathways (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (50 citations), Geriatrics and Gerontology (60 citations), Family Practice (17 citations), Molecular Medicine (23 citations) and Clinical Biochemistry (23 citations). Atsushi Uda has collaborated with scholars based in Japan, Taiwan and United Kingdom. Frequent co-authors include Ikuko Yano, Kazuhiro Yamamoto, Midori Hirai, Tatsuya Nishioka, Takayuki Miyara, Manabu Kume, Takeshi Kimura, Hiroo Makimoto, Kayo Osawa and Kazuhiko Yamashita. Their work appears in journals such as Antibiotics, Drug Metabolism and Pharmacokinetics, Journal of Clinical Medicine, FEBS Letters and Chemical and Pharmaceutical Bulletin.
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.