Naoki Uno
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 14
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 8
- Endocrinology top 10%
- Enterobacteriaceae and Cronobacter Research 4
- Infectious Diseases top 10%
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- T-cell and Retrovirus Studies 7
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- Pneumonia and Respiratory Infections 7
- Influenza Virus Research Studies 4
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- Antibiotics Pharmacokinetics and Efficacy 7
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- Vector-Borne Animal Diseases 6
- Co-authors
- Katsunori YanagiharaHiroo HasegawaYoshitomo MorinagaNorihito KakuKosuke KosaiKoichi IzumikawaZiyue LiChangchun Liu
- Journals
- Cancer Science (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Naoki Uno
49 papers receiving 554 citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 151
- Applied Microbiology and Biotechnology 35
- Clinical Biochemistry 83
- Endocrinology 51
- Infectious Diseases 124
Countries citing papers authored by Naoki Uno
This map shows the geographic impact of Naoki Uno'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 Naoki Uno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Uno more than expected).
Fields of papers citing papers by Naoki Uno
This network shows the impact of papers produced by Naoki Uno. 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 Naoki Uno. The network helps show where Naoki Uno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoki Uno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 44 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 14 | |
| 16 | 2014 | 20 | |
| 17 | 2014 | 2 | |
| 18 | 2012 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2003 | 7 |
About Naoki Uno
Naoki Uno is a scholar working on Molecular Medicine, Endocrinology, Clinical Biochemistry, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 50 papers that have together received 567 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (8 papers), T-cell and Retrovirus Studies (7 papers), Pneumonia and Respiratory Infections (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Vector-Borne Animal Diseases (6 papers), Influenza Virus Research Studies (4 papers) and Enterobacteriaceae and Cronobacter Research (4 papers). The work is most often cited by research in Molecular Medicine (151 citations), Applied Microbiology and Biotechnology (35 citations), Clinical Biochemistry (83 citations), Endocrinology (51 citations) and Infectious Diseases (124 citations). Naoki Uno has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Katsunori Yanagihara, Hiroo Hasegawa, Yoshitomo Morinaga, Norihito Kaku, Kosuke Kosai, Koichi Izumikawa, Ziyue Li, Changchun Liu, Taiga Miyazaki and Lori Avery. Their work appears in journals such as Cancer Science, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, Journal of Microbiological Methods and PLoS ONE.
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.