Akio Kuga
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 6
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- Enterobacteriaceae and Cronobacter Research 4
- Vibrio bacteria research studies 1
- Co-authors
- Matsuhisa Inoue (8 shared papers)Ryoichi Okamoto (7 shared papers)Hisakazu Yano (6 shared papers)Toshimitsu Kobayashi (3 shared papers)Takashi Ida (2 shared papers)Toyoji Okubo (2 shared papers)Hidero Kitasato (2 shared papers)Masato Nonoyama (1 shared paper)
In The Last Decade
Akio Kuga
10 papers receiving 446 citations
Peers
Comparison fields: 5 of 45
- Molecular Medicine 238
- Endocrinology 79
- Clinical Biochemistry 92
- Infectious Diseases 185
- Applied Microbiology and Biotechnology 18
Countries citing papers authored by Akio Kuga
This map shows the geographic impact of Akio Kuga'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 Akio Kuga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Kuga more than expected).
Fields of papers citing papers by Akio Kuga
This network shows the impact of papers produced by Akio Kuga. 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 Akio Kuga. The network helps show where Akio Kuga may publish in the future.
Co-authors
The 18 scholars most cited alongside Akio Kuga, 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 | 2001 | 124 | |
| 2 | 2001 | 113 | |
| 3 | 1996 | 74 | |
| 4 | 2000 | 66 | |
| 5 | 2000 | 65 | |
| 6 | 1999 | 9 | |
| 7 | 1998 | 4 | |
| 8 | 2022 | 3 | |
| 9 | [Antibacterial activity of beta-lactam antibiotics against extended-spectrum beta-lactamase producing bacteria]. | 1999 | 1 |
| 10 | [In vitro antibacterial activity of prulifloxacin, a new oral quinolone, and comparative susceptibility rate at clinical breakpoint MIC]. | 2000 | 1 |
About Akio Kuga
Akio Kuga is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Infectious Diseases and Pharmacology, having authored 10 papers that have together received 460 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Bacterial Genetics and Biotechnology (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Molecular Medicine (238 citations), Endocrinology (79 citations), Clinical Biochemistry (92 citations), Infectious Diseases (185 citations) and Applied Microbiology and Biotechnology (18 citations). Akio Kuga has collaborated with scholars based in Japan, Indonesia and France. Frequent co-authors include Matsuhisa Inoue, Ryoichi Okamoto, Hisakazu Yano, Toshimitsu Kobayashi, Takashi Ida, Toyoji Okubo, Hidero Kitasato, Masato Nonoyama, Mitsuko Suetake and Kazuki Hoshino. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics, Frontiers in Microbiology and Yonsei Medical Journal.
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.