Hideo Kato
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 21
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 19
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 29
- Antifungal resistance and susceptibility 15
- Pharmacology top 2%
- Antibiotics Pharmacokinetics and Efficacy 34
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- Pneumonia and Respiratory Infections 30
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- Nosocomial Infections in ICU 18
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- Streptococcal Infections and Treatments 17
- Co-authors
- Mao HagiharaYuka YamagishiNobuhiro AsaiYusuke KoizumiHiroshige MikamoDaisuke SakanashiHiroyuki SuematsuMasabumi Nishikawa
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (2 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hideo Kato
227 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 151
- Applied Microbiology and Biotechnology 123
- Molecular Medicine 226
- Clinical Biochemistry 231
- Infectious Diseases 496
- Pharmacology 407
Countries citing papers authored by Hideo Kato
This map shows the geographic impact of Hideo Kato'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 Hideo Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideo Kato more than expected).
Fields of papers citing papers by Hideo Kato
This network shows the impact of papers produced by Hideo Kato. 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 Hideo Kato. The network helps show where Hideo Kato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideo Kato, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 9 | |
| 18 | 2017 | 4 | |
| 19 | 2016 | 21 | |
| 20 | 1965 | 2 |
About Hideo Kato
Hideo Kato is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 244 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (34 papers), Pneumonia and Respiratory Infections (30 papers), Antimicrobial Resistance in Staphylococcus (29 papers), Antibiotic Resistance in Bacteria (21 papers), Bacterial Identification and Susceptibility Testing (19 papers), Nosocomial Infections in ICU (18 papers), Streptococcal Infections and Treatments (17 papers) and Antifungal resistance and susceptibility (15 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (123 citations), Molecular Medicine (226 citations) and Clinical Biochemistry (231 citations). Hideo Kato has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Mao Hagihara, Yuka Yamagishi, Nobuhiro Asai, Yusuke Koizumi, Hiroshige Mikamo, Daisuke Sakanashi, Hiroyuki Suematsu, Masabumi Nishikawa, Kenji Hashimoto and Jun Hirai. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.