Jun Hirai
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 33
- Pneumonia and Respiratory Infections 13
- Pneumocystis jirovecii pneumonia detection and treatment 6
-
- Antimicrobial Resistance in Staphylococcus 8
- Clostridium difficile and Clostridium perfringens research 6
- Co-authors
- Mao Hagihara (49 shared papers)Yuka Yamagishi (38 shared papers)Hideo Kato (40 shared papers)Daisuke Sakanashi (34 shared papers)Hiroshige Mikamo (41 shared papers)Hiroshige Mikamo (25 shared papers)Hiroyuki Suematsu (23 shared papers)Nobuhiro Asai (41 shared papers)
- Journals
- Antibiotics (11 papers)Infection and Drug Resistance (9 papers)Journal of Infection and Chemotherapy (22 papers)BMC Infectious Diseases (2 papers)Heliyon (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Jun Hirai
75 papers receiving 636 citations
Peers
Comparison fields: 5 of 92
- Applied Microbiology and Biotechnology 43
- Molecular Medicine 100
- Clinical Biochemistry 48
- Infectious Diseases 127
- Endocrinology 33
Countries citing papers authored by Jun Hirai
This map shows the geographic impact of Jun Hirai'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 Jun Hirai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hirai more than expected).
Fields of papers citing papers by Jun Hirai
This network shows the impact of papers produced by Jun Hirai. 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 Jun Hirai. The network helps show where Jun Hirai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hirai, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2017 | 46 | |
| 3 | 2017 | 36 | |
| 4 | 2022 | 33 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2016 | 20 | |
| 12 | 2015 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2023 | 12 |
About Jun Hirai
Jun Hirai is a scholar working on Epidemiology, Infectious Diseases, Surgery, Pharmacology and Clinical Biochemistry, having authored 86 papers that have together received 651 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (13 papers), Antibiotic Resistance in Bacteria (11 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Streptococcal Infections and Treatments (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (43 citations), Molecular Medicine (100 citations), Clinical Biochemistry (48 citations), Infectious Diseases (127 citations) and Endocrinology (33 citations). Jun Hirai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mao Hagihara, Yuka Yamagishi, Hideo Kato, Daisuke Sakanashi, Hiroshige Mikamo, Hiroshige Mikamo, Hiroyuki Suematsu, Nobuhiro Asai, Yusuke Koizumi and Naoya Nishiyama. Their work appears in journals such as Antibiotics, Infection and Drug Resistance, Journal of Infection and Chemotherapy, BMC Infectious Diseases and Heliyon.
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.