Hideaki Nagai
- Epidemiology top 5%
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Small Animals top 2%
- Co-authors
- Atsuhisa TamuraAtsuyuki KurashimaHirotoshi MatsuiHarumi ShishidoKen OhtaRyozo YonedaEriko YamaguchiMasahiro Kawashima
- Topics
- Tuberculosis Research and Epidemiology (52 papers)Mycobacterium research and diagnosis (35 papers)Infectious Diseases and Tuberculosis (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
Hideaki Nagai
124 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Epidemiology 965
- Infectious Diseases 763
- Pulmonary and Respiratory Medicine 359
- Surgery 351
- Small Animals 201
Countries citing papers authored by Hideaki Nagai
This map shows the geographic impact of Hideaki Nagai'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 Hideaki Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Nagai more than expected).
Fields of papers citing papers by Hideaki Nagai
This network shows the impact of papers produced by Hideaki Nagai. 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 Hideaki Nagai. The network helps show where Hideaki Nagai may publish in the future.
Co-authorship network of co-authors of Hideaki Nagai
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Nagai. A scholar is included among the top collaborators of Hideaki Nagai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideaki Nagai. Hideaki Nagai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 43 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 30 | |
| 16 | 131 | |
| 17 | 12 | |
| 18 | 10 | |
| 19 | [Drug-induced hepatotoxicity caused by anti-tuberculosis drugs in tuberculosis patients complicated with chronic hepatitis]. | 16 |
| 20 | [Secular increase in the incidence rate of drug-induced hepatitis due to anti-tuberculosis chemotherapy including isoniazid and rifampicin]. | 2 |
About Hideaki Nagai
Hideaki Nagai is a scholar working on Infectious Diseases, Epidemiology and Small Animals, having authored 125 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (35 papers) and Infectious Diseases and Tuberculosis (21 papers). The work is most often cited by research in Infectious Diseases (763 citations), Epidemiology (965 citations) and Small Animals (201 citations). Hideaki Nagai has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Atsuhisa Tamura, Atsuyuki Kurashima, Hirotoshi Matsui, Harumi Shishido, Ken Ohta, Ryozo Yoneda, Eriko Yamaguchi, Masahiro Kawashima, Eisuke Matsushima and Junko Suzuki. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.