Yukio Nagai
- Epidemiology
- Infectious Diseases top 10%
- Cardiology and Cardiovascular Medicine
- Plant Science
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Shoichi KawanoHidekazu NishimuraKatsumi MizutaTsutomu ItagakiNoriko KatsushimaYoko MatsuzakiMichiko OkamotoSetsuko Kitaoka
- Topics
- Respiratory viral infections research (7 papers)Viral gastroenteritis research and epidemiology (5 papers)Garlic and Onion Studies (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Yukio Nagai
16 papers receiving 470 citations
Peers
Comparison fields: 5 of 63
- Epidemiology 216
- Infectious Diseases 142
- Cardiology and Cardiovascular Medicine 138
- Plant Science 124
- Ecology, Evolution, Behavior and Systematics 117
Countries citing papers authored by Yukio Nagai
This map shows the geographic impact of Yukio 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 Yukio Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Nagai more than expected).
Fields of papers citing papers by Yukio Nagai
This network shows the impact of papers produced by Yukio 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 Yukio Nagai. The network helps show where Yukio Nagai may publish in the future.
Co-authorship network of co-authors of Yukio Nagai
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Nagai. A scholar is included among the top collaborators of Yukio 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 Yukio Nagai. Yukio 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 | 10 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 128 | |
| 6 | 16 | |
| 7 | 30 | |
| 8 | 130 | |
| 9 | Assessment of efficacy of a live oral poliovirus vaccine for virulent Sabin-like poliovirus 1 strains in Japan. | 3 |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 22 | |
| 15 | An easy quantitative cytotoxicity assay using a Coulter Counter. | 1 |
| 16 | The Productive and Reproductive Biology of Flowering Plants : III. Life History Strategies of Two Races of Allium Schoenoprasum L. in Japan | 1 |
| 17 | 113 |
About Yukio Nagai
Yukio Nagai is a scholar working on Infectious Diseases, Forestry and Ecological Modeling, having authored 17 papers that have together received 511 indexed citations. Recurring topics across this work include Respiratory viral infections research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Garlic and Onion Studies (3 papers). The work is most often cited by research in Infectious Diseases (142 citations), Nature and Landscape Conservation (93 citations) and Epidemiology (216 citations). Yukio Nagai has collaborated with scholars based in Japan and United States. Frequent co-authors include Shoichi Kawano, Hidekazu Nishimura, Katsumi Mizuta, Tsutomu Itagaki, Noriko Katsushima, Yoko Matsuzaki, Michiko Okamoto, Setsuko Kitaoka, Michiyo Sakamoto and Makoto Shoji. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.
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.