Tetsuo Nakayama
- Epidemiology top 1%
- Infectious Diseases top 1%
- Immunology top 10%
- Molecular Biology
- Health top 2%
- Co-authors
- Motoko FujinoMasahiro SakaguchiS InouyeChikara AizawaTakashi UranoNaoko YoshidaHisashi KawashimaYasuyo Kashiwagi
- Topics
- Virology and Viral Diseases (90 papers)Respiratory viral infections research (67 papers)SARS-CoV-2 and COVID-19 Research (25 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Tetsuo Nakayama
192 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 117
- Epidemiology 1.8k
- Infectious Diseases 973
- Immunology 393
- Molecular Biology 325
- Health 304
Countries citing papers authored by Tetsuo Nakayama
This map shows the geographic impact of Tetsuo Nakayama'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 Tetsuo Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Nakayama more than expected).
Fields of papers citing papers by Tetsuo Nakayama
This network shows the impact of papers produced by Tetsuo Nakayama. 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 Tetsuo Nakayama. The network helps show where Tetsuo Nakayama may publish in the future.
Co-authorship network of co-authors of Tetsuo Nakayama
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Nakayama. A scholar is included among the top collaborators of Tetsuo Nakayama 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 Tetsuo Nakayama. Tetsuo Nakayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 41 | |
| 12 | A case of fulminant comeal endotheliitis without parotitis suspected of mumps virus infection | 1 |
| 13 | High immunogenicity of measles AIK-C vaccine produced in Vietnam | 4 |
| 14 | 33 | |
| 15 | 2 | |
| 16 | 35 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 0 |
About Tetsuo Nakayama
Tetsuo Nakayama is a scholar working on Epidemiology, Infectious Diseases and Microbiology, having authored 203 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virology and Viral Diseases (90 papers), Respiratory viral infections research (67 papers) and SARS-CoV-2 and COVID-19 Research (25 papers). The work is most often cited by research in Infectious Diseases (973 citations), Epidemiology (1.8k citations) and Immunology and Allergy (251 citations). Tetsuo Nakayama has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Motoko Fujino, Masahiro Sakaguchi, S Inouye, Chikara Aizawa, Takashi Urano, Naoko Yoshida, Hisashi Kawashima, Yasuyo Kashiwagi, Katsuhiro Komase and Toshiaki Ihara. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.
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.