Atsushi Nagai
- Pulmonary and Respiratory Medicine top 0.5%
- Physiology top 0.5%
- Molecular Biology top 2%
- Immunology top 2%
- Epidemiology top 2%
- Co-authors
- Kazutetsu AoshibaSeung Up KimJun TamaokiTakao TsujiShotai KobayashiNaoko YokohoriShuhei YamaguchiMitsuko Kondo
- Topics
- Asthma and respiratory diseases (47 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (34 papers)Respiratory and Cough-Related Research (28 papers)
- Journals
- The LancetGenes & DevelopmentSHILAP Revista de lepidopterología
- Partner nations
- JapanCanadaSouth Korea
In The Last Decade
Atsushi Nagai
383 papers receiving 11.9k citations
Peers
Comparison fields: 5 of 167
- Pulmonary and Respiratory Medicine 3.8k
- Physiology 2.8k
- Molecular Biology 2.6k
- Immunology 1.4k
- Epidemiology 1.2k
Countries citing papers authored by Atsushi Nagai
This map shows the geographic impact of Atsushi 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 Atsushi Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Nagai more than expected).
Fields of papers citing papers by Atsushi Nagai
This network shows the impact of papers produced by Atsushi 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 Atsushi Nagai. The network helps show where Atsushi Nagai may publish in the future.
Co-authorship network of co-authors of Atsushi Nagai
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Nagai. A scholar is included among the top collaborators of Atsushi 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 Atsushi Nagai. Atsushi 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | [Effect and action mechanism of short-term administration of clarithromycin for airway hypersecretion]. | 2 |
| 15 | 6 | |
| 16 | 97 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | Tumor rejection mediated by an amphotropic murine leukemia virus. | 6 |
About Atsushi Nagai
Atsushi Nagai is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Periodontics, having authored 401 papers that have together received 12.3k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (47 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (34 papers) and Respiratory and Cough-Related Research (28 papers). The work is most often cited by research in Neurology (1.2k citations), Pulmonary and Respiratory Medicine (3.8k citations) and Physiology (2.8k citations). Atsushi Nagai has collaborated with scholars based in Japan, Canada and South Korea. Frequent co-authors include Kazutetsu Aoshiba, Seung Up Kim, Jun Tamaoki, Takao Tsuji, Shotai Kobayashi, Naoko Yokohori, Shuhei Yamaguchi, Mitsuko Kondo, Abdullah Md. Sheikh and Kozo Hatori. Their work appears in journals such as The Lancet, Genes & Development and SHILAP Revista de lepidopterología.
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.