Kenjiro Nagai
- Epidemiology
- Pulmonary and Respiratory Medicine
- Infectious Diseases top 10%
- Molecular Biology
- Oncology
- Co-authors
- Takeshi KanekoNobuyuki HoritaKentaro NakashimaYuji ShibataTakashi SatoHideyuki NagakuraMasaki YamamotoHiroki Watanabe
- Topics
- Tuberculosis Research and Epidemiology (6 papers)T-cell and Retrovirus Studies (4 papers)Mycobacterium research and diagnosis (4 papers)
- Partner nations
- Japan
In The Last Decade
Kenjiro Nagai
20 papers receiving 469 citations
Peers
Comparison fields: 5 of 76
- Epidemiology 210
- Pulmonary and Respiratory Medicine 160
- Infectious Diseases 131
- Molecular Biology 115
- Oncology 109
Countries citing papers authored by Kenjiro Nagai
This map shows the geographic impact of Kenjiro 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 Kenjiro Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenjiro Nagai more than expected).
Fields of papers citing papers by Kenjiro Nagai
This network shows the impact of papers produced by Kenjiro 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 Kenjiro Nagai. The network helps show where Kenjiro Nagai may publish in the future.
Co-authorship network of co-authors of Kenjiro Nagai
This figure shows the co-authorship network connecting the top 25 collaborators of Kenjiro Nagai. A scholar is included among the top collaborators of Kenjiro 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 Kenjiro Nagai. Kenjiro 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Effectiveness of Amplified Natural Killer (ANK) Therapy for Adult T-cell Leukemia/Lymphoma (ATL) and Future Prospects of ANK Therapy. | 2 |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 91 | |
| 12 | 30 | |
| 13 | 8 | |
| 14 | 40 | |
| 15 | 20 | |
| 16 | 57 | |
| 17 | 76 | |
| 18 | 73 | |
| 19 | 21 | |
| 20 | [A case of IgG4-related disease with deterioration in pulmonary and pituitary involvements during a 10-year clinical course of inflammatory pseudotumor]. | 10 |
About Kenjiro Nagai
Kenjiro Nagai is a scholar working on Epidemiology, Infectious Diseases and Immunology, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), T-cell and Retrovirus Studies (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Infectious Diseases (131 citations), Epidemiology (210 citations) and Pulmonary and Respiratory Medicine (160 citations). Kenjiro Nagai has collaborated with scholars based in Japan. Frequent co-authors include Takeshi Kaneko, Nobuyuki Horita, Kentaro Nakashima, Yuji Shibata, Takashi Sato, Hideyuki Nagakura, Masaki Yamamoto, Hiroki Watanabe, Ryota Ushio and Ken Tashiro. Their work appears in journals such as Scientific Reports, Cochrane Database of Systematic Reviews and Journal of Thoracic Oncology.
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.