Joko Imai
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Oncology
- Epidemiology
- Co-authors
- Yorio HinumaMikio IkedaHaruko KomodaTsutomu YoshidaToshio MatsuiTakato KatsukiKazuo SugamuraKensuke Saito
- Topics
- T-cell and Retrovirus Studies (20 papers)Animal Disease Management and Epidemiology (18 papers)Vector-Borne Animal Diseases (16 papers)
- Partner nations
- JapanChilePapua New Guinea
In The Last Decade
Joko Imai
25 papers receiving 591 citations
Peers
Comparison fields: 5 of 49
- Immunology 507
- Agronomy and Crop Science 417
- Ecology, Evolution, Behavior and Systematics 363
- Oncology 59
- Epidemiology 37
Countries citing papers authored by Joko Imai
This map shows the geographic impact of Joko Imai'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 Joko Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joko Imai more than expected).
Fields of papers citing papers by Joko Imai
This network shows the impact of papers produced by Joko Imai. 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 Joko Imai. The network helps show where Joko Imai may publish in the future.
Co-authorship network of co-authors of Joko Imai
This figure shows the co-authorship network connecting the top 25 collaborators of Joko Imai. A scholar is included among the top collaborators of Joko Imai 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 Joko Imai. Joko Imai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 26 | |
| 3 | 33 | |
| 4 | [Preliminary study of HTLV-I seroprevalence in Chilean Indian populations]. | 7 |
| 5 | 11 | |
| 6 | 42 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 21 | |
| 10 | 7 | |
| 11 | Immune suppression in healthy carriers of adult T-cell leukemia retrovirus (HTLV-I): impairment of T-cell control of Epstein-Barr virus-infected B-cells. | 39 |
| 12 | Seroepidemiology of the human retrovirus (HTLV/ATLV) in Okinawa where adult T-cell leukemia is highly endemic. | 19 |
| 13 | 2 | |
| 14 | 84 | |
| 15 | 9 | |
| 16 | 20 | |
| 17 | 29 | |
| 18 | 2) ELECTROCARDIOGRAPHIC FINDINGS IN EXPERIMENTAL MYOCARDITIS : a) ENCEPHALOMYOCARDITIS VIRUS MYOCARDITIS IN MICE b) COXSACKIE B_1 VIRUS MYOCARDITIS IN GOLDEN HAMSTERS | 2 |
| 19 | 7 | |
| 20 | Studies on the antigenic differences between influenza type A2 virus strains. | 1 |
About Joko Imai
Joko Imai is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 613 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (20 papers), Animal Disease Management and Epidemiology (18 papers) and Vector-Borne Animal Diseases (16 papers). The work is most often cited by research in Agronomy and Crop Science (417 citations), Immunology (507 citations) and Ecology, Evolution, Behavior and Systematics (363 citations). Joko Imai has collaborated with scholars based in Japan, Chile and Papua New Guinea. Frequent co-authors include Yorio Hinuma, Mikio Ikeda, Haruko Komoda, Tsutomu Yoshida, Toshio Matsui, Takato Katsuki, Kazuo Sugamura, Kensuke Saito, Takenori Toyama and Yukio Ando. Their work appears in journals such as Cancer, The Journal of Infectious Diseases and International Journal of Cancer.
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.