Masateru Kohakura
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Oncology
- Hematology
- Co-authors
- Yorio HinumaHaruko KomodaT TakenakaMasahiro KikuchiHaruto UchinoToru ChosaToshifumi KondoK. Yunoki
- Topics
- T-cell and Retrovirus Studies (4 papers)Animal Disease Management and Epidemiology (3 papers)Vector-Borne Animal Diseases (3 papers)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Masateru Kohakura
6 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Immunology 602
- Agronomy and Crop Science 481
- Ecology, Evolution, Behavior and Systematics 445
- Oncology 41
- Hematology 38
Countries citing papers authored by Masateru Kohakura
This map shows the geographic impact of Masateru Kohakura'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 Masateru Kohakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masateru Kohakura more than expected).
Fields of papers citing papers by Masateru Kohakura
This network shows the impact of papers produced by Masateru Kohakura. 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 Masateru Kohakura. The network helps show where Masateru Kohakura may publish in the future.
Co-authorship network of co-authors of Masateru Kohakura
This figure shows the co-authorship network connecting the top 25 collaborators of Masateru Kohakura. A scholar is included among the top collaborators of Masateru Kohakura 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 Masateru Kohakura. Masateru Kohakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Epidemiological aspects of Strongyloides stercoralis infection in Okinawa, Japan. | 13 |
| 2 | 107 | |
| 3 | Seroepidemiology of the human retrovirus (HTLV/ATLV) in Okinawa where adult T-cell leukemia is highly endemic. | 19 |
| 4 | Antibodies to adult t‐cell leukemia‐virus‐associated antigen (atla) in sera from patients with atl and controls in japan: A nation‐wide sero‐epidemiologic studybreakdown → | 490 |
| 5 | 20 | |
| 6 | 62 |
About Masateru Kohakura
Masateru Kohakura is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 6 papers that have together received 711 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (3 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (481 citations), Immunology (602 citations) and Ecology, Evolution, Behavior and Systematics (445 citations). Masateru Kohakura has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Yorio Hinuma, Haruko Komoda, T Takenaka, Masahiro Kikuchi, Haruto Uchino, Toru Chosa, Toshifumi Kondo, K. Yunoki, Isao Satō and Y Takiuchi. Their work appears in journals such as The Lancet, Hepatology 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.