K. Ohishi
- Immunology top 5%
- Agronomy and Crop Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Yoji IkawaTeruo YasunagaNoriaki SagataYoshihiro OgawaMisao OnumaNoboru MachidaEiji KandaTakashi Nakamura
- Topics
- T-cell and Retrovirus Studies (5 papers)Animal Disease Management and Epidemiology (5 papers)Vector-Borne Animal Diseases (3 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
K. Ohishi
11 papers receiving 552 citations
Peers
Comparison fields: 5 of 52
- Immunology 442
- Agronomy and Crop Science 375
- Ecology, Evolution, Behavior and Systematics 300
- Molecular Biology 108
- Epidemiology 70
Countries citing papers authored by K. Ohishi
This map shows the geographic impact of K. Ohishi'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 K. Ohishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Ohishi more than expected).
Fields of papers citing papers by K. Ohishi
This network shows the impact of papers produced by K. Ohishi. 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 K. Ohishi. The network helps show where K. Ohishi may publish in the future.
Co-authorship network of co-authors of K. Ohishi
This figure shows the co-authorship network connecting the top 25 collaborators of K. Ohishi. A scholar is included among the top collaborators of K. Ohishi 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 K. Ohishi. K. Ohishi 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 | 20 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | Peptide-based bovine leukemia virus (BLV) vaccine that induces BLV-Env specific Th-1 type immunity. | 17 |
| 7 | Role of cell-mediated immunity in bovine leukemia virus (BLV) infection in ruminants: its implication for the vaccination strategy against retroviruses. | 10 |
| 8 | 35 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | [Survey on the actual condition of alcoholics in a satellite city (Takatsuki City) and a follow-up study--in relation to a community support system]. | 4 |
| 12 | 404 | |
| 13 | 58 |
About K. Ohishi
K. Ohishi is a scholar working on Agronomy and Crop Science, Immunology and Small Animals, having authored 13 papers that have together received 592 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (375 citations), Immunology (442 citations) and Ecology, Evolution, Behavior and Systematics (300 citations). K. Ohishi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yoji Ikawa, Teruo Yasunaga, Noriaki Sagata, Yoshihiro Ogawa, Misao Onuma, Noboru Machida, Eiji Kanda, Takashi Nakamura, K. Kiryu and T. Barrett. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Journal of Immunology.
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.