Kozo Yokomuro
- Immunology top 5%
- Molecular Biology
- Virology top 5%
- Oncology
- Epidemiology
- Co-authors
- Hidemi TakahashiYohko NakagawaJay A. BerzofskyAyako MabuchiKoichi IkutaJun‐ichi MiyazakiKazushige MakiHajime Karasuyama
- Topics
- Liver physiology and pathology (18 papers)Immune Cell Function and Interaction (17 papers)T-cell and B-cell Immunology (17 papers)
- Cited by
- VirologyImmunologyHepatology
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Kozo Yokomuro
51 papers receiving 944 citations
Peers
Comparison fields: 5 of 70
- Immunology 663
- Molecular Biology 185
- Virology 159
- Oncology 155
- Epidemiology 119
Countries citing papers authored by Kozo Yokomuro
This map shows the geographic impact of Kozo Yokomuro'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 Kozo Yokomuro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kozo Yokomuro more than expected).
Fields of papers citing papers by Kozo Yokomuro
This network shows the impact of papers produced by Kozo Yokomuro. 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 Kozo Yokomuro. The network helps show where Kozo Yokomuro may publish in the future.
Co-authorship network of co-authors of Kozo Yokomuro
This figure shows the co-authorship network connecting the top 25 collaborators of Kozo Yokomuro. A scholar is included among the top collaborators of Kozo Yokomuro 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 Kozo Yokomuro. Kozo Yokomuro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | Role of the liver in T cell differentiation—generation of CD3 2 CD4 1 /CD8 1 TCRb 2 cells and CD3 2 4 2 8 2 TCRb 1 cells from CD4 2 8 2 TCRb 2 athymic nude bone marrow cells by culture with parenchymal liver cells | 1 |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 50 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 119 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | Specificity of delayed hyper sensitivity and carrier effect in anti hapten immune response in guinea pigs immunized with hapten homologous carrier conjugates | 0 |
| 20 | 2 |
About Kozo Yokomuro
Kozo Yokomuro is a scholar working on Hepatology, Immunology and Virology, having authored 56 papers that have together received 971 indexed citations. Recurring topics across this work include Liver physiology and pathology (18 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (17 papers). The work is most often cited by research in Virology (159 citations), Immunology (663 citations) and Hepatology (119 citations). Kozo Yokomuro has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Hidemi Takahashi, Yohko Nakagawa, Jay A. Berzofsky, Ayako Mabuchi, Koichi Ikuta, Jun‐ichi Miyazaki, Kazushige Maki, Hajime Karasuyama, S Sunaga and Yoshinori Komagata. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.