Wayne M. Yokoyama
- Immunology top 0.01%
- Oncology top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 2%
- Hematology top 0.5%
- Co-authors
- Sung‐Jin KimAnthony R. FrenchLiping YangBéatrice Plougastel-DouglasDorothy K. SojkaFranz KarlhoferAnthony A. ScalzoMarco Colonna
- Topics
- Immune Cell Function and Interaction (200 papers)T-cell and B-cell Immunology (148 papers)Cytomegalovirus and herpesvirus research (48 papers)
- Cited by
- ImmunologyOncologyVirology
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Wayne M. Yokoyama
265 papers receiving 27.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Immunology 23.3k
- Oncology 5.0k
- Epidemiology 4.2k
- Molecular Biology 3.4k
- Hematology 1.7k
Countries citing papers authored by Wayne M. Yokoyama
This map shows the geographic impact of Wayne M. Yokoyama'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 Wayne M. Yokoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne M. Yokoyama more than expected).
Fields of papers citing papers by Wayne M. Yokoyama
This network shows the impact of papers produced by Wayne M. Yokoyama. 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 Wayne M. Yokoyama. The network helps show where Wayne M. Yokoyama may publish in the future.
Co-authorship network of co-authors of Wayne M. Yokoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Wayne M. Yokoyama. A scholar is included among the top collaborators of Wayne M. Yokoyama 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 Wayne M. Yokoyama. Wayne M. Yokoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | Highly expanded clones representing different lymphocyte lineages are present in individual patients with granulomatous uveitis | 1 |
| 4 | 28 | |
| 5 | 7 | |
| 6 | 61 | |
| 7 | 222 | |
| 8 | 31 | |
| 9 | 30 | |
| 10 | 22 | |
| 11 | 148 | |
| 12 | Cytokine-induced memory-like natural killer cellsbreakdown → | 618 |
| 13 | 54 | |
| 14 | 261 | |
| 15 | 34 | |
| 16 | 103 | |
| 17 | 113 | |
| 18 | 152 | |
| 19 | 280 | |
| 20 | Recognition of a virus-encoded ligand by a natural killer cell activation receptorbreakdown → | 615 |
About Wayne M. Yokoyama
Wayne M. Yokoyama is a scholar working on Immunology, Virology and Epidemiology, having authored 268 papers that have together received 27.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (200 papers), T-cell and B-cell Immunology (148 papers) and Cytomegalovirus and herpesvirus research (48 papers). The work is most often cited by research in Immunology (23.3k citations), Oncology (5.0k citations) and Virology (752 citations). Wayne M. Yokoyama has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Sung‐Jin Kim, Anthony R. French, Liping Yang, Béatrice Plougastel-Douglas, Dorothy K. Sojka, Franz Karlhofer, Anthony A. Scalzo, Marco Colonna, Koho Iizuka and William E. Seaman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.