Wayne M. Yokoyama
- Immunology top 0.01%
- Immune Cell Function and Interaction 200
- T-cell and B-cell Immunology 148
- Reproductive System and Pregnancy 37
- Immunotherapy and Immune Responses 26
- IL-33, ST2, and ILC Pathways 19
- Oncology top 0.2%
- CAR-T cell therapy research 25
- Virology top 1%
- Hematology top 0.5%
- Epidemiology top 0.5%
- Cytomegalovirus and herpesvirus research 48
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- Monoclonal and Polyclonal Antibodies Research 15
- Co-authors
- Sung‐Jin KimAnthony R. FrenchLiping YangBéatrice Plougastel-DouglasDorothy K. SojkaFranz KarlhoferAnthony A. ScalzoMarco Colonna
- Cited by
- ImmunologyOncologyVirology
- Journals
- Nature (5 papers)Science (5 papers)Proceedings of the National Academy of Sciences (24 papers)
- 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
- Virology 752
- Hematology 1.7k
- Epidemiology 4.2k
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
The 25 scholars most cited alongside Wayne M. Yokoyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 14 | |
| 3 | Highly expanded clones representing different lymphocyte lineages are present in individual patients with granulomatous uveitis | 2020 | 1 |
| 4 | 2019 | 28 | |
| 5 | 2018 | 7 | |
| 6 | 2018 | 61 | |
| 7 | 2015 | 222 | |
| 8 | 2013 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 148 | |
| 12 | Cytokine-induced memory-like natural killer cellsbreakdown → | 2009 | 618 |
| 13 | 2007 | 54 | |
| 14 | 2005 | 261 | |
| 15 | 2005 | 34 | |
| 16 | 2004 | 103 | |
| 17 | 2004 | 113 | |
| 18 | 2003 | 152 | |
| 19 | 2003 | 280 | |
| 20 | Recognition of a virus-encoded ligand by a natural killer cell activation receptorbreakdown → | 2002 | 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), Cytomegalovirus and herpesvirus research (48 papers), Reproductive System and Pregnancy (37 papers), Immunotherapy and Immune Responses (26 papers), CAR-T cell therapy research (25 papers), IL-33, ST2, and ILC Pathways (19 papers) and Monoclonal and Polyclonal Antibodies Research (15 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.