Willys K. Silvers
Impact in
- Cell Biology top 0.5%
- melanin and skin pigmentation
- Transplantation top 2%
Papers in
- Immunology 56
- Immunotherapy and Immune Responses 32
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 12
- Co-authors
- R. E. BillinghamDavid L. GasserDarcy B. WilsonBeatrice MintzClement L. MarkertClyde F. BarkerStephen S. WachtelAli Naji
- Journals
- Transplantation (27 papers)Science (13 papers)Journal of Experimental Zoology (10 papers)The Journal of Experimental Medicine (8 papers)The Journal of Immunology (8 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Willys K. Silvers
145 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cell Biology 1.4k
- Transplantation 192
- Immunology 1.5k
- Dermatology 486
- Genetics 1.2k
Countries citing papers authored by Willys K. Silvers
This map shows the geographic impact of Willys K. Silvers'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 Willys K. Silvers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willys K. Silvers more than expected).
Fields of papers citing papers by Willys K. Silvers
This network shows the impact of papers produced by Willys K. Silvers. 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 Willys K. Silvers. The network helps show where Willys K. Silvers may publish in the future.
Co-authors
The 25 scholars most cited alongside Willys K. Silvers, 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 | 2004 | 1 | |
| 2 | 1994 | 22 | |
| 3 | 1993 | 12 | |
| 4 | 1993 | 3 | |
| 5 | 1992 | 6 | |
| 6 | 1991 | 7 | |
| 7 | 1991 | 4 | |
| 8 | 1989 | 23 | |
| 9 | 1988 | 3 | |
| 10 | 1987 | 5 | |
| 11 | The coat colours of mice. A model for mammalian gene action and interaction. | 1979 | 349 |
| 12 | Handbook of genetics, vol. 4: Vertebrates of genetic interest | 1976 | 4 |
| 13 | 1971 | 18 | |
| 14 | 1970 | 29 | |
| 15 | 1969 | 11 | |
| 16 | 1967 | 150 | |
| 17 | 1963 | 52 | |
| 18 | 1963 | 50 | |
| 19 | 1963 | 82 | |
| 20 | Transplantation of tissues and cells | 1961 | 127 |
About Willys K. Silvers
Willys K. Silvers is a scholar working on Transplantation, Immunology, Cell Biology, Genetics and Neurology, having authored 146 papers that have together received 5.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (32 papers), RNA Interference and Gene Delivery (23 papers), melanin and skin pigmentation (21 papers), T-cell and B-cell Immunology (16 papers), Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (12 papers), Immune Cell Function and Interaction (12 papers) and Xenotransplantation and immune response (12 papers). The work is most often cited by research in Cell Biology (1.4k citations), Transplantation (192 citations), Immunology (1.5k citations), Dermatology (486 citations) and Genetics (1.2k citations). Willys K. Silvers has collaborated with scholars based in United States, China and Japan. Frequent co-authors include R. E. Billingham, David L. Gasser, Darcy B. Wilson, Beatrice Mintz, Clement L. Markert, Clyde F. Barker, Stephen S. Wachtel, Ali Naji, Elizabeth S. Russell and Andrew Zalewski. Their work appears in journals such as Transplantation, Science, Journal of Experimental Zoology, The Journal of Experimental Medicine 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.