Jay E. Valinsky
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Ralph M. Steinman (3 shared papers)E. Reich (4 shared papers)Margit D. Witmer-Pack (3 shared papers)Nicole M. Le Douarin (2 shared papers)Gerold Schuler (1 shared paper)Thomas G. Easton (3 shared papers)Jay C. Unkeless (2 shared papers)Robert P. Kimberly (2 shared papers)
- Journals
- The Journal of Experimental Medicine (6 papers)Journal of Biological Chemistry (4 papers)Cell (3 papers)Transfusion (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUgandaBelgium
In The Last Decade
Jay E. Valinsky
42 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 93
- Virology 254
- Immunology 853
- Hematology 379
- Immunology and Allergy 88
- Developmental Neuroscience 50
Countries citing papers authored by Jay E. Valinsky
This map shows the geographic impact of Jay E. Valinsky'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 Jay E. Valinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay E. Valinsky more than expected).
Fields of papers citing papers by Jay E. Valinsky
This network shows the impact of papers produced by Jay E. Valinsky. 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 Jay E. Valinsky. The network helps show where Jay E. Valinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay E. Valinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 459 | |
| 2 | 1986 | 322 | |
| 3 | 1983 | 274 | |
| 4 | 1988 | 149 | |
| 5 | 1978 | 133 | |
| 6 | 1985 | 125 | |
| 7 | 1991 | 123 | |
| 8 | 1978 | 107 | |
| 9 | 1988 | 96 | |
| 10 | 1991 | 95 | |
| 11 | 1981 | 94 | |
| 12 | 1987 | 80 | |
| 13 | 1984 | 79 | |
| 14 | 1987 | 78 | |
| 15 | 1973 | 76 | |
| 16 | 1996 | 75 | |
| 17 | 1992 | 58 | |
| 18 | 1974 | 56 | |
| 19 | 1991 | 47 | |
| 20 | 1990 | 46 |
About Jay E. Valinsky
Jay E. Valinsky is a scholar working on Virology, Hematology, Immunology, Immunology and Allergy and Biophysics, having authored 44 papers that have together received 3k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Porphyrin Metabolism and Disorders (4 papers), Immunotherapy and Immune Responses (4 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Electron Spin Resonance Studies (3 papers), Protease and Inhibitor Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Virology (254 citations), Immunology (853 citations), Hematology (379 citations), Immunology and Allergy (88 citations) and Developmental Neuroscience (50 citations). Jay E. Valinsky has collaborated with scholars based in United States, Uganda and Belgium. Frequent co-authors include Ralph M. Steinman, E. Reich, Margit D. Witmer-Pack, Nicole M. Le Douarin, Gerold Schuler, Thomas G. Easton, Jay C. Unkeless, Robert P. Kimberly, Robert H. Abeles and Ralph L. Nachman. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Biological Chemistry, Cell, Transfusion 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.