Lee Silverman
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Immunology top 10%
- T-cell and Retrovirus Studies
Papers in
-
- T-cell and Retrovirus Studies 6
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Michael D. Lairmore (6 shared papers)Lee Ratner (4 shared papers)Andrew J. Phipps (3 shared papers)Mengkun Zhang (2 shared papers)Stephen G. Stroud (2 shared papers)Deborah R. Wysong (2 shared papers)Jessica J. Huck (2 shared papers)Christopher F. Claiborne (2 shared papers)
- Journals
- Blood (8 papers)Veterinary Pathology (3 papers)Toxicologic Pathology (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Lee Silverman
28 papers receiving 806 citations
Peers
Comparison fields: 5 of 74
- Agronomy and Crop Science 172
- Immunology 248
- Cell Biology 200
- Hematology 99
- Ecology, Evolution, Behavior and Systematics 161
Countries citing papers authored by Lee Silverman
This map shows the geographic impact of Lee Silverman'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 Lee Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Silverman more than expected).
Fields of papers citing papers by Lee Silverman
This network shows the impact of papers produced by Lee Silverman. 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 Lee Silverman. The network helps show where Lee Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Silverman, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 253 | |
| 2 | 2010 | 83 | |
| 3 | 2004 | 70 | |
| 4 | 2005 | 54 | |
| 5 | 2011 | 52 | |
| 6 | 2003 | 50 | |
| 7 | 2018 | 41 | |
| 8 | 2016 | 33 | |
| 9 | 2007 | 32 | |
| 10 | 2004 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2010 | 15 | |
| 15 | 2004 | 14 | |
| 16 | MLN8237: an orally active small molecule inhibitor of Aurora A kinase in phase I clinical trials | 2008 | 14 |
| 17 | 2005 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 1999 | 8 | |
| 20 | 2008 | 7 |
About Lee Silverman
Lee Silverman is a scholar working on Immunology, Hematology, Cell Biology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 28 papers that have together received 831 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (6 papers), Vector-Borne Animal Diseases (5 papers), Microtubule and mitosis dynamics (4 papers), Cancer Treatment and Pharmacology (4 papers), Animal Disease Management and Epidemiology (4 papers), Multiple Myeloma Research and Treatments (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Agronomy and Crop Science (172 citations), Immunology (248 citations), Cell Biology (200 citations), Hematology (99 citations) and Ecology, Evolution, Behavior and Systematics (161 citations). Lee Silverman has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Michael D. Lairmore, Lee Ratner, Andrew J. Phipps, Mengkun Zhang, Stephen G. Stroud, Deborah R. Wysong, Jessica J. Huck, Christopher F. Claiborne, Todd B. Sells and David A. Janowick. Their work appears in journals such as Blood, Veterinary Pathology, Toxicologic Pathology, Molecular Cancer Therapeutics and Journal of Virology.
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.