Thomas E. Smithgall
- Virology top 0.5%
- HIV Research and Treatment 45
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 30
- Immunology top 2%
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 20
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 43
- Protein Structure and Dynamics 17
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- HIV/AIDS drug development and treatment 34
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- Chronic Lymphocytic Leukemia Research 16
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- Enzyme Structure and Function 16
- Co-authors
- John R. EngenT.M. PenningScott BriggsEdwina C. LernerLori A. Emert‐SedlakMatthew B. WilsonAnthony P. SchiavoneJerrod A. Poe
- Cited by
- VirologyHematologyImmunology
- Journals
- Journal of Biological Chemistry (38 papers)Biochemistry (16 papers)Journal of Molecular Biology (10 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Thomas E. Smithgall
172 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 125
- Virology 1.1k
- Hematology 1.1k
- Immunology 1.5k
- Oncology 1.9k
- Molecular Biology 4.3k
Countries citing papers authored by Thomas E. Smithgall
This map shows the geographic impact of Thomas E. Smithgall'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 Thomas E. Smithgall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Smithgall more than expected).
Fields of papers citing papers by Thomas E. Smithgall
This network shows the impact of papers produced by Thomas E. Smithgall. 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 Thomas E. Smithgall. The network helps show where Thomas E. Smithgall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas E. Smithgall, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 17 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2014 | 91 | |
| 7 | 2013 | 45 | |
| 8 | 2013 | 91 | |
| 9 | 2013 | 31 | |
| 10 | 2013 | 19 | |
| 11 | 2010 | 56 | |
| 12 | 2010 | 89 | |
| 13 | 2009 | 45 | |
| 14 | 2001 | 70 | |
| 15 | 1998 | 28 | |
| 16 | 1997 | 5 | |
| 17 | 1996 | 24 | |
| 18 | 1993 | 12 | |
| 19 | 1991 | 11 | |
| 20 | Spectroscopic Identification of ortho-Quinones as the Products of Polycyclic Aromatic trans-Dihydrodiol Oxidation Catalyzed by Dihydrodiol Dehydrogenase | 1987 | 26 |
About Thomas E. Smithgall
Thomas E. Smithgall is a scholar working on Virology, Hematology and Infectious Diseases, having authored 175 papers that have together received 7.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (45 papers), Protein Kinase Regulation and GTPase Signaling (43 papers), HIV/AIDS drug development and treatment (34 papers), Chronic Myeloid Leukemia Treatments (30 papers), Cytokine Signaling Pathways and Interactions (20 papers), Protein Structure and Dynamics (17 papers), Chronic Lymphocytic Leukemia Research (16 papers) and Enzyme Structure and Function (16 papers). The work is most often cited by research in Virology (1.1k citations), Hematology (1.1k citations) and Immunology (1.5k citations). Thomas E. Smithgall has collaborated with scholars based in United States, Japan and China. Frequent co-authors include John R. Engen, T.M. Penning, Scott Briggs, Edwina C. Lerner, Lori A. Emert‐Sedlak, Matthew B. Wilson, Anthony P. Schiavone, Jerrod A. Poe, Richard Jove and Mario Stevenson. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, PLoS ONE and Oncogene.
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.