William D. Tolbert
Impact in
- Virology top 2%
- HIV Research and Treatment
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
- Virology 30
- HIV Research and Treatment 30
- Immunology 23
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 5
- Co-authors
- Marzena Pazgier (45 shared papers)H. Eric Xu (4 shared papers)Neelakshi Gohain (14 shared papers)S.E. Ealick (4 shared papers)Andrés Finzi (23 shared papers)George K. Lewis (11 shared papers)J.L. Ekstrom (3 shared papers)Anthony E. Pegg (3 shared papers)
- Journals
- Journal of Virology (12 papers)Frontiers in Immunology (5 papers)Structure (4 papers)mBio (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
William D. Tolbert
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Virology 376
- Microbiology 119
- Immunology 304
- Hepatology 86
- Biochemistry 83
Countries citing papers authored by William D. Tolbert
This map shows the geographic impact of William D. Tolbert'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 William D. Tolbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Tolbert more than expected).
Fields of papers citing papers by William D. Tolbert
This network shows the impact of papers produced by William D. Tolbert. 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 William D. Tolbert. The network helps show where William D. Tolbert may publish in the future.
Co-authors
The 25 scholars most cited alongside William D. Tolbert, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 107 | |
| 2 | 2007 | 93 | |
| 3 | 2014 | 83 | |
| 4 | 2010 | 66 | |
| 5 | 2018 | 66 | |
| 6 | 2018 | 63 | |
| 7 | 2001 | 52 | |
| 8 | 2018 | 48 | |
| 9 | 2015 | 47 | |
| 10 | 2001 | 45 | |
| 11 | 2007 | 44 | |
| 12 | 2016 | 43 | |
| 13 | 2018 | 39 | |
| 14 | 2015 | 38 | |
| 15 | 2003 | 37 | |
| 16 | 2003 | 32 | |
| 17 | 2016 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2019 | 28 | |
| 20 | 2019 | 27 |
About William D. Tolbert
William D. Tolbert is a scholar working on Virology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Immune Cell Function and Interaction (14 papers), HIV/AIDS drug development and treatment (10 papers), T-cell and B-cell Immunology (5 papers), Antimicrobial Peptides and Activities (5 papers), Enzyme Structure and Function (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Virology (376 citations), Microbiology (119 citations), Immunology (304 citations), Hepatology (86 citations) and Biochemistry (83 citations). William D. Tolbert has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Marzena Pazgier, H. Eric Xu, Neelakshi Gohain, S.E. Ealick, Andrés Finzi, George K. Lewis, J.L. Ekstrom, Anthony E. Pegg, Kelly Suino-Powell and George Vande Woude. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Structure, mBio 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.