Mark Dybul
Impact in
- Virology top 2%
- HIV Research and Treatment
-
- Antibiotic Use and Resistance
Papers in
-
- HIV/AIDS drug development and treatment 4
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- Anthony S. Fauci (4 shared papers)A. Rubbert (2 shared papers)Drew Weissman (1 shared paper)Ronald L. Rabin (1 shared paper)Joshua Μ. Farber (1 shared paper)Sundararajan Venkatesan (1 shared paper)Ruth Swofford (1 shared paper)James Arthos (1 shared paper)
- Journals
- The Lancet (3 papers)Journal of Virology (1 paper)Nature (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)BMJ (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mark Dybul
12 papers receiving 639 citations
Mark Dybul's Hit Papers
Peers
Comparison fields: 5 of 89
- Virology 334
- Applied Microbiology and Biotechnology 36
- Immunology 239
- Infectious Diseases 199
- Molecular Medicine 21
Countries citing papers authored by Mark Dybul
This map shows the geographic impact of Mark Dybul'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 Mark Dybul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dybul more than expected).
Fields of papers citing papers by Mark Dybul
This network shows the impact of papers produced by Mark Dybul. 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 Mark Dybul. The network helps show where Mark Dybul may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Dybul, 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 | Macrophage-tropic HIV and SIV envelope proteins induce a signal through the CCR5 chemokine receptor Hit paper breakdown → | 1997 | 306 |
| 2 | 2018 | 84 | |
| 3 | 2009 | 52 | |
| 4 | 2020 | 51 | |
| 5 | 2004 | 44 | |
| 6 | 2003 | 35 | |
| 7 | 2009 | 28 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 15 | |
| 10 | Reshaping Global Health | 2012 | 13 |
| 11 | 1998 | 11 | |
| 12 | 2022 | 2 |
About Mark Dybul
Mark Dybul is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Immunology and Modeling and Simulation, having authored 12 papers that have together received 657 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers), Global Health and Surgery (2 papers), COVID-19 epidemiological studies (2 papers), Global Public Health Policies and Epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), Antibiotic Use and Resistance (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Virology (334 citations), Applied Microbiology and Biotechnology (36 citations), Immunology (239 citations), Infectious Diseases (199 citations) and Molecular Medicine (21 citations). Mark Dybul has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Anthony S. Fauci, A. Rubbert, Drew Weissman, Ronald L. Rabin, Joshua Μ. Farber, Sundararajan Venkatesan, Ruth Swofford, James Arthos, Michel D. Kazatchkine and Julian Lob‐Levyt. Their work appears in journals such as The Lancet, Journal of Virology, Nature, American Journal of Tropical Medicine and Hygiene and BMJ.
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.