Mark Muldoon
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- vaccines and immunoinformatics approaches 5
- Virology 15
- HIV Research and Treatment 15
- Co-authors
- Bette Korber (15 shared papers)Beatrice H. Hahn (6 shared papers)James Theiler (4 shared papers)Feng Gao (5 shared papers)Tanmoy Bhattacharya (2 shared papers)R. Gupta (1 shared paper)Steven M. Wolinsky (1 shared paper)Alan S. Lapedes (1 shared paper)
- Journals
- Nature Medicine (3 papers)Virology (3 papers)Journal of Virology (2 papers)Science (2 papers)Ophthalmic and Physiological Optics (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Mark Muldoon
54 papers receiving 2.9k citations
Mark Muldoon's Hit Papers
Peers
Comparison fields: 5 of 145
- Virology 1.7k
- Infectious Diseases 894
- Immunology 669
- Epidemiology 517
- Hepatology 99
Countries citing papers authored by Mark Muldoon
This map shows the geographic impact of Mark Muldoon'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 Muldoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Muldoon more than expected).
Fields of papers citing papers by Mark Muldoon
This network shows the impact of papers produced by Mark Muldoon. 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 Muldoon. The network helps show where Mark Muldoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Muldoon, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Timing the Ancestor of the HIV-1 Pandemic Strains Hit paper breakdown → | 2000 | 717 |
| 2 | 2004 | 485 | |
| 3 | 2010 | 296 | |
| 4 | 2010 | 196 | |
| 5 | 1997 | 167 | |
| 6 | 2003 | 130 | |
| 7 | 2006 | 118 | |
| 8 | 1992 | 77 | |
| 9 | 2007 | 73 | |
| 10 | 2008 | 67 | |
| 11 | 2014 | 64 | |
| 12 | 2006 | 63 | |
| 13 | 2006 | 60 | |
| 14 | 2001 | 58 | |
| 15 | 2018 | 40 | |
| 16 | 2012 | 39 | |
| 17 | 2000 | 36 | |
| 18 | 1998 | 32 | |
| 19 | 1993 | 31 | |
| 20 | 2016 | 30 |
About Mark Muldoon
Mark Muldoon is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Statistical and Nonlinear Physics, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Chaos control and synchronization (5 papers), T-cell and B-cell Immunology (5 papers), HIV/AIDS Research and Interventions (5 papers), vaccines and immunoinformatics approaches (5 papers), Complex Systems and Time Series Analysis (5 papers), Immune Cell Function and Interaction (4 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Virology (1.7k citations), Infectious Diseases (894 citations), Immunology (669 citations), Epidemiology (517 citations) and Hepatology (99 citations). Mark Muldoon has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Bette Korber, Beatrice H. Hahn, James Theiler, Feng Gao, Tanmoy Bhattacharya, R. Gupta, Steven M. Wolinsky, Alan S. Lapedes, Martin J. Conyon and J. P. Huke. Their work appears in journals such as Nature Medicine, Virology, Journal of Virology, Science and Ophthalmic and Physiological Optics.
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.