James I. Mullins
- Virology top 0.01%
- Infectious Diseases top 0.05%
- Immunology top 0.2%
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Co-authors
- David C. NickleGerald H. LearnEric DelwartEdward A. HooverAllen G. RodrigoBruce D. WalkerEugene G. ShpaerMark A. Jensen
- Topics
- HIV Research and Treatment (238 papers)HIV/AIDS drug development and treatment (106 papers)HIV/AIDS Research and Interventions (85 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
James I. Mullins
284 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Virology 12.6k
- Infectious Diseases 8.0k
- Immunology 5.2k
- Molecular Biology 3.9k
- Epidemiology 3.7k
Countries citing papers authored by James I. Mullins
This map shows the geographic impact of James I. Mullins'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 James I. Mullins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James I. Mullins more than expected).
Fields of papers citing papers by James I. Mullins
This network shows the impact of papers produced by James I. Mullins. 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 James I. Mullins. The network helps show where James I. Mullins may publish in the future.
Co-authorship network of co-authors of James I. Mullins
This figure shows the co-authorship network connecting the top 25 collaborators of James I. Mullins. A scholar is included among the top collaborators of James I. Mullins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James I. Mullins. James I. Mullins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 18 | |
| 8 | 15 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | Proliferation of cells with HIV integrated into cancer genes contributes to persistent infectionbreakdown → | 484 |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 165 | |
| 16 | 52 | |
| 17 | Differential selection pressure exerted on HIV by CTL targeting identical epitopes but restricted by distinct HLA alleles from the same HLA supertype. (vol 177, pg 4699, 2006) | 1 |
| 18 | Herring (Clupea harengus): a host for infectious salmon anemia virus (ISAV) | 32 |
| 19 | 17 | |
| 20 | 133 |
About James I. Mullins
James I. Mullins is a scholar working on Virology, Infectious Diseases and Immunology, having authored 289 papers that have together received 17.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (238 papers), HIV/AIDS drug development and treatment (106 papers) and HIV/AIDS Research and Interventions (85 papers). The work is most often cited by research in Virology (12.6k citations), Infectious Diseases (8.0k citations) and Immunology (5.2k citations). James I. Mullins has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include David C. Nickle, Gerald H. Learn, Eric Delwart, Edward A. Hoover, Allen G. Rodrigo, Bruce D. Walker, Eugene G. Shpaer, Mark A. Jensen, Daniel Shriner and Raj Shankarappa. Their work appears in journals such as Nature, Science and Cell.
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.