Gavin X. McLeod
- Virology top 0.2%
- Immunology top 2%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Co-authors
- Yaming CaoWilliam BorkowskyRichard A. KoupJeffrey T. SafritDavid D. HoCharla AndrewsCharles FarthingScott M. Hammer
- Topics
- HIV/AIDS Research and Interventions (8 papers)HIV Research and Treatment (6 papers)HIV/AIDS drug development and treatment (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodAnnals of Internal Medicine
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Gavin X. McLeod
16 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Virology 2.0k
- Immunology 1.4k
- Infectious Diseases 865
- Epidemiology 590
- Molecular Biology 271
Countries citing papers authored by Gavin X. McLeod
This map shows the geographic impact of Gavin X. McLeod'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 Gavin X. McLeod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin X. McLeod more than expected).
Fields of papers citing papers by Gavin X. McLeod
This network shows the impact of papers produced by Gavin X. McLeod. 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 Gavin X. McLeod. The network helps show where Gavin X. McLeod may publish in the future.
Co-authorship network of co-authors of Gavin X. McLeod
This figure shows the co-authorship network connecting the top 25 collaborators of Gavin X. McLeod. A scholar is included among the top collaborators of Gavin X. McLeod 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 Gavin X. McLeod. Gavin X. McLeod is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | State mandated prenatal human immunodeficiency virus screening at a large community hospital. | 1 |
| 10 | 66 | |
| 11 | 53 | |
| 12 | Temporal association of cellular immune responses with the initial control of viremia in primary human immunodeficiency virus type 1 syndromebreakdown → | 2035 |
| 13 | 104 | |
| 14 | 43 | |
| 15 | 5 | |
| 16 | 41 |
About Gavin X. McLeod
Gavin X. McLeod is a scholar working on Virology, Infectious Diseases and Parasitology, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (8 papers), HIV Research and Treatment (6 papers) and HIV/AIDS drug development and treatment (5 papers). The work is most often cited by research in Virology (2.0k citations), Immunology (1.4k citations) and Infectious Diseases (865 citations). Gavin X. McLeod has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Yaming Cao, William Borkowsky, Richard A. Koup, Jeffrey T. Safrit, David D. Ho, Charla Andrews, Charles Farthing, Scott M. Hammer, Hammer Sm and Michael F. Parry. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Annals of Internal Medicine.
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.