Jonathan Lipscomb
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in ⓘ
-
- HIV/AIDS Research and Interventions 15
- HIV/AIDS drug development and treatment 10
- Virology 16
- HIV Research and Treatment 16
- Co-authors
- Walid Heneine (15 shared papers)Jeffrey A. Johnson (8 shared papers)Michael Monsour (2 shared papers)J. Gerardo Garcı́a-Lerma (8 shared papers)Xierong Wei (2 shared papers)Diane Bennett (2 shared papers)LI Jin-fen (2 shared papers)Silvina Masciotra (2 shared papers)
- Journals
- The Journal of Infectious Diseases (4 papers)PLoS Medicine (2 papers)Science Translational Medicine (2 papers)Retrovirology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jonathan Lipscomb
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Virology 790
- Infectious Diseases 957
- Microbiology 113
- Epidemiology 315
- Transplantation 10
Countries citing papers authored by Jonathan Lipscomb
This map shows the geographic impact of Jonathan Lipscomb'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 Jonathan Lipscomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lipscomb more than expected).
Fields of papers citing papers by Jonathan Lipscomb
This network shows the impact of papers produced by Jonathan Lipscomb. 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 Jonathan Lipscomb. The network helps show where Jonathan Lipscomb may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Lipscomb, 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 | 2008 | 291 | |
| 2 | 2008 | 278 | |
| 3 | 2010 | 141 | |
| 4 | 2011 | 93 | |
| 5 | 2007 | 56 | |
| 6 | 2007 | 41 | |
| 7 | 2014 | 40 | |
| 8 | 2010 | 20 | |
| 9 | 2013 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2012 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2018 | 9 | |
| 16 | Time course alterations in tremor and muscarinic receptor binding produced by trimethyltin. | 1985 | 4 |
| 17 | 2023 | 2 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Jonathan Lipscomb
Jonathan Lipscomb is a scholar working on Infectious Diseases, Virology, Epidemiology, Microbiology and Molecular Biology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (15 papers), HIV/AIDS drug development and treatment (10 papers), Reproductive tract infections research (4 papers), HIV, Drug Use, Sexual Risk (3 papers), Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Virology (790 citations), Infectious Diseases (957 citations), Microbiology (113 citations), Epidemiology (315 citations) and Transplantation (10 citations). Jonathan Lipscomb has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Walid Heneine, Jeffrey A. Johnson, Michael Monsour, J. Gerardo Garcı́a-Lerma, Xierong Wei, Diane Bennett, LI Jin-fen, Silvina Masciotra, Ron A. Otten and Mian-er Cong. Their work appears in journals such as The Journal of Infectious Diseases, PLoS Medicine, Science Translational Medicine, Retrovirology and PLoS ONE.
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.