Jun Lai
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in ⓘ
- Virology 27
- HIV Research and Treatment 27
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- HIV/AIDS drug development and treatment 17
- HIV/AIDS Research and Interventions 14
- Co-authors
- Robert F. Siliciano (23 shared papers)Janet D. Siliciano (22 shared papers)Joel N. Blankson (4 shared papers)Sarah B. Laskey (2 shared papers)Ya‐Chi Ho (2 shared papers)Daniel I. S. Rosenbloom (4 shared papers)Liang Shan (2 shared papers)Jeffrey Wang (1 shared paper)
- Journals
- The Journal of Infectious Diseases (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Medicine (2 papers)Journal of Clinical Investigation (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesChinaUganda
In The Last Decade
Jun Lai
33 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Virology 2.8k
- Infectious Diseases 2.0k
- Immunology 940
- Sensory Systems 124
- Emergency Medicine 226
Countries citing papers authored by Jun Lai
This map shows the geographic impact of Jun Lai'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 Jun Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lai more than expected).
Fields of papers citing papers by Jun Lai
This network shows the impact of papers produced by Jun Lai. 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 Jun Lai. The network helps show where Jun Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Replication-Competent Noninduced Proviruses in the Latent Reservoir Increase Barrier to HIV-1 Cure Hit paper breakdown → | 2013 | 1013 |
| 2 | Defective proviruses rapidly accumulate during acute HIV-1 infection Hit paper breakdown → | 2016 | 515 |
| 3 | 2006 | 215 | |
| 4 | 2013 | 180 | |
| 5 | 2007 | 141 | |
| 6 | 2005 | 138 | |
| 7 | 2020 | 124 | |
| 8 | 2012 | 118 | |
| 9 | 2020 | 100 | |
| 10 | 2012 | 82 | |
| 11 | 2018 | 73 | |
| 12 | 2015 | 64 | |
| 13 | 2008 | 59 | |
| 14 | 2009 | 59 | |
| 15 | 2011 | 55 | |
| 16 | 2022 | 52 | |
| 17 | 2008 | 47 | |
| 18 | 2003 | 39 | |
| 19 | 1999 | 30 | |
| 20 | 2022 | 28 |
About Jun Lai
Jun Lai is a scholar working on Virology, Infectious Diseases, Hepatology, Sensory Systems and Immunology, having authored 37 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), HIV/AIDS drug development and treatment (17 papers), HIV/AIDS Research and Interventions (14 papers), Immune Cell Function and Interaction (8 papers), Hepatitis C virus research (4 papers), T-cell and B-cell Immunology (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Virology (2.8k citations), Infectious Diseases (2.0k citations), Immunology (940 citations), Sensory Systems (124 citations) and Emergency Medicine (226 citations). Jun Lai has collaborated with scholars based in United States, China and Uganda. Frequent co-authors include Robert F. Siliciano, Janet D. Siliciano, Joel N. Blankson, Sarah B. Laskey, Ya‐Chi Ho, Daniel I. S. Rosenbloom, Liang Shan, Jeffrey Wang, Nina N. Hosmane and King‐Wai Yau. Their work appears in journals such as The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences, Nature Medicine, Journal of Clinical Investigation and PLoS Pathogens.
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.