Jeff Lifson

2.6k total citations · 1 hit paper
17 papers, 2.1k citations indexed

About

Jeff Lifson is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Jeff Lifson has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Virology, 8 papers in Immunology and 6 papers in Infectious Diseases. Recurrent topics in Jeff Lifson's work include HIV Research and Treatment (14 papers), HIV/AIDS Research and Interventions (6 papers) and Immune Cell Function and Interaction (4 papers). Jeff Lifson is often cited by papers focused on HIV Research and Treatment (14 papers), HIV/AIDS Research and Interventions (6 papers) and Immune Cell Function and Interaction (4 papers). Jeff Lifson collaborates with scholars based in United States, United Kingdom and Australia. Jeff Lifson's co-authors include M. Piatak, Stephen J. Clark, John C. Kappes, Beatrice H. Hahn, George M. Shaw, Ka‐Cheung Luk, Vanessa M. Hirsch, David C. Montefiori, Lijuan Yang and Bernard Moss and has published in prestigious journals such as Science, PLoS ONE and Journal of Virology.

In The Last Decade

Jeff Lifson

16 papers receiving 2.0k citations

Hit Papers

High Levels of HIV-1 in Plasma During All Stages of Infec... 1993 2026 2004 2015 1993 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Lifson United States 12 1.6k 986 750 574 251 17 2.1k
James I. Mullins United States 20 1.6k 1.0× 1.3k 1.3× 445 0.6× 515 0.9× 196 0.8× 35 2.0k
Valérie Courgnaud France 24 1.6k 1.0× 894 0.9× 535 0.7× 901 1.6× 317 1.3× 47 2.3k
Francis J. Novembre United States 25 1.6k 1.0× 807 0.8× 699 0.9× 723 1.3× 196 0.8× 66 2.0k
Charles M. Trubey United States 19 1.1k 0.7× 564 0.6× 911 1.2× 594 1.0× 497 2.0× 33 2.0k
Sarah Rowland‐Jones United Kingdom 20 1.7k 1.0× 733 0.7× 1.7k 2.3× 665 1.2× 379 1.5× 28 2.7k
Thomas H. Vanderford United States 21 1.2k 0.7× 505 0.5× 1.2k 1.6× 558 1.0× 271 1.1× 41 2.1k
Raj Shankarappa United States 14 1.9k 1.1× 1.2k 1.2× 644 0.9× 338 0.6× 421 1.7× 18 2.1k
Anthony de Ronde Netherlands 25 1.9k 1.2× 1.3k 1.3× 629 0.8× 483 0.8× 474 1.9× 54 2.4k
D D Ho United States 18 1.8k 1.1× 1.1k 1.1× 935 1.2× 490 0.9× 207 0.8× 25 2.3k
Dale A. McPhee Australia 22 1.1k 0.7× 728 0.7× 530 0.7× 328 0.6× 335 1.3× 46 1.6k

Countries citing papers authored by Jeff Lifson

Since Specialization
Citations

This map shows the geographic impact of Jeff Lifson'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 Jeff Lifson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Lifson more than expected).

Fields of papers citing papers by Jeff Lifson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Lifson. 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 Jeff Lifson. The network helps show where Jeff Lifson may publish in the future.

Co-authorship network of co-authors of Jeff Lifson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Lifson. A scholar is included among the top collaborators of Jeff Lifson 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 Jeff Lifson. Jeff Lifson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
King, Hannah A. D., et al.. (2022). OP 8.4 – 00165 TLR agonist and SIV mAbs administered to SIV-infected ART-suppressed macaques did not delay rebound after treatment interruption. Journal of Virus Eradication. 8. 100278–100278. 1 indexed citations
2.
Lifson, Jeff. (2019). I-105 Nonhuman primate models in the study of early events in AIDS virus infection. JAIDS Journal of Acquired Immune Deficiency Syndromes. 81(1). 50–50.
3.
Smedley, Jeremy, et al.. (2016). Laparoscopic Technique for Serial Collection of Para-Colonic, Left Colic, and Inferior Mesenteric Lymph Nodes in Macaques. PLoS ONE. 11(6). e0157535–e0157535. 7 indexed citations
4.
Elliott, Julian, James McMahon, Christina C. Chang, et al.. (2015). Short-term administration of disulfiram for reversal of latent HIV infection: a phase 2 dose-escalation study. The Lancet HIV. 2(12). e520–e529. 181 indexed citations
5.
Scully, Eileen P., Kelly B. Arnold, Jinhong Chang, et al.. (2013). HIV-1 infection induces strong production of IP-10 through TLR7/9-dependent pathways. AIDS. 27(16). 2505–2517. 80 indexed citations
6.
Nemazee, David, Toshiyuki Ota, Michael Huber, et al.. (2012). Engineered mice and B cell lines expressing broadly neutralizing antibodies and their unmutated precursors: tools for HIV vaccinology. Retrovirology. 9(S2). 1 indexed citations
7.
García, Felipe, Núria Climent, Lambert Assoumou, et al.. (2011). A Therapeutic Dendritic Cell-Based Vaccine for HIV-1 Infection. The Journal of Infectious Diseases. 203(4). 473–478. 97 indexed citations
8.
Sambrook, Jennifer G., Arman Bashirova, Hanné Andersen, et al.. (2006). Identification of the ancestral killer immunoglobulin-like receptor gene in primates. BMC Genomics. 7(1). 209–209. 46 indexed citations
9.
Barsov, Eugene V., Hanné Andersen, Vicky Coalter, et al.. (2005). Capture of antigen-specific T lymphocytes from human blood by selective immortalization to establish long-term T-cell lines maintaining primary cell characteristics☆. Immunology Letters. 105(1). 26–37. 13 indexed citations
10.
Swigut, Tomek, Louis Alexander, Jennifer Morgan, et al.. (2004). Impact of Nef-Mediated Downregulation of Major Histocompatibility Complex Class I on Immune Response to Simian Immunodeficiency Virus. Journal of Virology. 78(23). 13335–13344. 77 indexed citations
11.
Busch, Marc, Lu Ding, Linda Fritts, Jeff Lifson, & Christopher J. Miller. (2003). Comparison of virology and immunology in SHIV 89.6 proviral DNA and virus‐inoculated rhesus macaques. Journal of Medical Primatology. 32(4-5). 240–246. 3 indexed citations
12.
Ling, Binhua, et al.. (2002). Longitudinal follow up of SIVmac pathogenesis in rhesus macaques of Chinese origin: emergence of B cell lymphoma. Journal of Medical Primatology. 31(4-5). 154–163. 20 indexed citations
13.
Joag, Sanjay V., Edward B. Stephens, Marilyn S. Smith, et al.. (1998). Oral Immunization of Macaques with Attenuated Vaccine Virus Induces Protection against Vaginally Transmitted AIDS. Journal of Virology. 72(11). 9069–9078. 61 indexed citations
14.
Hirsch, Vanessa M., George Dapolito, Jeff Lifson, et al.. (1998). Viral Genetic Evolution in Macaques Infected with Molecularly Cloned Simian Immunodeficiency Virus Correlates with the Extent of Persistent Viremia. Journal of Virology. 72(8). 6482–6489. 16 indexed citations
15.
Nowak, M A, Alun L. Lloyd, T A Wiltrout, et al.. (1997). Viral dynamics of primary viremia and antiretroviral therapy in simian immunodeficiency virus infection. Journal of Virology. 71(10). 7518–7525. 228 indexed citations
16.
17.
Piatak, M., Stephen J. Clark, John C. Kappes, et al.. (1993). High Levels of HIV-1 in Plasma During All Stages of Infection Determined By Competitive PCR. Science. 259(5102). 1749–1754. 1002 indexed citations breakdown →

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.

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