Ian Frank

18.1k total citations · 2 hit papers
157 papers, 9.5k citations indexed

About

Ian Frank is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Ian Frank has authored 157 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Infectious Diseases, 70 papers in Virology and 59 papers in Epidemiology. Recurrent topics in Ian Frank's work include HIV Research and Treatment (68 papers), HIV/AIDS Research and Interventions (50 papers) and HIV/AIDS drug development and treatment (46 papers). Ian Frank is often cited by papers focused on HIV Research and Treatment (68 papers), HIV/AIDS Research and Interventions (50 papers) and HIV/AIDS drug development and treatment (46 papers). Ian Frank collaborates with scholars based in United States, United Kingdom and Botswana. Ian Frank's co-authors include Ronald G. Collman, Harvey M. Friedman, Pablo Tebas, Kyle Bittinger, Emily S. Charlson, Andrew R. Haas, Frederic D. Bushman, Anjana Yadav, Ayannah S. Fitzgerald and Giorgio Trinchieri and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Ian Frank

156 papers receiving 9.3k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gene Editing of CCR5 in Autologous CD4 T Cells of Persons Infected with HIV

2014 973 citations Pablo Tebas, Ian Frank et al. profile →
Topographical Continuity of Bacterial Populations in the Healthy Human Respiratory Tract

2011 814 citations Ian Frank, Ronald G. Collman et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ian Frank	3.9k	3.5k	2.9k	2.8k	2.0k	157	9.5k
Savita Pahwa	4.7k 1.2×	2.9k 0.8×	3.3k 1.2×	5.4k 1.9×	1.3k 0.6×	360	10.9k
Stéphane Blanche	2.8k 0.7×	5.1k 1.5×	2.8k 1.0×	2.2k 0.8×	1.2k 0.6×	254	9.6k
Joseph B. Margolick	5.4k 1.4×	4.2k 1.2×	2.3k 0.8×	2.8k 1.0×	1.1k 0.6×	134	9.1k
Daniel M. Altmann	1.9k 0.5×	2.2k 0.6×	1.6k 0.5×	3.8k 1.3×	1.8k 0.9×	162	9.2k
Richard T. Davey	6.3k 1.6×	6.2k 1.8×	3.2k 1.1×	3.5k 1.3×	1.2k 0.6×	170	11.8k
George E. Griffin	1.7k 0.4×	2.6k 0.7×	2.3k 0.8×	2.6k 0.9×	1.3k 0.6×	181	9.3k
Michael A. Polis	4.3k 1.1×	3.5k 1.0×	2.9k 1.0×	2.8k 1.0×	656 0.3×	143	8.6k
Katherine Luzuriaga	2.9k 0.8×	6.4k 1.8×	2.1k 0.7×	2.2k 0.8×	1.1k 0.5×	116	10.1k
Christopher J. Miller	5.3k 1.4×	2.9k 0.8×	2.7k 0.9×	4.2k 1.5×	1.4k 0.7×	188	9.1k
Willy Rozenbaum	5.8k 1.5×	5.0k 1.4×	3.1k 1.1×	2.7k 1.0×	1.2k 0.6×	169	11.0k

Countries citing papers authored by Ian Frank

Since Specialization

Citations

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

Fields of papers citing papers by Ian Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Frank

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

All Works

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20 of 20 papers shown

Herman, Jonathan D., Chuangqi Wang, John S. Burke, et al.. (2022). Nucleocapsid-specific antibody function is associated with therapeutic benefits from COVID-19 convalescent plasma therapy. Cell Reports Medicine. 3(11). 100811–100811. 17 indexed citations

Morales, Knashawn H., Robert Gross, Annet Davis-Vogel, et al.. (2021). Prior Sexually Transmitted Infection and Human Immunodeficiency Virus Risk Perception in a Diverse At-Risk Population of Men Who Have Sex with Men and Transgender Individuals. AIDS Patient Care and STDs. 35(1). 15–22. 5 indexed citations

Bertagnolli, Lynn N., Joseph Varriale, Francesco R. Simonetti, et al.. (2020). Autologous IgG antibodies block outgrowth of a substantial but variable fraction of viruses in the latent reservoir for HIV-1. Proceedings of the National Academy of Sciences. 117(50). 32066–32077. 46 indexed citations

Ashare, Rebecca L., Katrina J. Serrano, Frank T. Leone, et al.. (2019). Placebo-controlled randomized clinical trial testing the efficacy and safety of varenicline for smokers with HIV. Drug and Alcohol Dependence. 200. 26–33. 35 indexed citations

Murray, Miranda, Martin Markowitz, Ian Frank, et al.. (2018). Satisfaction and acceptability of cabotegravir long-acting injectable suspension for prevention of HIV: Patient perspectives from the ECLAIR trial. HIV Clinical Trials. 19(4). 129–138. 54 indexed citations

Meyers, Kathrine, Kristina Rodriguez, Yumeng Wu, et al.. (2017). Lessons for Patient Education Around Long-Acting Injectable PrEP: Findings from a Mixed-Method Study of Phase II Trial Participants. AIDS and Behavior. 22(4). 1209–1216. 26 indexed citations

Markowitz, Martin, Ian Frank, Robert M. Grant, et al.. (2017). Safety and tolerability of long-acting cabotegravir injections in HIV-uninfected men (ECLAIR): a multicentre, double-blind, randomised, placebo-controlled, phase 2a trial. The Lancet HIV. 4(8). e331–e340. 164 indexed citations

Hay, Christine M., Gregory J. Wilson, Marnie Elizaga, et al.. (2014). An HIV DNA Vaccine Delivered by Electroporation and Boosted by rVSV HIV-1 Gag Is Safe and Immunogenic in Healthy HIV-uninfected Adults. AIDS Research and Human Retroviruses. 30(S1). A17–A17. 1 indexed citations

Rayner, Manny, et al.. (2011). For a fistful of dollars: using crowd-sourcing to evaluate a spoken language CALL application. Archive ouverte UNIGE (University of Geneva). 117–120. 12 indexed citations

10.

Bakshi, Rahul P., Fayez M. Hamzeh, Ian Frank, et al.. (2007). Effect of Hydroxyurea and Dideoxyinosine on Intracellular 3′-Deoxyadenosine-5′-triphosphate Concentrations in HIV-Infected Patients. AIDS Research and Human Retroviruses. 23(11). 1360–1365. 4 indexed citations

11.

Nunnari, Giuseppe, Julie Sullivan, Yan Xu, et al.. (2005). HIV Type 1 Cervicovaginal Reservoirs in the Era of HAART. AIDS Research and Human Retroviruses. 21(8). 714–718. 25 indexed citations

12.

Lori, Franco, Richard B. Pollard, Lucia Whitman, et al.. (2005). Lowering the Dose of Hydroxyurea Minimizes Toxicity and Maximizes Anti-HIV Potency. AIDS Research and Human Retroviruses. 21(4). 263–272. 9 indexed citations

13.

Vogler, Mary, Hedy Teppler, Rebecca Gelman, et al.. (2004). Daily Low-Dose Subcutaneous Interleukin-2 Added To Single- or Dual-Nucleoside Therapy in HIV Infection Does Not Protect Against CD4+ T-Cell Decline or Improve Other Indices of Immune Function: Results of a Randomized Controlled Clinical Trial (ACTG 248). JAIDS Journal of Acquired Immune Deficiency Syndromes. 36(1). 576–587. 15 indexed citations

14.

Frank, Ian, Ronald J. Bosch, Susan A. Fiscus, et al.. (2004). Activity, Safety, and Immunological Effects of Hydroxyurea Added to Didanosine in Antiretroviral-Naive and Experienced HIV Type 1-Infected Subjects: A Randomized, Placebo-Controlled Trial, ACTG 307. AIDS Research and Human Retroviruses. 20(9). 916–926. 21 indexed citations

15.

Otero, Miguel, Giuseppe Nunnari, Julie Sullivan, et al.. (2003). Peripheral Blood Dendritic Cells Are Not a Major Reservoir for HIV Type 1 in Infected Individuals on Virally Suppressive HAART. AIDS Research and Human Retroviruses. 19(12). 1097–1103. 45 indexed citations

16.

Albright, Andrew, Susan Erickson‐Viitanen, Michael J. O’Connor, et al.. (2000). Efavirenz Is a Potent Nonnucleoside Reverse Transcriptase Inhibitor of HIV Type 1 Replication in Microglia in Vitro. AIDS Research and Human Retroviruses. 16(15). 1527–1537. 11 indexed citations

17.

Jarvik, Jeffrey G., et al.. (1994). Proton MR spectroscopy of brain abnormalities in neonates born to HIV-positive mothers.. American Journal of Neuroradiology. 15(10). 1853–1859. 18 indexed citations

18.

Ugen, Kenneth E., James J. Goedert, Jean Boyer, et al.. (1992). Vertical transmission of human immunodeficiency virus (HIV) infection. Reactivity of maternal sera with glycoprotein 120 and 41 peptides from HIV type 1.. Journal of Clinical Investigation. 89(6). 1923–1930. 70 indexed citations

19.

Frank, Ian, David Basin, & Alan Bundy. (1992). 10th European Conference on Artificial Intelligence, ECAI 92, Vienna, Austria, August 3-7, 1992. Proceedings.. European Conference on Artificial Intelligence. 2 indexed citations

20.

Ziegner, Ulrike, et al.. (1992). Antibody-Dependent Cellular Cytotoxicity (ADCC) Is Directed Against Immunodominant Epitopes of the Envelope Proteins of Human Immunodeficiency Virus 1 (HIV-1). Viral Immunology. 5(4). 273–281. 7 indexed citations

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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