Subul Beg

2.8k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Subul Beg is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Subul Beg has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Virology, 11 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in Subul Beg's work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (9 papers) and HIV/AIDS Research and Interventions (8 papers). Subul Beg is often cited by papers focused on HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (9 papers) and HIV/AIDS Research and Interventions (8 papers). Subul Beg collaborates with scholars based in United States and Canada. Subul Beg's co-authors include Robert F. Siliciano, Janet D. Siliciano, Ya‐Chi Ho, Adam A. Capoferri, Kyungyoon J. Kwon, Katherine M. Bruner, Nina N. Hosmane, Daniel I. S. Rosenbloom, Jun Lai and Brandon F. Keele and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Subul Beg

14 papers receiving 1.2k citations

Hit Papers

Defective HIV-1 Proviruses Are Expressed and Can Be Recog... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subul Beg United States 12 1.1k 754 405 201 132 15 1.2k
Katherine M. Bruner United States 7 1.2k 1.1× 807 1.1× 437 1.1× 264 1.3× 181 1.4× 7 1.3k
Ann Wiegand United States 11 1.6k 1.4× 1.3k 1.7× 402 1.0× 244 1.2× 142 1.1× 17 1.7k
Kyungyoon J. Kwon United States 9 709 0.6× 460 0.6× 308 0.8× 137 0.7× 124 0.9× 10 810
Guinevere Q. Lee United States 17 870 0.8× 676 0.9× 259 0.6× 185 0.9× 203 1.5× 37 1.1k
Katherine Perkey United States 7 698 0.6× 452 0.6× 290 0.7× 169 0.8× 80 0.6× 9 857
Karen A. O’Connell United States 14 773 0.7× 413 0.5× 432 1.1× 131 0.7× 93 0.7× 20 849
Jonathan Toma United States 13 778 0.7× 566 0.8× 228 0.6× 149 0.7× 175 1.3× 21 865
Carolina Garrido United States 13 554 0.5× 289 0.4× 355 0.9× 213 1.1× 157 1.2× 20 770
Kevin Einkauf United States 8 647 0.6× 514 0.7× 218 0.5× 139 0.7× 78 0.6× 8 750
Jennifer Kirchherr United States 14 573 0.5× 323 0.4× 274 0.7× 117 0.6× 146 1.1× 28 684

Countries citing papers authored by Subul Beg

Since Specialization
Citations

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

Fields of papers citing papers by Subul Beg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subul Beg

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

All Works

15 of 15 papers shown
1.
White, Jennifer A., Filippo Dragoni, Emily J. Fray, et al.. (2025). Superinfection promotes replication and diversification of defective HIV-1 proviruses in people with non-suppressible viraemia. Nature Microbiology. 10(11). 2736–2748.
2.
White, Jennifer A., Francesco R. Simonetti, Subul Beg, et al.. (2022). Complex decay dynamics of HIV virions, intact and defective proviruses, and 2LTR circles following initiation of antiretroviral therapy. Proceedings of the National Academy of Sciences. 119(6). 52 indexed citations
3.
White, Jennifer A., Niklas Bachmann, Weiwei Dai, et al.. (2022). Measuring the latent reservoir for HIV-1: Quantification bias in near full-length genome sequencing methods. PLoS Pathogens. 18(9). e1010845–e1010845. 28 indexed citations
4.
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
5.
Simonetti, Francesco R., Hao Zhang, Kyle Rhodehouse, et al.. (2020). Antigen-driven clonal selection shapes the persistence of HIV-1–infected CD4+ T cells in vivo. Journal of Clinical Investigation. 131(3). 100 indexed citations
6.
Timmons, Andrew E., Emily J. Fray, Mithra R. Kumar, et al.. (2020). HSF1 inhibition attenuates HIV-1 latency reversal mediated by several candidate LRAs In Vitro and Ex Vivo. Proceedings of the National Academy of Sciences. 117(27). 15763–15771. 25 indexed citations
7.
Peluso, Michael J., Peter Bacchetti, Kristen D. Ritter, et al.. (2020). Differential decay of intact and defective proviral DNA in HIV-1–infected individuals on suppressive antiretroviral therapy. JCI Insight. 5(4). 124 indexed citations
8.
Martin, Alyssa R., Alexandra M. Bender, Kyungyoon J. Kwon, et al.. (2020). Similar Frequency and Inducibility of Intact Human Immunodeficiency Virus-1 Proviruses in Blood and Lymph Nodes. The Journal of Infectious Diseases. 224(2). 258–268. 18 indexed citations
9.
Stone, Mars, Daniel I. S. Rosenbloom, Peter Bacchetti, et al.. (2020). Assessing the Suitability of Next-Generation Viral Outgrowth Assays to Measure Human Immunodeficiency Virus 1 Latent Reservoir Size. The Journal of Infectious Diseases. 224(7). 1209–1218. 13 indexed citations
10.
Peluso, Marco, Peter Bacchetti, Klaus Ritter, et al.. (2019). Differential decay of intact and defective proviral DNA in HIV-1-infected individuals on suppressive antiretroviral therapy. Journal of Virus Eradication. 5. 23–23. 1 indexed citations
11.
Simonetti, Francesco R., Hui Zhang, Subul Beg, et al.. (2019). Contribution of antigenic exposure to the persistence of HIV-infected CD4 T cells in vivo. Journal of Virus Eradication. 5. 23–24. 1 indexed citations
12.
Salantes, D. Brenda, Yu Zheng, Subul Beg, et al.. (2018). HIV-1 latent reservoir size and diversity are stable following brief treatment interruption. Journal of Clinical Investigation. 128(7). 3102–3115. 73 indexed citations
13.
Wang, Zheng, Timothy Brennan, Jeffrey M. Gerold, et al.. (2018). Expanded cellular clones carrying replication-competent HIV-1 persist, wax, and wane. Proceedings of the National Academy of Sciences. 115(11). 157 indexed citations
14.
Pollack, Ross A., R. Brad Jones, Mihaela Pertea, et al.. (2017). Defective HIV-1 Proviruses Are Expressed and Can Be Recognized by Cytotoxic T Lymphocytes, which Shape the Proviral Landscape. Cell Host & Microbe. 21(4). 494–506.e4. 254 indexed citations breakdown →
15.
Hosmane, Nina N., Kyungyoon J. Kwon, Katherine M. Bruner, et al.. (2017). Proliferation of latently infected CD4+ T cells carrying replication-competent HIV-1: Potential role in latent reservoir dynamics. The Journal of Experimental Medicine. 214(4). 959–972. 274 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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