Sarah B. Laskey

2.7k total citations · 2 hit papers
11 papers, 1.9k citations indexed

About

Sarah B. Laskey is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sarah B. Laskey has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Virology, 9 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Sarah B. Laskey's work include HIV Research and Treatment (10 papers), HIV/AIDS Research and Interventions (8 papers) and HIV/AIDS drug development and treatment (8 papers). Sarah B. Laskey is often cited by papers focused on HIV Research and Treatment (10 papers), HIV/AIDS Research and Interventions (8 papers) and HIV/AIDS drug development and treatment (8 papers). Sarah B. Laskey collaborates with scholars based in United States and Ireland. Sarah B. Laskey's co-authors include Robert F. Siliciano, Janet D. Siliciano, Ya‐Chi Ho, Jun Lai, Daniel I. S. Rosenbloom, Liang Shan, Joel N. Blankson, Nina N. Hosmane, Jeffrey Wang and Katherine M. Bruner and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Sarah B. Laskey

11 papers receiving 1.9k citations

Hit Papers

Replication-Competent Noninduced Proviruses in the Latent... 2013 2026 2017 2021 2013 2016 250 500 750 1000

Peers

Sarah B. Laskey
S. Alireza Rabi United States
Nina N. Hosmane United States
Delphine Engel United States
Geethanjali Dornadula United States
Ann Wiegand United States
J J de Jong Netherlands
Maarten Koot Netherlands
Jo Ann M. Mican United States
S. Alireza Rabi United States
Sarah B. Laskey
Citations per year, relative to Sarah B. Laskey Sarah B. Laskey (= 1×) peers S. Alireza Rabi

Countries citing papers authored by Sarah B. Laskey

Since Specialization
Citations

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

Fields of papers citing papers by Sarah B. Laskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah B. Laskey. 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 Sarah B. Laskey. The network helps show where Sarah B. Laskey may publish in the future.

Co-authorship network of co-authors of Sarah B. Laskey

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

All Works

11 of 11 papers shown
1.
Tennen, Ruth I., Sarah B. Laskey, Bertram L. Koelsch, Matthew H. McIntyre, & Joyce Y. Tung. (2020). Identifying Ashkenazi Jewish BRCA1/2 founder variants in individuals who do not self-report Jewish ancestry. Scientific Reports. 10(1). 7669–7669. 11 indexed citations
2.
Pohlmeyer, Christopher W., Sarah B. Laskey, Sarah E. Beck, et al.. (2018). Cross-reactive microbial peptides can modulate HIV-specific CD8+ T cell responses. PLoS ONE. 13(2). e0192098–e0192098. 8 indexed citations
3.
Rosenbloom, Daniel I. S., Alison L. Hill, Sarah B. Laskey, & Robert F. Siliciano. (2017). Re-evaluating evolution in the HIV reservoir. Nature. 551(7681). E6–E9. 56 indexed citations
4.
Bruner, Katherine M., Alexandra J. Murray, Ross A. Pollack, et al.. (2016). Defective proviruses rapidly accumulate during acute HIV-1 infection. Nature Medicine. 22(9). 1043–1049. 515 indexed citations breakdown →
5.
Laskey, Sarah B., Christopher W. Pohlmeyer, Katherine M. Bruner, & Robert F. Siliciano. (2016). Evaluating Clonal Expansion of HIV-Infected Cells: Optimization of PCR Strategies to Predict Clonality. PLoS Pathogens. 12(8). e1005689–e1005689. 42 indexed citations
6.
Laskey, Sarah B. & Robert F. Siliciano. (2016). Quantitative evaluation of the antiretroviral efficacy of dolutegravir. JCI Insight. 1(19). e90033–e90033. 10 indexed citations
7.
Frey, Kathleen M., Sarah B. Laskey, Krasimir A. Spasov, et al.. (2015). Potent Inhibitors Active against HIV Reverse Transcriptase with K101P, a Mutation Conferring Rilpivirine Resistance. ACS Medicinal Chemistry Letters. 6(10). 1075–1079. 23 indexed citations
8.
Laskey, Sarah B. & Robert F. Siliciano. (2014). A mechanistic theory to explain the efficacy of antiretroviral therapy. Nature Reviews Microbiology. 12(11). 772–780. 50 indexed citations
9.
Ho, Ya‐Chi, Liang Shan, Nina N. Hosmane, et al.. (2013). Replication-Competent Noninduced Proviruses in the Latent Reservoir Increase Barrier to HIV-1 Cure. Cell. 155(3). 540–551. 1013 indexed citations breakdown →
10.
Rabi, S. Alireza, Gregory M. Laird, Christine M. Durand, et al.. (2013). Multi-step inhibition explains HIV-1 protease inhibitor pharmacodynamics and resistance. Journal of Clinical Investigation. 123(9). 3848–3860. 108 indexed citations
11.
Bailey, Justin R., Sarah B. Laskey, Lisa N. Wasilewski, et al.. (2012). Constraints on Viral Evolution during Chronic Hepatitis C Virus Infection Arising from a Common-Source Exposure. Journal of Virology. 86(23). 12582–12590. 22 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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