Sara L. Sawyer

5.8k total citations · 1 hit paper
69 papers, 3.7k citations indexed

About

Sara L. Sawyer is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Sara L. Sawyer has authored 69 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Virology and 22 papers in Immunology. Recurrent topics in Sara L. Sawyer's work include HIV Research and Treatment (22 papers), interferon and immune responses (13 papers) and Herpesvirus Infections and Treatments (11 papers). Sara L. Sawyer is often cited by papers focused on HIV Research and Treatment (22 papers), interferon and immune responses (13 papers) and Herpesvirus Infections and Treatments (11 papers). Sara L. Sawyer collaborates with scholars based in United States, France and South Korea. Sara L. Sawyer's co-authors include Harmit S. Malik, Michael Emerman, Lily I. Wu, Nicholas R. Meyerson, Bik K. Tye, Ann Demogines, William H. Press, Dianne I. Lou, Jeffrey A. Hussmann and Welkin E. Johnson and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sara L. Sawyer

68 papers receiving 3.7k citations

Hit Papers

Positive selection of pri... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara L. Sawyer United States 32 1.7k 1.3k 1.1k 918 818 69 3.7k
Ali Saı̈b France 33 1.4k 0.9× 1.0k 0.8× 1.4k 1.3× 968 1.1× 680 0.8× 63 3.4k
Eiji Morita Japan 29 2.1k 1.2× 653 0.5× 840 0.8× 1.5k 1.6× 944 1.2× 75 4.8k
Sam J. Wilson United Kingdom 26 1.3k 0.8× 2.3k 1.8× 1.7k 1.5× 1.3k 1.4× 1.4k 1.7× 45 4.6k
Welkin E. Johnson United States 31 1.1k 0.6× 1.2k 1.0× 2.0k 1.8× 1.1k 1.2× 853 1.0× 75 3.5k
Nolwenn Jouvenet France 28 1.1k 0.6× 954 0.7× 1.2k 1.1× 790 0.9× 1.4k 1.7× 58 3.5k
Falko G. Falkner Austria 25 1.1k 0.6× 789 0.6× 1.1k 1.0× 1.1k 1.2× 517 0.6× 56 2.9k
Dolores Rodrı́guez Spain 36 1.2k 0.7× 1.3k 1.0× 1.2k 1.1× 1.4k 1.6× 458 0.6× 111 4.3k
David Derse United States 44 1.6k 0.9× 2.4k 1.8× 1.3k 1.2× 948 1.0× 633 0.8× 90 4.9k
Renate König Germany 25 1.8k 1.0× 1.6k 1.2× 2.7k 2.5× 1.3k 1.4× 1.5k 1.8× 59 4.3k
Angela Ciuffi Switzerland 32 2.2k 1.3× 808 0.6× 1.7k 1.6× 609 0.7× 1.1k 1.3× 65 3.7k

Countries citing papers authored by Sara L. Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Sara L. Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara L. Sawyer. 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 Sara L. Sawyer. The network helps show where Sara L. Sawyer may publish in the future.

Co-authorship network of co-authors of Sara L. Sawyer

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

All Works

20 of 20 papers shown
1.
Kuhn, Jens H., et al.. (2025). Future threats: Animal orthoflaviviruses that currently infect fewer than 100 people per year. Cell Reports. 44(6). 115700–115700. 1 indexed citations
2.
3.
Pasquesi, Giulia Irene Maria, Holly Allen, Atma M. Ivancevic, et al.. (2024). Regulation of human interferon signaling by transposon exonization. Cell. 187(26). 7621–7636.e19. 14 indexed citations
4.
Yang, Qing, Nicholas R. Meyerson, James H. Morrison, et al.. (2023). Human mRNA in saliva can correctly identify individuals harboring acute infection. mBio. 14(6). e0171223–e0171223. 1 indexed citations
5.
Warren, Cody J., Arturo Barbachano-Guerrero, Devra Huey, et al.. (2023). Quantification of virus-infected cells using RNA FISH-Flow. STAR Protocols. 4(2). 102291–102291. 5 indexed citations
6.
Rothenburg, Stefan, Zhilong Yang, Philippa M. Beard, et al.. (2022). Monkeypox emergency: Urgent questions and perspectives. Cell. 185(18). 3279–3281. 15 indexed citations
7.
Burke, James M., Nina Ripin, Max Ferretti, et al.. (2022). RNase L activation in the cytoplasm induces aberrant processing of mRNAs in the nucleus. PLoS Pathogens. 18(11). e1010930–e1010930. 23 indexed citations
8.
Rowley, Paul A., et al.. (2021). Nuku, a family of primate retrocopies derived from KU70. G3 Genes Genomes Genetics. 11(8). 1 indexed citations
9.
Burke, James M., Alison R. Gilchrist, Sara L. Sawyer, & Roy Parker. (2021). RNase L limits host and viral protein synthesis via inhibition of mRNA export. Science Advances. 7(23). 26 indexed citations
10.
Decker, Carolyn J., Laura L. Hoon‐Hanks, James H. Morrison, et al.. (2019). dsRNA-Seq: Identification of Viral Infection by Purifying and Sequencing dsRNA. Viruses. 11(10). 943–943. 18 indexed citations
11.
Meyerson, Nicholas R., Alison R. Gilchrist, Kristofor J. Webb, et al.. (2018). Dengue viruses cleave STING in humans but not in nonhuman primates, their presumed natural reservoir. eLife. 7. 52 indexed citations
12.
Meyerson, Nicholas R., Ligang Zhou, Yusong R. Guo, et al.. (2017). Nuclear TRIM25 Specifically Targets Influenza Virus Ribonucleoproteins to Block the Onset of RNA Chain Elongation. Cell Host & Microbe. 22(5). 627–638.e7. 96 indexed citations
13.
Demogines, Ann, Thomas Fricke, Mélodie B. Plourde, et al.. (2016). A putative SUMO interacting motif in the B30.2/SPRY domain of rhesus macaque TRIM5α important for NF-κB/AP-1 signaling and HIV-1 restriction. Heliyon. 2(1). e00056–e00056. 9 indexed citations
14.
Lou, Dianne I., Eui Tae Kim, Nicholas R. Meyerson, et al.. (2016). An Intrinsically Disordered Region of the DNA Repair Protein Nbs1 Is a Species-Specific Barrier to Herpes Simplex Virus 1 in Primates. Cell Host & Microbe. 20(2). 178–188. 32 indexed citations
15.
Meyerson, Nicholas R., et al.. (2014). Positive selection of primate genes that promote HIV-1 replication. Virology. 454-455. 291–298. 34 indexed citations
16.
Sawyer, Sara L., et al.. (2013). An Evolutionary Screen Highlights Canonical and Noncanonical Candidate Antiviral Genes within the Primate TRIM Gene Family. Genome Biology and Evolution. 5(11). 2141–2154. 38 indexed citations
17.
Voit, Richard A., Moira A. McMahon, Sara L. Sawyer, & Matthew H. Porteus. (2013). Generation of an HIV Resistant T-cell Line by Targeted “Stacking” of Restriction Factors. Molecular Therapy. 21(4). 786–795. 63 indexed citations
18.
Sawyer, Sara L. & Nels C. Elde. (2012). A cross-species view on viruses. Current Opinion in Virology. 2(5). 561–568. 28 indexed citations
19.
Sawyer, Sara L., Lily I. Wu, Joshua M. Akey, Michael Emerman, & Harmit S. Malik. (2006). High-Frequency Persistence of an Impaired Allele of the Retroviral Defense Gene TRIM5α in Humans. Current Biology. 16(1). 95–100. 91 indexed citations
20.
Sawyer, Sara L., Michael Emerman, & Harmit S. Malik. (2004). Ancient Adaptive Evolution of the Primate Antiviral DNA-Editing Enzyme APOBEC3G. PLoS Biology. 2(9). e275–e275. 380 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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