Sandra Lester

3.7k total citations · 1 hit paper
9 papers, 810 citations indexed

About

Sandra Lester is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Sandra Lester has authored 9 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Sandra Lester's work include SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (3 papers). Sandra Lester is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), SARS-CoV-2 detection and testing (4 papers) and COVID-19 Clinical Research Studies (3 papers). Sandra Lester collaborates with scholars based in United States, China and Saudi Arabia. Sandra Lester's co-authors include Kui Li, Baoming Liu, Nan L. Li, Yang Shen, Jie Wang, Natalie J. Thornburg, Brandi Freeman, Lisa Mills, Christopher J. Lindsell and Ruidong Miao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sandra Lester

9 papers receiving 804 citations

Hit Papers

Toll-Like Receptors in Antiviral Innate Immunity 2013 2026 2017 2021 2013 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
Sandra Lester United States 6 373 289 238 176 59 9 810
Adam Hage United States 10 331 0.9× 371 1.3× 222 0.9× 133 0.8× 45 0.8× 20 715
Ashley Zani United States 13 317 0.8× 274 0.9× 195 0.8× 166 0.9× 41 0.7× 18 633
Puck B. van Kasteren Netherlands 15 355 1.0× 451 1.6× 300 1.3× 214 1.2× 101 1.7× 32 1.0k
Maria Blasi United States 16 263 0.7× 266 0.9× 305 1.3× 196 1.1× 115 1.9× 35 884
Carles Martínez‐Romero United States 15 375 1.0× 400 1.4× 343 1.4× 386 2.2× 71 1.2× 25 1.0k
In Su Cheon United States 18 523 1.4× 187 0.6× 208 0.9× 238 1.4× 81 1.4× 34 954
Xiaomei Sun China 13 133 0.4× 214 0.7× 161 0.7× 119 0.7× 29 0.5× 46 539
Åsa Hidmark Germany 14 266 0.7× 239 0.8× 106 0.4× 87 0.5× 31 0.5× 23 605
David J Vigerust United States 13 221 0.6× 258 0.9× 336 1.4× 407 2.3× 25 0.4× 25 1.0k
Tanja M. Kaptein Netherlands 13 719 1.9× 334 1.2× 552 2.3× 278 1.6× 66 1.1× 21 1.3k

Countries citing papers authored by Sandra Lester

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Lester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Lester

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

All Works

9 of 9 papers shown
1.
Pinto, Lígia A., Ribhi M. Shawar, Troy J. Kemp, et al.. (2022). A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays. Microbiology Spectrum. 10(1). e0156421–e0156421. 10 indexed citations
2.
Stumpf, Megan M., Brandi Freeman, Lisa Mills, et al.. (2022). Examination of Common Coronavirus Antibodies in SARS-CoV-2-Infected and Uninfected Participants in a Household Transmission Investigation. Open Forum Infectious Diseases. 9(7). ofac212–ofac212. 1 indexed citations
3.
Wadhwa, Ashutosh, Sherry Yin, Brandi Freeman, et al.. (2021). Comparison of the SARS-CoV-2 spike protein ELISA and the Abbott Architect SARS-CoV-2 IgG nucleocapsid protein assays for detection of antibodies. PLoS ONE. 16(7). e0255208–e0255208. 4 indexed citations
4.
McCulloch, Denise J., Michael L. Jackson, James P. Hughes, et al.. (2021). Seroprevalence of SARS-CoV-2 antibodies in Seattle, Washington: October 2019–April 2020. PLoS ONE. 16(5). e0252235–e0252235. 2 indexed citations
5.
Stubblefield, William B., H. Keipp Talbot, Leora R. Feldstein, et al.. (2020). Seroprevalence of SARS-CoV-2 Among Frontline Healthcare Personnel During the First Month of Caring for Patients With COVID-19—Nashville, Tennessee. Clinical Infectious Diseases. 72(9). 1645–1648. 72 indexed citations
7.
Lester, Sandra & Kui Li. (2013). Toll-Like Receptors in Antiviral Innate Immunity. Journal of Molecular Biology. 426(6). 1246–1264. 566 indexed citations breakdown →
8.
Liu, Shufeng, Chao Qiu, Ruidong Miao, et al.. (2013). MCPIP1 restricts HIV infection and is rapidly degraded in activated CD4+ T cells. Proceedings of the National Academy of Sciences. 110(47). 19083–19088. 62 indexed citations
9.
Shen, Yang, Nan L. Li, Jie Wang, et al.. (2012). TRIM56 Is an Essential Component of the TLR3 Antiviral Signaling Pathway. Journal of Biological Chemistry. 287(43). 36404–36413. 83 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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