Lauren E. Gentles

805 total citations
9 papers, 259 citations indexed

About

Lauren E. Gentles is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lauren E. Gentles has authored 9 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lauren E. Gentles's work include Influenza Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Lauren E. Gentles is often cited by papers focused on Influenza Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Lauren E. Gentles collaborates with scholars based in United States, China and Kenya. Lauren E. Gentles's co-authors include Jesse D. Bloom, Helen Y. Chu, Andrea N. Loes, Katharine H. D. Crawford, Allison J. Greaney, Keara D. Malone, Tyler N. Starr, Kelly K. Lee, Matthew Angel and Hang Xie and has published in prestigious journals such as Cell, Nature Communications and Journal of Virology.

In The Last Decade

Lauren E. Gentles

8 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren E. Gentles United States	6	156	96	77	56	32	9	259
Lorena Sánchez-Felipe Belgium	9	149 1.0×	88 0.9×	104 1.4×	40 0.7×	53 1.7×	15	336
Sophia T. Mundle United States	11	108 0.7×	122 1.3×	163 2.1×	74 1.3×	30 0.9×	15	323
Nazia Thakur United Kingdom	11	213 1.4×	48 0.5×	95 1.2×	41 0.7×	53 1.7×	18	288
Elizabeth M. Drapeau United States	3	116 0.7×	112 1.2×	127 1.6×	66 1.2×	23 0.7×	5	258
Colleen Furey United States	7	150 1.0×	132 1.4×	177 2.3×	83 1.5×	33 1.0×	7	335
Keith Grehan United Kingdom	8	227 1.5×	46 0.5×	80 1.0×	30 0.5×	73 2.3×	14	301
Jesse Steffens United States	11	191 1.2×	67 0.7×	80 1.0×	74 1.3×	12 0.4×	15	297
Stephanie Ascough United Kingdom	11	110 0.7×	114 1.2×	120 1.6×	88 1.6×	9 0.3×	18	309
Meiniang Wang China	7	200 1.3×	49 0.5×	34 0.4×	39 0.7×	97 3.0×	13	307
Isabel García-Dorival United Kingdom	11	249 1.6×	70 0.7×	78 1.0×	46 0.8×	16 0.5×	20	362

Countries citing papers authored by Lauren E. Gentles

Since Specialization

Citations

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

Fields of papers citing papers by Lauren E. Gentles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. Gentles. 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 Lauren E. Gentles. The network helps show where Lauren E. Gentles may publish in the future.

Co-authorship network of co-authors of Lauren E. Gentles

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

All Works

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9 of 9 papers shown

Files, Megan, Lauren E. Gentles, Amanda Adler, et al.. (2024). Kinetics and Durability of Antibody and T-Cell Responses to SARS-CoV-2 in Children. The Journal of Infectious Diseases. 230(4). 889–900.

Greaney, Allison J., Andrea N. Loes, Lauren E. Gentles, et al.. (2021). Antibodies elicited by mRNA-1273 vaccination bind more broadly to the receptor binding domain than do those from SARS-CoV-2 infection. Science Translational Medicine. 13(600). 122 indexed citations

Gentles, Lauren E., Hongquan Wan, Maryna C. Eichelberger, & Jesse D. Bloom. (2020). Antibody Neutralization of an Influenza Virus that Uses Neuraminidase for Receptor Binding. Viruses. 12(6). 597–597. 4 indexed citations

Einav, Tal, Lauren E. Gentles, & Jesse D. Bloom. (2020). SnapShot: Influenza by the Numbers. Cell. 182(2). 532–532.e1. 11 indexed citations

Simonich, Cassandra A., Duncan Ralph, James A. Williams, et al.. (2019). Kappa chain maturation helps drive rapid development of an infant HIV-1 broadly neutralizing antibody lineage. Nature Communications. 10(1). 2190–2190. 23 indexed citations

Gentles, Lauren E., et al.. (2019). Deep Mutational Scan of the Highly Conserved Influenza A Virus M1 Matrix Protein Reveals Substantial Intrinsic Mutational Tolerance. Journal of Virology. 93(13). 23 indexed citations

Košík, Ivan, William L. Ince, Lauren E. Gentles, et al.. (2018). Influenza A virus hemagglutinin glycosylation compensates for antibody escape fitness costs. PLoS Pathogens. 14(1). e1006796–e1006796. 56 indexed citations

Lee, Jeongyoon, et al.. (2013). Establishment of an immortal chicken embryo liver-derived cell line. Poultry Science. 92(6). 1604–1612. 15 indexed citations

Kong, Byung‐Whi, Jeongyoon Lee, Walter Bottje, et al.. (2013). Microarray analysis of early and late passage chicken embryo fibroblast cells. Poultry Science. 92(3). 770–781. 5 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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