Beth Sumpter

13 total papers · 881 total citations
12 papers, 668 citations indexed

About

Beth Sumpter is a scholar working on Virology, Epidemiology and Immunology. According to data from OpenAlex, Beth Sumpter has authored 12 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Virology, 8 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Beth Sumpter's work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Beth Sumpter is often cited by papers focused on HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Beth Sumpter collaborates with scholars based in United States, Gabon and France. Beth Sumpter's co-authors include Guido Silvestri, Silvija I. Staprans, Harold M. McClure, Mirko Paiardini, Shari N. Gordon, Barbara Cervasi, Richard M. Dunham, Donald L. Sodora, Mark B. Feinberg and Jessica C. Engram and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Beth Sumpter

12 papers receiving 659 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Beth Sumpter	562	423	233	178	45	12	668
Lara Compton	547 1.0×	364 0.9×	209 0.9×	256 1.4×	71 1.6×	8	708
Jinjie Hu	608 1.1×	425 1.0×	208 0.9×	220 1.2×	52 1.2×	12	748
Vicky Coalter	574 1.0×	359 0.8×	203 0.9×	238 1.3×	83 1.8×	10	683
Sara Klucking	434 0.8×	404 1.0×	201 0.9×	144 0.8×	85 1.9×	8	620
Bradley H. Edwards	512 0.9×	502 1.2×	220 0.9×	190 1.1×	105 2.3×	11	752
Jin Tao Zhou	669 1.2×	453 1.1×	190 0.8×	318 1.8×	92 2.0×	7	792
B. Davison‐Fairburn	463 0.8×	236 0.6×	235 1.0×	218 1.2×	85 1.9×	9	574
L. N. Martin	466 0.8×	196 0.5×	288 1.2×	272 1.5×	58 1.3×	21	652
K. Suryanarayana	430 0.8×	231 0.5×	218 0.9×	206 1.2×	98 2.2×	14	637
Andreas Mörner	486 0.9×	387 0.9×	185 0.8×	231 1.3×	109 2.4×	20	708

Countries citing papers authored by Beth Sumpter

Since Specialization

Citations

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

Fields of papers citing papers by Beth Sumpter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beth Sumpter

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

All Works

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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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