Tamara R. McBrayer

53 total papers · 1.7k total citations
47 papers, 1.3k citations indexed

About

Tamara R. McBrayer is a scholar working on Infectious Diseases, Hepatology and Molecular Biology. According to data from OpenAlex, Tamara R. McBrayer has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Infectious Diseases, 26 papers in Hepatology and 21 papers in Molecular Biology. Recurrent topics in Tamara R. McBrayer's work include HIV/AIDS drug development and treatment (29 papers), Hepatitis C virus research (25 papers) and Biochemical and Molecular Research (15 papers). Tamara R. McBrayer is often cited by papers focused on HIV/AIDS drug development and treatment (29 papers), Hepatitis C virus research (25 papers) and Biochemical and Molecular Research (15 papers). Tamara R. McBrayer collaborates with scholars based in United States, France and Egypt. Tamara R. McBrayer's co-authors include Raymond F. Schinazi, Lieven Stuyver, Michaël Otto, Phillip M. Tharnish, Tony Whitaker, Kyoichi A. Watanabe, Stefania Lostia, Junxing Shi, Phillip A. Furman and Steven J. Coats and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Journal of Medicinal Chemistry.

In The Last Decade

Tamara R. McBrayer

46 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tamara R. McBrayer 807 514 484 442 353 47 1.3k
Bruce S. Ross 644 0.8× 551 1.1× 761 1.6× 452 1.0× 348 1.0× 42 1.6k
Phillip M. Tharnish 719 0.9× 420 0.8× 458 0.9× 404 0.9× 372 1.1× 30 1.3k
Holly M. Micolochick Steuer 845 1.0× 955 1.9× 489 1.0× 807 1.8× 200 0.6× 27 1.6k
Vincent Lévêque 657 0.8× 803 1.6× 547 1.1× 642 1.5× 219 0.6× 41 1.7k
Christine Espiritu 810 1.0× 1.1k 2.2× 502 1.0× 1.0k 2.3× 161 0.5× 34 1.8k
Mark W. Stahlhut 655 0.8× 471 0.9× 598 1.2× 390 0.9× 264 0.7× 45 1.7k
Sonal Rajyaguru 588 0.7× 728 1.4× 270 0.6× 550 1.2× 191 0.5× 25 1.1k
Michael H. Serrano‐Wu 350 0.4× 795 1.5× 339 0.7× 632 1.4× 303 0.9× 31 1.4k
Zhuhui Huang 568 0.7× 174 0.3× 239 0.5× 1.2k 2.6× 162 0.5× 29 1.7k
J. T. WITKOWSKI 610 0.8× 133 0.3× 767 1.6× 593 1.3× 498 1.4× 28 1.7k

Countries citing papers authored by Tamara R. McBrayer

Since Specialization
Citations

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

Fields of papers citing papers by Tamara R. McBrayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara R. McBrayer. 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 Tamara R. McBrayer. The network helps show where Tamara R. McBrayer may publish in the future.

Co-authorship network of co-authors of Tamara R. McBrayer

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara R. McBrayer. A scholar is included among the top collaborators of Tamara R. McBrayer 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 Tamara R. McBrayer. Tamara R. McBrayer 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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