Tony Whitaker

49 total papers · 1.4k total citations
36 papers, 1.0k citations indexed

About

Tony Whitaker is a scholar working on Infectious Diseases, Hepatology and Molecular Biology. According to data from OpenAlex, Tony Whitaker has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 21 papers in Hepatology and 12 papers in Molecular Biology. Recurrent topics in Tony Whitaker's work include HIV/AIDS drug development and treatment (22 papers), Hepatitis C virus research (20 papers) and Biochemical and Molecular Research (8 papers). Tony Whitaker is often cited by papers focused on HIV/AIDS drug development and treatment (22 papers), Hepatitis C virus research (20 papers) and Biochemical and Molecular Research (8 papers). Tony Whitaker collaborates with scholars based in United States, Belarus and Australia. Tony Whitaker's co-authors include Raymond F. Schinazi, Tamara R. McBrayer, Michaël Otto, Lieven Stuyver, Phillip M. Tharnish, Junxing Shi, Steven J. Coats, Kyoichi A. Watanabe, Longhu Zhou and Franck Amblard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Journal of Medicinal Chemistry.

In The Last Decade

Tony Whitaker

35 papers receiving 986 citations

Author Peers

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

Author Last Decade Papers Cites
Tony Whitaker 554 436 410 324 192 36 1.0k
Tsuyoshi Adachi 305 0.6× 695 1.6× 407 1.0× 370 1.1× 177 0.9× 20 1.2k
Anne B. Eldrup 447 0.8× 365 0.8× 280 0.7× 497 1.5× 177 0.9× 21 1.1k
Laval Chan 383 0.7× 426 1.0× 273 0.7× 330 1.0× 283 1.5× 27 965
Aesop Cho 448 0.8× 163 0.4× 255 0.6× 324 1.0× 168 0.9× 23 905
Ginette McKercher 502 0.9× 495 1.1× 288 0.7× 197 0.6× 165 0.9× 30 983
Sonal Rajyaguru 588 1.1× 728 1.7× 550 1.3× 270 0.8× 191 1.0× 25 1.1k
Marija Prhavc 385 0.7× 166 0.4× 274 0.7× 356 1.1× 178 0.9× 30 795
Cynthia A. Gates 345 0.6× 436 1.0× 408 1.0× 295 0.9× 129 0.7× 31 1.2k
Gulrez Fazal 267 0.5× 371 0.9× 275 0.7× 207 0.6× 257 1.3× 16 810
Balasubramanian Venkatakrishnan 235 0.4× 339 0.8× 501 1.2× 499 1.5× 43 0.2× 21 1.1k

Countries citing papers authored by Tony Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Tony Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Whitaker

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Whitaker. A scholar is included among the top collaborators of Tony Whitaker 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 Tony Whitaker. Tony Whitaker 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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