Patricia Reed

51 total papers · 3.4k total citations
26 papers, 1.3k citations indexed

About

Patricia Reed is a scholar working on Epidemiology, Infectious Diseases and Virology. According to data from OpenAlex, Patricia Reed has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Infectious Diseases and 8 papers in Virology. Recurrent topics in Patricia Reed's work include HIV Research and Treatment (8 papers), Virology and Viral Diseases (7 papers) and Primate Behavior and Ecology (7 papers). Patricia Reed is often cited by papers focused on HIV Research and Treatment (8 papers), Virology and Viral Diseases (7 papers) and Primate Behavior and Ecology (7 papers). Patricia Reed collaborates with scholars based in United States, Gabon and France. Patricia Reed's co-authors include Preston A. Marx, William B. Karesh, David D. Ho, Zhiwei Chen, L Zhang, Agegnehu Gettie, Eric M. Leroy, Pierre Rouquet, Paul Telfer and Philippe Yaba and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Patricia Reed

26 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Reed 600 481 383 269 220 26 1.3k
Eitel Mpoudi Ngole 750 1.3× 563 1.2× 409 1.1× 318 1.2× 214 1.0× 33 1.5k
Richard Grant 637 1.1× 635 1.3× 614 1.6× 132 0.5× 168 0.8× 44 1.4k
Sévérin Loul 565 0.9× 892 1.9× 603 1.6× 153 0.6× 268 1.2× 19 1.5k
Fran Van Heuverswyn 473 0.8× 698 1.5× 419 1.1× 144 0.5× 166 0.8× 10 1.1k
Sandrine Souquière 818 1.4× 760 1.6× 705 1.8× 99 0.4× 272 1.2× 36 1.7k
Paul Telfer 333 0.6× 566 1.2× 445 1.2× 90 0.3× 168 0.8× 29 1.6k
Cynthia M. Rodenburg 688 1.1× 912 1.9× 498 1.3× 382 1.4× 200 0.9× 14 1.6k
Jun Takehisa 772 1.3× 1.0k 2.2× 512 1.3× 172 0.6× 169 0.8× 38 1.7k
Vinod Bhullar 251 0.4× 387 0.8× 548 1.4× 133 0.5× 240 1.1× 15 1.2k
Felix Lankester 392 0.7× 445 0.9× 435 1.1× 179 0.7× 296 1.3× 62 1.3k

Countries citing papers authored by Patricia Reed

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Reed

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