Jennifer H. Gray

9 total papers · 632 total citations
5 papers, 477 citations indexed

About

Jennifer H. Gray is a scholar working on Physiology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Jennifer H. Gray has authored 5 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Jennifer H. Gray's work include Adenosine and Purinergic Signaling (4 papers), HIV/AIDS drug development and treatment (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Jennifer H. Gray is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), HIV/AIDS drug development and treatment (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). Jennifer H. Gray collaborates with scholars based in United States. Jennifer H. Gray's co-authors include Ryan Owen, Kathleen M. Giacomini, Thomas E. Ferrin, Conrad C. Huang, Michiko Kawamoto, Susan J. Johns, Elaine J. Carlson, Christian S. Fahlman, William McKleroy and Philip E. Bickler and has published in prestigious journals such as Neuroscience, Molecular Pharmacology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Jennifer H. Gray

5 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer H. Gray 235 155 135 79 78 5 477
Kathleen M. Giacomini 80 0.3× 307 2.0× 109 0.8× 42 0.5× 176 2.3× 12 475
Yoshiyuki Tenda 35 0.1× 307 2.0× 127 0.9× 24 0.3× 207 2.7× 10 542
Hong Wang 40 0.2× 191 1.2× 155 1.1× 46 0.6× 56 0.7× 8 404
Hendrik J. Agteresch 227 1.0× 29 0.2× 98 0.7× 36 0.5× 52 0.7× 11 499
Imrana Qawi 228 1.0× 21 0.1× 76 0.6× 10 0.1× 27 0.3× 5 464
Anatoly I. Masyuk 73 0.3× 105 0.7× 167 1.2× 8 0.1× 27 0.3× 11 417
T Tatsuta 13 0.1× 363 2.3× 154 1.1× 37 0.5× 204 2.6× 8 482
Markus Bach 51 0.2× 64 0.4× 231 1.7× 10 0.1× 20 0.3× 8 464
P. A. Huott 63 0.3× 81 0.5× 283 2.1× 37 0.5× 15 0.2× 8 518
Leonóra Himer 409 1.7× 47 0.3× 126 0.9× 4 0.1× 13 0.2× 8 550

Countries citing papers authored by Jennifer H. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer H. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer H. Gray. 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 Jennifer H. Gray. The network helps show where Jennifer H. Gray may publish in the future.

Co-authorship network of co-authors of Jennifer H. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer H. Gray. A scholar is included among the top collaborators of Jennifer H. Gray 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 Jennifer H. Gray. Jennifer H. Gray 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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