Gregory P. Harhay

116 total papers · 3.5k total citations
60 papers, 1.6k citations indexed

About

Gregory P. Harhay is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Gregory P. Harhay has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Genetics and 14 papers in Ecology. Recurrent topics in Gregory P. Harhay's work include Bacteriophages and microbial interactions (13 papers), Microbial infections and disease research (12 papers) and Salmonella and Campylobacter epidemiology (10 papers). Gregory P. Harhay is often cited by papers focused on Bacteriophages and microbial interactions (13 papers), Microbial infections and disease research (12 papers) and Salmonella and Campylobacter epidemiology (10 papers). Gregory P. Harhay collaborates with scholars based in United States, Germany and China. Gregory P. Harhay's co-authors include Timothy P. L. Smith, James L. Bono, Michael P. Heaton, Dayna M. Harhay, Michael L. Clawson, J. W. Keele, William W. Laegreid, Carol G. Chitko-McKown, Lisa M. Durso and Adam M. Phillippy and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Gregory P. Harhay

59 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Gregory P. Harhay 702 456 291 237 196 60 1.6k
Carol G. Chitko-McKown 446 0.6× 520 1.1× 408 1.4× 89 0.4× 261 1.3× 72 1.7k
Suizhong Cao 579 0.8× 297 0.7× 196 0.7× 90 0.4× 245 1.3× 98 1.5k
Changmin Hu 577 0.8× 135 0.3× 203 0.7× 209 0.9× 334 1.7× 104 1.8k
Marco Iannaccone 559 0.8× 154 0.3× 96 0.3× 223 0.9× 246 1.3× 53 1.5k
Elizabeth A. Maga 963 1.4× 764 1.7× 238 0.8× 68 0.3× 258 1.3× 65 1.8k
L. Bonizzi 562 0.8× 236 0.5× 343 1.2× 100 0.4× 328 1.7× 82 1.8k
D. E. Tribe 1.3k 1.8× 244 0.5× 211 0.7× 106 0.4× 566 2.9× 70 2.4k
Shaoming Fang 886 1.3× 309 0.7× 168 0.6× 94 0.4× 269 1.4× 43 1.5k
Yuliaxis Ramayo‐Caldas 991 1.4× 956 2.1× 287 1.0× 121 0.5× 257 1.3× 83 2.3k
Michael J. Calcutt 589 0.8× 242 0.5× 112 0.4× 366 1.5× 132 0.7× 69 1.3k

Countries citing papers authored by Gregory P. Harhay

Since Specialization
Citations

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

Fields of papers citing papers by Gregory P. Harhay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory P. Harhay. 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 Gregory P. Harhay. The network helps show where Gregory P. Harhay may publish in the future.

Co-authorship network of co-authors of Gregory P. Harhay

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory P. Harhay. A scholar is included among the top collaborators of Gregory P. Harhay 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 Gregory P. Harhay. Gregory P. Harhay 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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