David R. Greig

76 total papers · 1.1k total citations
51 papers, 585 citations indexed

About

David R. Greig is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, David R. Greig has authored 51 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Endocrinology, 26 papers in Infectious Diseases and 21 papers in Food Science. Recurrent topics in David R. Greig's work include Escherichia coli research studies (30 papers), Viral gastroenteritis research and epidemiology (25 papers) and Salmonella and Campylobacter epidemiology (20 papers). David R. Greig is often cited by papers focused on Escherichia coli research studies (30 papers), Viral gastroenteritis research and epidemiology (25 papers) and Salmonella and Campylobacter epidemiology (20 papers). David R. Greig collaborates with scholars based in United Kingdom, United States and Saudi Arabia. David R. Greig's co-authors include Claire Jenkins, Timothy J. Dallman, Marie Anne Chattaway, Saheer E. Gharbia, Gauri Godbole, Satheesh Nair, Katie L. Hopkins, Hassan Hartman, Ulf Schaefer and Lisa Byrne and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

David R. Greig

48 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
David R. Greig 323 232 199 141 129 51 585
Josefina Campos 233 0.7× 251 1.1× 106 0.5× 117 0.8× 95 0.7× 44 594
Yanmei Xu 366 1.1× 163 0.7× 264 1.3× 107 0.8× 89 0.7× 24 669
Mariana Pichel 410 1.3× 245 1.1× 147 0.7× 123 0.9× 76 0.6× 34 627
Lin Teng 196 0.6× 223 1.0× 116 0.6× 175 1.2× 125 1.0× 33 628
Tetsuya Harada 233 0.7× 212 0.9× 265 1.3× 188 1.3× 76 0.6× 42 639
Bo Pang 340 1.1× 201 0.9× 101 0.5× 88 0.6× 86 0.7× 50 585
María Pardos de la Gándara 238 0.7× 261 1.1× 202 1.0× 312 2.2× 58 0.4× 32 655
Lauren A. Cowley 265 0.8× 127 0.5× 218 1.1× 124 0.9× 168 1.3× 22 566
Scott S. Crupper 192 0.6× 199 0.9× 143 0.7× 112 0.8× 48 0.4× 30 559
Bok-Kwon Lee 325 1.0× 232 1.0× 110 0.6× 152 1.1× 110 0.9× 25 605

Countries citing papers authored by David R. Greig

Since Specialization
Citations

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

Fields of papers citing papers by David R. Greig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Greig

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