Andrew D.J. Pearson

87 total papers · 2.7k total citations
42 papers, 1.6k citations indexed

About

Andrew D.J. Pearson is a scholar working on Infectious Diseases, Food Science and Neurology. According to data from OpenAlex, Andrew D.J. Pearson has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 14 papers in Food Science and 6 papers in Neurology. Recurrent topics in Andrew D.J. Pearson's work include Salmonella and Campylobacter epidemiology (14 papers), Viral gastroenteritis research and epidemiology (7 papers) and Neuroblastoma Research and Treatments (5 papers). Andrew D.J. Pearson is often cited by papers focused on Salmonella and Campylobacter epidemiology (14 papers), Viral gastroenteritis research and epidemiology (7 papers) and Neuroblastoma Research and Treatments (5 papers). Andrew D.J. Pearson collaborates with scholars based in United Kingdom, United States and Spain. Andrew D.J. Pearson's co-authors include T. D. Healing, R. R. Colwell, M. Shahamat, M. Greenwood, Diane G. Newell, J L Penner, Janet R. Donaldson, Rita R. Colwell, David M. Rollins and David Hussong and has published in prestigious journals such as The Lancet, Nature Biotechnology and Applied and Environmental Microbiology.

In The Last Decade

Andrew D.J. Pearson

39 papers receiving 1.5k citations

Author Peers

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

Author						Papers	Cites
Andrew D.J. Pearson	950	586	304	231	209	42	1.6k
Serge Messier	740 0.8×	433 0.7×	170 0.6×	244 1.1×	213 1.0×	66	1.6k
Andrew Lawson	1.1k 1.1×	725 1.2×	191 0.6×	304 1.3×	262 1.3×	73	1.8k
Andrew Wales	1.1k 1.1×	600 1.0×	544 1.8×	283 1.2×	340 1.6×	65	2.2k
F. J. Bolton	1.4k 1.5×	711 1.2×	255 0.8×	175 0.8×	581 2.8×	36	1.9k
David M. Rollins	974 1.0×	599 1.0×	528 1.7×	272 1.2×	285 1.4×	31	1.7k
Brigid Lucey	839 0.9×	686 1.2×	210 0.7×	262 1.1×	164 0.8×	84	1.5k
A Burnens	854 0.9×	692 1.2×	273 0.9×	298 1.3×	169 0.8×	53	1.8k
Ozan Gundogdu	1.0k 1.1×	578 1.0×	282 0.9×	486 2.1×	158 0.8×	72	1.8k
Roger A. Feldman	595 0.6×	566 1.0×	378 1.2×	120 0.5×	105 0.5×	54	1.9k
Bradford P. Smith	839 0.9×	723 1.2×	408 1.3×	126 0.5×	151 0.7×	79	1.9k

Countries citing papers authored by Andrew D.J. Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew D.J. Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D.J. Pearson. 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 Andrew D.J. Pearson. The network helps show where Andrew D.J. Pearson may publish in the future.

Co-authorship network of co-authors of Andrew D.J. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D.J. Pearson. A scholar is included among the top collaborators of Andrew D.J. Pearson 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 Andrew D.J. Pearson. Andrew D.J. Pearson 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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