Kerry E. Simpson

36 papers receiving 2.0k citations

Kerry E. Simpson's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication200400600

Peers

Kerry E. Simpson
Comparison fields: 5 of 118
  • Infectious Diseases 741
  • Applied Microbiology and Biotechnology 44
  • Small Animals 134
  • Equine 28
  • Neurology 204
Replace Michael A. Owston with:
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Countries citing papers authored by Kerry E. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Kerry E. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerry E. Simpson. 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 Kerry E. Simpson. The network helps show where Kerry E. Simpson may publish in the future.

Co-authors

The 25 scholars most cited alongside Kerry E. Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kerry E. Simpson Line = papers co-authored together Kerry E. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
3
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
4 2007137
5
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
6 200768
7 200662
8 200660
9 202356
10 200749
11 200645
12 200539
13 200326
14 200821
15 200820
16 202316
17 201216
18 201515
19 201014
20 201014

About Kerry E. Simpson

Kerry E. Simpson is a scholar working on Small Animals, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Epidemiology and Equine, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiovascular Conditions and Treatments (9 papers), Veterinary Medicine and Surgery (5 papers), Cardiovascular Function and Risk Factors (4 papers), Congenital Heart Disease Studies (4 papers), Cardiac Imaging and Diagnostics (4 papers), COVID-19 Clinical Research Studies (3 papers), Veterinary Equine Medical Research (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (741 citations), Applied Microbiology and Biotechnology (44 citations), Small Animals (134 citations), Equine (28 citations) and Neurology (204 citations). Kerry E. Simpson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Danièlle A. Gunn-Moore, BRENDAN M. CORCORAN, Anne T. French, Darren J. Shaw, Joanna Dukes‐McEwan, Carmel Mary MORAN, H. Koffas, Vassilis Sboros, W. Norman McDicken and Nicki Reed. Their work appears in journals such as Journal of Feline Medicine and Surgery, Journal of Veterinary Internal Medicine, Nature, Veterinary Radiology & Ultrasound and Cytokine.

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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