David V. Cooper

658 citations
22 papers · 437 · h-index 13

Impact in

    • Microbial infections and disease research
    • Tuberculosis Research and Epidemiology
    • Viral Infections and Vectors

Papers in

David V. Cooper

22 papers receiving 432 citations

Peers

David V. Cooper
Comparison fields: 5 of 31
  • Microbiology 148
  • Infectious Diseases 317
  • Agronomy and Crop Science 87
  • Epidemiology 252
  • Small Animals 39
Replace Alex Wandeler with:
Alex Wandeler Canada
Jacques Godfroid Norway
Anne-Laure Guiot France
Ernest Eblate Tanzania
Natasha Speight Australia
T.J. Ryan New Zealand
Jennifer L. Malmberg United States
Ênio Mori Brazil
Nelson Marreros Switzerland
Freeland Dunker United States
David V. Cooper relative to Alex Wandeler Canada Alex Wandeler's profile →
Citations per field
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Alex Wandeler · 1×
Citations per year

Countries citing papers authored by David V. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by David V. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David V. Cooper, 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 David V. Cooper Line = papers co-authored together David V. Cooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200585
2 201439
3 201537
4 201134
5 201627
6 201723
7 201421
8 201717
9 201917
10 200917
11 201815
12 201914
13 202113
14 201912
15 201812
16 201212
17 202211
18 20208
19 20207
20 20216

About David V. Cooper

David V. Cooper is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Molecular Biology and Agronomy and Crop Science, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (18 papers), Microbial infections and disease research (11 papers), vaccines and immunoinformatics approaches (3 papers), Animal Disease Management and Epidemiology (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Viral Infections and Vectors (2 papers) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Microbiology (148 citations), Infectious Diseases (317 citations), Agronomy and Crop Science (87 citations), Epidemiology (252 citations) and Small Animals (39 citations). David V. Cooper has collaborated with scholars based in South Africa, United States and Netherlands. Frequent co-authors include Paul D. van Helden, Sven D.C. Parsons, Michele A. Miller, Wynand J. Goosen, Simon A. Levin, Anna E. Jolles, Robin M. Warren, Charlene Clarke, Eduard O. Roos and Tanya J. Kerr. Their work appears in journals such as Veterinary Immunology and Immunopathology, Journal of Wildlife Diseases, Preventive Veterinary Medicine, Scientific Reports and Ecology.

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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