David V. Cooper

650 citations
22 papers · 432 · 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 427 citations

Peers

David V. Cooper
Comparison fields: 5 of 32
  • Microbiology 156
  • Infectious Diseases 323
  • Agronomy and Crop Science 88
  • Epidemiology 265
  • Small Animals 37
Replace Jemma Bergfeld with:
Jemma Bergfeld Australia
Jacques Godfroid Norway
Alex Wandeler Canada
Ernest Eblate Tanzania
Natasha Speight Australia
Jennifer L. Malmberg United States
T.J. Ryan New Zealand
Ronald Schröder Germany
M.M. Cooke New Zealand
Pam Whiteley Australia
David V. Cooper relative to Jemma Bergfeld Australia Jemma Bergfeld's profile →
Citations per field
00.5×1.5×2.3×
Jemma Bergfeld · 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 200583
2 201439
3 201536
4 201134
5 201627
6 201723
7 201421
8 200917
9 201717
10 201916
11 201914
12 201814
13 202113
14 201212
15 201812
16 201912
17 202211
18 20208
19 20207
20 20216

About David V. Cooper

David V. Cooper is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Agronomy and Crop Science and Molecular Biology, having authored 22 papers that have together received 432 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (19 papers), Microbial infections and disease research (11 papers), Animal Disease Management and Epidemiology (4 papers), vaccines and immunoinformatics approaches (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 (156 citations), Infectious Diseases (323 citations), Agronomy and Crop Science (88 citations), Epidemiology (265 citations) and Small Animals (37 citations). David V. Cooper has collaborated with scholars based in South Africa, United States and Netherlands. Frequent co-authors include Paul D. van Helden, Michele A. Miller, Sven D.C. Parsons, Wynand J. Goosen, Anna E. Jolles, Simon A. Levin, Robin M. Warren, Charlene Clarke, Eduard O. Roos and Tanya J. Kerr. Their work appears in journals such as Veterinary Immunology and Immunopathology, Scientific Reports, Journal of Wildlife Diseases, Preventive Veterinary Medicine 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.

Explore authors with similar magnitude of impact