David M. Whiley

10.0k total citations · 1 hit paper
244 papers, 6.3k citations indexed

About

David M. Whiley is a scholar working on Microbiology, Physiology and Epidemiology. According to data from OpenAlex, David M. Whiley has authored 244 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Microbiology, 88 papers in Physiology and 77 papers in Epidemiology. Recurrent topics in David M. Whiley's work include Reproductive tract infections research (131 papers), Syphilis Diagnosis and Treatment (87 papers) and Bacterial Infections and Vaccines (78 papers). David M. Whiley is often cited by papers focused on Reproductive tract infections research (131 papers), Syphilis Diagnosis and Treatment (87 papers) and Bacterial Infections and Vaccines (78 papers). David M. Whiley collaborates with scholars based in Australia, United States and United Kingdom. David M. Whiley's co-authors include Theo P. Sloots, Michael D. Nissen, Stephen B. Lambert, Ian M Mackay, Monica M Lahra, John Tapsall, Seweryn Bialasiewicz, Melanie W. Syrmis, Namraj Goire and David Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Nanotechnology.

In The Last Decade

David M. Whiley

237 papers receiving 6.2k citations

Hit Papers

Identification of a Novel Polyomavirus from Patients with... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

David M. Whiley
Comparison fields: 5 of 158
  • Microbiology 2.7k
  • Epidemiology 2.0k
  • Physiology 1.6k
  • Infectious Diseases 1.4k
  • Oncology 880
Replace Theo P. Sloots with:
Theo P. Sloots Australia
James B. Mahony Canada
David Brown United Kingdom
Thomas F. Smith United States
Gary W. Procop United States
Jane Kuypers United States
Steve Miller United States
Kate Templeton United Kingdom
Cláudio Mendes Pannuti Brazil
Mario Poljak Slovenia
Theo P. Sloots Australia View profile →
Citations per field, relative to David M. Whiley
David M. Whiley · 1×
Citations per year, relative to David M. Whiley
David M. Whiley · 1×

Countries citing papers authored by David M. Whiley

Since Specialization
Citations

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

Fields of papers citing papers by David M. Whiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Whiley

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Whiley. A scholar is included among the top collaborators of David M. Whiley 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 M. Whiley. David M. Whiley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 3
3 17
4 1
5 7
6 2
7 3
8 2
9 30
10 6
11 26
12 5
13 29
14 12
15 6
16 11
17 19
18 81
19 137
20
Detection of Influenza type A virus by LightCycler RT-PCR
2

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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