Peter Markey

1.0k citations
47 papers · 767 · h-index 16

Impact in

Papers in

Peter Markey

43 papers receiving 720 citations

Peers

Peter Markey
Comparison fields: 5 of 92
  • Infectious Diseases 242
  • Public Health, Environmental and Occupational Health 239
  • Epidemiology 238
  • Parasitology 47
  • Modeling and Simulation 28
Replace Paul Armstrong with:
Paul Armstrong Australia
C. P. Girish Kumar India
Samuel Oko Sackey Ghana
María Rosario Capeding Philippines
Cecilia Perret Chile
Theano Georgakopoulou Greece
Yvon Perrin France
Sriluck Simasathien Thailand
Yitayal Shiferaw Ethiopia
Raouf R. Arafat United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Markey

Since Specialization
Citations

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

Fields of papers citing papers by Peter Markey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Markey. 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 Peter Markey. The network helps show where Peter Markey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201185
2 201480
3
The Darwin Prospective Melioidosis Study: a 30-year prospective, observational investigation
202157
4 201855
5 200843
6 200934
7 201133
8 200128
9 201227
10 201925
11 202022
12 201521
13
Outbreak of Yersinia pseudotuberculosis in British Columbia--November 1998.
199920
14 201919
15 200118
16 201516
17 201215
18 201315
19 201213
20 202012

About Peter Markey

Peter Markey is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Microbiology and Food Science, having authored 47 papers that have together received 767 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Bacterial Infections and Vaccines (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (242 citations), Public Health, Environmental and Occupational Health (239 citations), Epidemiology (238 citations), Parasitology (47 citations) and Modeling and Simulation (28 citations). Peter Markey has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Vicki Krause, Bart J. Currie, David W. Smith, Peter Schattner, Ann P. Koehler, M.D. Lindsay, Linda Selvey, Sean Tobin, Paul Armstrong and Peter K. Fagan. Their work appears in journals such as Epidemiology and Infection, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, Journal of Infection and Emerging infectious diseases.

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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