Peter Irwin

7.2k citations
150 papers · 5.2k · h-index 40

Impact in

  • Parasitology top 0.05%
    • Vector-borne infectious diseases
    • Parasitic Infections and Diagnostics
    • Parasites and Host Interactions
    • Viral Infections and Vectors

Papers in

Peter Irwin

148 papers receiving 4.9k citations

Peers

Peter Irwin
Comparison fields: 5 of 144
  • Parasitology 3.5k
  • Infectious Diseases 2.5k
  • Virology 292
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Small Animals 400
Replace Mario T. Philipp with:
Mario T. Philipp United States
Elizabeth S. Didier United States
Matthieu Million France
Stephen W. Barthold United States
Zhao‐Rong Lun China
Benjamin J. Luft United States
Hany M. Elsheikha United Kingdom
H. Ray Gamble United States
Martin H. Groschup Germany
Jerzy M. Behnke United Kingdom
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Citations per field
00.5×3.6×
Mario T. Philipp · 1×
Citations per year

Countries citing papers authored by Peter Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Peter Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000267
2 2004259
3 2009206
4 2006152
5 2018142
6 2011127
7 2004111
8 2002110
9 2007103
10 2010101
11 200695
12 200390
13 200686
14 200985
15 201583
16 200782
17 200482
18 198182
19 199181
20 200380

About Peter Irwin

Peter Irwin is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health and Epidemiology, having authored 150 papers that have together received 5.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (68 papers), Viral Infections and Vectors (48 papers), Vector-Borne Animal Diseases (26 papers), Parasitic Infections and Diagnostics (15 papers), Insect symbiosis and bacterial influences (11 papers), Mosquito-borne diseases and control (11 papers), Parasite Biology and Host Interactions (8 papers) and Trypanosoma species research and implications (8 papers). The work is most often cited by research in Parasitology (3.5k citations), Infectious Diseases (2.5k citations), Virology (292 citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Small Animals (400 citations). Peter Irwin has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Una Ryan, Ian Robertson, Rebecca J. Traub, Richard C. Thompson, Norbert Mencke, Charlotte L. Oskam, Andrea Paparini, Max Fink, Alexander W. Gofton and Alan J. Lymbery. Their work appears in journals such as Australian Veterinary Journal, Parasites & Vectors, Veterinary Parasitology, Experimental Parasitology and Trends in Parasitology.

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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