Kim Halpin

3.4k citations
35 papers · 2.0k · h-index 20

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
  • Virology top 2%
    • Rabies epidemiology and control

Papers in

Kim Halpin

33 papers receiving 2.0k citations

Peers

Kim Halpin
Comparison fields: 5 of 60
  • Infectious Diseases 1.4k
  • Virology 357
  • Epidemiology 1.5k
  • Agronomy and Crop Science 286
  • Ecology, Evolution, Behavior and Systematics 437
Replace Ina Smith with:
Ina Smith Australia
C. Morrissy Australia
Mary Tachedjian Australia
Carissa Embury‐Hyatt Canada
J. Jeffrey Root United States
Richard Suu‐Ire Ghana
Andrew C. Breed United Kingdom
James Neufeld Canada
Peter Hooper Australia
H. A. Westbury Australia
Kim Halpin relative to Ina Smith Australia Ina Smith's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by Kim Halpin

Since Specialization
Citations

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

Fields of papers citing papers by Kim Halpin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000499
2 2011307
3 2007208
4 2006149
5 2004102
6 200197
7 200890
8 200777
9 200157
10 199951
11 202144
12 200741
13 201038
14 200732
15 202032
16 199631
17 202027
18 201125
19 200621
20 200719

About Kim Halpin

Kim Halpin is a scholar working on Epidemiology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Virology and Agronomy and Crop Science, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virology and Viral Diseases (30 papers), Viral Infections and Vectors (20 papers), Vector-Borne Animal Diseases (9 papers), Rabies epidemiology and control (9 papers), Animal Disease Management and Epidemiology (6 papers), vaccines and immunoinformatics approaches (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Virology (357 citations), Epidemiology (1.5k citations), Agronomy and Crop Science (286 citations) and Ecology, Evolution, Behavior and Systematics (437 citations). Kim Halpin has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Hume Field, P. L. Young, J. S. Mackenzie, Deborah Middleton, Alex D. Hyatt, Peter Daszak, Bruce A. Mungall, Paul A. Rota, John Bingham and Rhys Fogarty. Their work appears in journals such as Australian Veterinary Journal, American Journal of Tropical Medicine and Hygiene, Journal of Virology, Emerging infectious diseases and Revue Scientifique et Technique de l OIE.

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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