John Pasick

3.5k citations
80 papers · 2.5k · h-index 29

Impact in

Papers in

John Pasick

80 papers receiving 2.5k citations

Peers

John Pasick
Comparison fields: 5 of 87
  • Agronomy and Crop Science 1.2k
  • Infectious Diseases 1.2k
  • Animal Science and Zoology 644
  • Epidemiology 1.5k
  • Immunology 284
Replace Christian Grund with:
Christian Grund Germany
Jutta Veits Germany
Kenji Tsukamoto Japan
Yohannes Berhane Canada
Kangzhen Yu China
Bénédicte Lambrecht Belgium
Shigeo Yamaguchi Japan
Guus Koch Netherlands
Hongjun Chen China
Ann Cullinane Ireland
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Citations per field
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Citations per year

Countries citing papers authored by John Pasick

Since Specialization
Citations

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

Fields of papers citing papers by John Pasick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014153
2 2005150
3
An investigation into human pandemic influenza virus (H1N1) 2009 on an Alberta swine farm.
2009140
4 2015139
5 2002131
6 2009114
7 201294
8
The first case of porcine epidemic diarrhea in Canada.
201591
9 201279
10 200779
11 200466
12 200964
13 200456
14 200752
15 199447
16 200643
17 201442
18 201040
19 201136
20 201134

About John Pasick

John Pasick is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (50 papers), Influenza Virus Research Studies (48 papers), Animal Virus Infections Studies (21 papers), Viral gastroenteritis research and epidemiology (18 papers), Viral Infections and Vectors (15 papers), Respiratory viral infections research (12 papers), Viral Infections and Immunology Research (8 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Agronomy and Crop Science (1.2k citations), Infectious Diseases (1.2k citations), Animal Science and Zoology (644 citations), Epidemiology (1.5k citations) and Immunology (284 citations). John Pasick has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Yohannes Berhane, Søren Alexandersen, Helen Kehler, Katherine Handel, Tamiko Hisanaga, Hana M. Weingartl, James Neufeld, Carissa Embury‐Hyatt, Sandra Diederich and John Copps. Their work appears in journals such as Transboundary and Emerging Diseases, Avian Diseases, Journal of Virology, Journal of General Virology and Journal of Wildlife 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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