Philip Willson

4.2k citations
81 papers · 3.3k indexed · h-index 34

Impact in

Papers in

Philip Willson

81 papers receiving 3.2k citations

Peers

Philip Willson
Comparison fields: 5 of 129
  • Microbiology 708
  • Animal Science and Zoology 867
  • Infectious Diseases 1.1k
  • Process Chemistry and Technology 121
  • Endocrinology 186
Replace P. J. Blackall with:
P. J. Blackall Australia
W. J. M. Landman Netherlands
Hugh G.G. Townsend Canada
Andreas Hensel Germany
Susan Sánchez United States
Sofie Piepers Belgium
Peter R. Davies United States
F. van Knapen Netherlands
Peter Ahrens Denmark
John Deen United States
Philip Willson relative to P. J. Blackall Australia P. J. Blackall's profile →
Citations per field
00.5×
P. J. Blackall · 1×
Citations per year

Countries citing papers authored by Philip Willson

Since Specialization
Citations

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

Fields of papers citing papers by Philip Willson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolation of circovirus from lesions of pigs with postweaning multisystemic wasting syndrome.
1998466
2 2004156
3 2003138
4 2006131
5 1992104
6 200796
7 200392
8 200690
9 200588
10 200184
11 200672
12 200872
13 200470
14 199465
15 199365
16 200062
17 200061
18 200560
19 200259
20 200856

About Philip Willson

Philip Willson is a scholar working on Immunology, Infectious Diseases, Microbiology, Public Health, Environmental and Occupational Health and Animal Science and Zoology, having authored 81 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), Viral gastroenteritis research and epidemiology (13 papers), Streptococcal Infections and Treatments (12 papers), Animal Virus Infections Studies (11 papers), Antimicrobial Peptides and Activities (11 papers), Indoor Air Quality and Microbial Exposure (10 papers), Microbial infections and disease research (9 papers) and Air Quality and Health Impacts (7 papers). The work is most often cited by research in Microbiology (708 citations), Animal Science and Zoology (867 citations), Infectious Diseases (1.1k citations), Process Chemistry and Technology (121 citations) and Endocrinology (186 citations). Philip Willson has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Andrew Potter, Susantha Gomis, Lorne A. Babiuk, Brenda Allan, Marcelo Gottschalk, José Perez‐Casal, Sonia Lacouture, Shichun Lun, John C. S. Harding and Shelley Kirychuk. Their work appears in journals such as Avian Diseases, Vaccine, Infection and Immunity, Scientific Reports and Poultry Science.

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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