Rob Bildfell

564 citations
23 papers · 454 · h-index 12

Impact in

Papers in

Rob Bildfell

23 papers receiving 413 citations

Peers

Rob Bildfell
Comparison fields: 5 of 81
  • Animal Science and Zoology 114
  • Parasitology 53
  • Immunology 135
  • Small Animals 36
  • Virology 21
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Tsang-Long Lin United States
Albeiro López Herrera Colombia
M. J. CARRIGAN Australia
Patrick Shearer Australia
Hiromu Katamoto Japan
J Guelfi France
U. Orgad Israel
Lih‐Chiann Wang Taiwan
Denis Soubieux France
Amy Boyd United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Rob Bildfell

Since Specialization
Citations

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

Fields of papers citing papers by Rob Bildfell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011117
2 200250
3 199235
4 201832
5 200930
6 201029
7 200426
8 200925
9 199523
10 200315
11 201013
12 201512
13 201310
14
Porcine ketosis: a case report and literature summary
19947
15
H3N2 influenza A virus recovered from a neonatal pig in Ontario--1997.
19997
16 20106
17 20135
18 19963
19 20213
20 20172

About Rob Bildfell

Rob Bildfell is a scholar working on Epidemiology, Animal Science and Zoology, Genetics, Parasitology and Infectious Diseases, having authored 23 papers that have together received 454 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Toxoplasma gondii Research Studies (3 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Microbial infections and disease research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Disease Management and Epidemiology (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Animal Science and Zoology (114 citations), Parasitology (53 citations), Immunology (135 citations), Small Animals (36 citations) and Virology (21 citations). Rob Bildfell has collaborated with scholars based in United States and Canada. Frequent co-authors include Ling Jin, Jerry R. Heidel, Alfonso López, Scott E. LaPatra, Michael L. Kent, G. Watson, Gita Cherian, Colin M. Gillin, Megan Moerdyk‐Schauwecker and Patrick J. Ward. Their work appears in journals such as Journal of Wildlife Diseases, Journal of Veterinary Diagnostic Investigation, Veterinary Pathology, Journal of Virology and Antiviral Therapy.

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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