Phillip C. Gauger

8.1k total citations · 2 hit papers
207 papers, 5.6k citations indexed

About

Phillip C. Gauger is a scholar working on Animal Science and Zoology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Phillip C. Gauger has authored 207 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Animal Science and Zoology, 133 papers in Infectious Diseases and 87 papers in Epidemiology. Recurrent topics in Phillip C. Gauger's work include Animal Virus Infections Studies (147 papers), Viral gastroenteritis research and epidemiology (129 papers) and Influenza Virus Research Studies (71 papers). Phillip C. Gauger is often cited by papers focused on Animal Virus Infections Studies (147 papers), Viral gastroenteritis research and epidemiology (129 papers) and Influenza Virus Research Studies (71 papers). Phillip C. Gauger collaborates with scholars based in United States, United Kingdom and China. Phillip C. Gauger's co-authors include Amy L. Vincent, Jianqiang Zhang, Karen M. Harmon, Rodger Main, Ganwu Li, Crystal L. Loving, Kelly M. Lager, Tavis K. Anderson, Kyoung‐Jin Yoon and Eric Burrough and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Phillip C. Gauger

196 papers receiving 5.5k citations

Hit Papers

Isolation and Characterization of Porcine Epidemic Diarrh... 2013 2026 2017 2021 2013 2024 100 200 300

Peers

Phillip C. Gauger
Kelly M. Lager United States
Ben M. Hause United States
Kurt Rossow United States
G. Koch Netherlands
Phillip C. Gauger
Citations per year, relative to Phillip C. Gauger Phillip C. Gauger (= 1×) peers Guangzhi Tong

Countries citing papers authored by Phillip C. Gauger

Since Specialization
Citations

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

Fields of papers citing papers by Phillip C. Gauger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip C. Gauger. 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 Phillip C. Gauger. The network helps show where Phillip C. Gauger may publish in the future.

Co-authorship network of co-authors of Phillip C. Gauger

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip C. Gauger. A scholar is included among the top collaborators of Phillip C. Gauger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip C. Gauger. Phillip C. Gauger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guo, Baoqing, et al.. (2025). Optimizing Tongue Fluid Sampling and Testing Protocols for Enhanced PRRSV Isolation from Perinatal Swine Mortalities. Viruses. 17(1). 102–102. 1 indexed citations
2.
Crisci, Elisa, et al.. (2025). Challenges and Lessons Learned from a Field Trial on the Understanding of the Porcine Respiratory Disease Complex. Vaccines. 13(7). 740–740. 1 indexed citations
3.
Thomas, Megan N., et al.. (2024). 2018-2019 human seasonal H3N2 influenza A virus spillovers into swine with demonstrated virus transmission in pigs were not sustained in the pig population. Journal of Virology. 98(12). e0008724–e0008724. 1 indexed citations
4.
Jones, Cassandra K, Charles R. Stark, Jianfa Bai, et al.. (2024). Evaluation of Truck Cab Decontamination Procedures following Inoculation with Porcine Epidemic Diarrhea Virus and Porcine Reproductive and Respiratory Syndrome Virus. Animals. 14(2). 280–280. 4 indexed citations
5.
Baker, Amy L. Vincent, Rodney B. Baker, Jianqiang Zhang, et al.. (2024). Detection and Characterization of Influenza A Virus Endemic Circulation in Suckling and Nursery Pigs Originating from Vaccinated Farms in the Same Production System. Viruses. 16(4). 626–626. 2 indexed citations
6.
Mainenti, Marta, Drew R. Magstadt, Phillip C. Gauger, et al.. (2024). Distribution of lesions and detection of influenza A(H5N1) virus, clade 2.3.4.4b, in ante- and postmortem samples from naturally infected domestic cats on U.S. dairy farms. Journal of Veterinary Diagnostic Investigation. 37(1). 27–35. 14 indexed citations
7.
Zeller, Michael, Megan N. Thomas, Tavis K. Anderson, et al.. (2024). Influenza A Virus Detection at the Human–Swine Interface in US Midwest Swine Farms. Viruses. 16(12). 1921–1921. 2 indexed citations
8.
Souza, Carine K., J. Brian Kimble, Tavis K. Anderson, et al.. (2023). Swine-to-Ferret Transmission of Antigenically Drifted Contemporary Swine H3N2 Influenza A Virus Is an Indicator of Zoonotic Risk to Humans. Viruses. 15(2). 331–331. 2 indexed citations
9.
Li, Peng, Bharat Jayaraman, Giovani Trevisan, et al.. (2023). A cross-sectional assessment of PRRSV nucleic acid detection by RT-qPCR in serum, ear-vein blood swabs, nasal swabs, and oral swabs from weaning-age pigs under field conditions. Frontiers in Veterinary Science. 10. 1200376–1200376. 4 indexed citations
11.
Zeller, Michael, Giovani Trevisan, Daniel Linhares, et al.. (2022). PRRSView. 1–1.
13.
Zeller, Michael, Jennifer Chang, Amy L. Vincent, Phillip C. Gauger, & Tavis K. Anderson. (2021). Spatial and temporal coevolution of N2 neuraminidase and H1 and H3 hemagglutinin genes of influenza A virus in US swine. Virus Evolution. 7(2). veab090–veab090. 17 indexed citations
14.
Anderson, Tavis K., Diego G. Diel, Elizabeth G. Porter, et al.. (2021). The United States Swine Pathogen Database: integrating veterinary diagnostic laboratory sequence data to monitor emerging pathogens of swine. Database. 2021. 5 indexed citations
15.
Zeller, Michael, Phillip C. Gauger, Zebulun Arendsee, et al.. (2021). Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine. mSphere. 6(2). 19 indexed citations
16.
Trevisan, Giovani, Phillip C. Gauger, Karen M. Harmon, et al.. (2021). PRRSV2 genetic diversity defined by RFLP patterns in the United States from 2007 to 2019. Journal of Veterinary Diagnostic Investigation. 33(5). 920–931. 18 indexed citations
17.
Trevisan, Giovani, Ganwu Li, Katie Coleman, et al.. (2021). Complete Coding Genome Sequence of a Novel Porcine Reproductive and Respiratory Syndrome Virus 2 Restriction Fragment Length Polymorphism 1-4-4 Lineage 1C Variant Identified in Iowa, USA. Microbiology Resource Announcements. 10(21). 30 indexed citations
18.
Meliopoulos, Victoria, Sean Cherry, Nicholas Wohlgemuth, et al.. (2020). Primary Swine Respiratory Epithelial Cell Lines for the Efficient Isolation and Propagation of Influenza A Viruses. Journal of Virology. 94(24). 13 indexed citations
19.
Pillatzki, Angela, Phillip C. Gauger, Darin Madson, et al.. (2015). Experimental inoculation of neonatal piglets with feed naturally contaminated with porcine epidemic diarrhea virus. Journal of Swine Health and Production. 23(6). 317–320. 8 indexed citations
20.
Ma, Wenjun, Amy L. Vincent, Marie Gramer, et al.. (2007). Identification of H2N3 influenza A viruses from swine in the United States. Proceedings of the National Academy of Sciences. 104(52). 20949–20954. 173 indexed citations

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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