Travis Clement

2.2k total citations
31 papers, 1.3k citations indexed

About

Travis Clement is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Travis Clement has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 21 papers in Animal Science and Zoology and 16 papers in Agronomy and Crop Science. Recurrent topics in Travis Clement's work include Viral gastroenteritis research and epidemiology (21 papers), Animal Virus Infections Studies (21 papers) and Animal Disease Management and Epidemiology (16 papers). Travis Clement is often cited by papers focused on Viral gastroenteritis research and epidemiology (21 papers), Animal Virus Infections Studies (21 papers) and Animal Disease Management and Epidemiology (16 papers). Travis Clement collaborates with scholars based in United States, Brazil and Australia. Travis Clement's co-authors include Eric Nelson, Jane Christopher‐Hennings, Scott Dee, Steven Lawson, Aaron Singrey, Diego G. Diel, David Knudsen, Yīng Fāng, Joel Nerem and Maureen Hoch Vieira Fernandes and has published in prestigious journals such as Journal of Virology, Journal of Clinical Microbiology and Virology.

In The Last Decade

Travis Clement

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Travis Clement United States 19 697 674 605 349 241 31 1.3k
Sanipa Suradhat Thailand 22 829 1.2× 738 1.1× 619 1.0× 438 1.3× 206 0.9× 47 1.5k
Michele Losurdo Italy 23 519 0.7× 348 0.5× 383 0.6× 352 1.0× 224 0.9× 50 1.0k
Ádám Bálint Hungary 20 700 1.0× 626 0.9× 264 0.4× 299 0.9× 151 0.6× 77 1.1k
Florencia Correa‐Fiz Spain 21 449 0.6× 568 0.8× 300 0.5× 423 1.2× 335 1.4× 51 1.2k
Yijun Du China 21 673 1.0× 745 1.1× 218 0.4× 522 1.5× 227 0.9× 71 1.3k
Rosa Rosell Spain 24 548 0.8× 384 0.6× 1.0k 1.7× 135 0.4× 582 2.4× 74 1.4k
Åse Uttenthal Denmark 19 366 0.5× 245 0.4× 514 0.8× 123 0.4× 289 1.2× 39 1.1k
Llilianne Ganges Spain 28 589 0.8× 670 1.0× 1.3k 2.1× 229 0.7× 919 3.8× 84 1.9k
Steven Lawson United States 18 787 1.1× 818 1.2× 198 0.3× 564 1.6× 143 0.6× 25 1.1k
Jinmei Peng China 22 893 1.3× 1.0k 1.5× 240 0.4× 681 2.0× 263 1.1× 67 1.6k

Countries citing papers authored by Travis Clement

Since Specialization
Citations

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

Fields of papers citing papers by Travis Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Clement

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Clement. A scholar is included among the top collaborators of Travis Clement 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 Travis Clement. Travis Clement 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.
Dee, Scott, Travis Clement, & Eric Nelson. (2023). Transmission of porcine reproductive and respiratory syndrome virus in domestic pigs via oral ingestion of feed material. Journal of the American Veterinary Medical Association. 262(1). 1–4. 2 indexed citations
2.
Dee, Scott, R. A. Cochrane, Travis Clement, et al.. (2021). The effect of extended storage on virus survival in feed. Journal of Swine Health and Production. 29(3). 124–128. 3 indexed citations
3.
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
4.
Dee, Scott, R. A. Cochrane, Travis Clement, et al.. (2020). Use of a demonstration project to evaluate viral survival in feed: Proof of concept. Transboundary and Emerging Diseases. 68(2). 248–252. 10 indexed citations
5.
Hause, Ben M., et al.. (2020). Persistent infection of American bison (Bison bison) with bovine viral diarrhea virus and bosavirus. Veterinary Microbiology. 252. 108949–108949. 6 indexed citations
6.
Fernandes, Maureen Hoch Vieira, Mayara F. Maggioli, Lok R. Joshi, et al.. (2018). Pathogenicity and cross-reactive immune responses of a historical and a contemporary Senecavirus A strains in pigs. Virology. 522. 147–157. 34 indexed citations
7.
Chase, Christopher, Robert W. Fulton, Donal O’Toole, et al.. (2017). Bovine herpesvirus 1 modified live virus vaccines for cattle reproduction: Balancing protection with undesired effects. Veterinary Microbiology. 206. 69–77. 59 indexed citations
8.
Chen, Zhenhai, Emily A. Collin, Lalitha Peddireddi, et al.. (2017). Genetic diversity in envelope genes of contemporary U.S. porcine reproductive and respiratory syndrome virus strains influences viral antigenicity. Research in Veterinary Science. 115. 432–441. 5 indexed citations
9.
Clement, Travis, Aaron Singrey, Steven Lawson, et al.. (2016). Measurement of neutralizing antibodies against porcine epidemic diarrhea virus in sow serum, colostrum, and milk samples and piglet serum samples after feedback. Journal of Swine Health and Production. 24(3). 147–153. 20 indexed citations
10.
Joshi, Lok R., Travis Clement, Kyle S. Hain, et al.. (2016). Detection of the Emerging Picornavirus Senecavirus A in Pigs, Mice, and Houseflies. Journal of Clinical Microbiology. 54(6). 1536–1545. 84 indexed citations
11.
Fulton, Robert W., Jean M. d’Offay, Robert A. Smith, et al.. (2016). Detection and characterization of viruses as field and vaccine strains in feedlot cattle with bovine respiratory disease. Vaccine. 34(30). 3478–3492. 36 indexed citations
12.
Okda, Faten A., Steven Lawson, Xiaodong Liu, et al.. (2016). Development of monoclonal antibodies and serological assays including indirect ELISA and fluorescent microsphere immunoassays for diagnosis of porcine deltacoronavirus. BMC Veterinary Research. 12(1). 95–95. 23 indexed citations
13.
Diel, Diego G., Michelle A. Lawson, Faten A. Okda, et al.. (2016). Porcine epidemic diarrhea virus: An overview of current virological and serological diagnostic methods. Virus Research. 226. 60–70. 57 indexed citations
14.
Dee, Scott, Aaron Singrey, Travis Clement, et al.. (2016). Modeling the transboundary risk of feed ingredients contaminated with porcine epidemic diarrhea virus. BMC Veterinary Research. 12(1). 51–51. 69 indexed citations
15.
Joshi, Lok R., Maureen Hoch Vieira Fernandes, Travis Clement, et al.. (2016). Pathogenesis of Senecavirus A infection in finishing pigs. Journal of General Virology. 97(12). 3267–3279. 99 indexed citations
16.
Polson, Dale, et al.. (2015). Variation in porcine reproductive and respiratory syndrome virus open reading frame 5 diagnostic sequencing. Journal of Swine Health and Production. 23(1). 18–27. 1 indexed citations
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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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