Scott J. Wells

4.6k total citations · 1 hit paper
87 papers, 3.4k citations indexed

About

Scott J. Wells is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Scott J. Wells has authored 87 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Epidemiology, 23 papers in Agronomy and Crop Science and 22 papers in Infectious Diseases. Recurrent topics in Scott J. Wells's work include Mycobacterium research and diagnosis (37 papers), Animal Disease Management and Epidemiology (21 papers) and Salmonella and Campylobacter epidemiology (14 papers). Scott J. Wells is often cited by papers focused on Mycobacterium research and diagnosis (37 papers), Animal Disease Management and Epidemiology (21 papers) and Salmonella and Campylobacter epidemiology (14 papers). Scott J. Wells collaborates with scholars based in United States, Thailand and Uruguay. Scott J. Wells's co-authors include Bruce A. Wagner, Stephen L. Ott, Terrie E. Inder, Joseph J. Volpe, Carole A. Spencer, S. Godden, N Mogridge, Michael T. Collins, Robert H. Whitlock and James E. Collins and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Scott J. Wells

83 papers receiving 3.3k citations

Hit Papers

Herd-level economic losses associated with Johne's diseas... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers

Scott J. Wells
G. Jenkin Australia
Andrew Hillier United States
Peter Mansell Australia
Robert J. Callan United States
P.J. van der Wolf Netherlands
David T. Pride United States
Scott J. Wells
Citations per year, relative to Scott J. Wells Scott J. Wells (= 1×) peers Kerstin Skovgaard

Countries citing papers authored by Scott J. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Wells. 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 Scott J. Wells. The network helps show where Scott J. Wells may publish in the future.

Co-authorship network of co-authors of Scott J. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Wells. A scholar is included among the top collaborators of Scott J. Wells 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 Scott J. Wells. Scott J. Wells 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
3.
Makau, Dennis N., et al.. (2024). Use of biosecurity practices to prevent chronic wasting disease in Minnesota cervid herds. Preventive Veterinary Medicine. 234. 106385–106385.
4.
Ames, Trevor R., Thomas W. Molitor, Katharine M. Pelican, et al.. (2023). One Health as a Core Component of Veterinary Medicine: Defining Day-1 Public Health Competencies for the Veterinary Workforce. Journal of Veterinary Medical Education. 51(2). 176–184. 1 indexed citations
5.
Nirmala, Jayaveeramuthu, Vikash Singh, Kelly R. B. Sporer, et al.. (2021). Tracing Viral Transmission and Evolution of Bovine Leukemia Virus through Long Read Oxford Nanopore Sequencing of the Proviral Genome. Pathogens. 10(9). 1191–1191. 8 indexed citations
6.
Phelps, Nicholas B. D., et al.. (2020). Lessons Learned From the Stakeholder Engagement in Research: Application of Spatial Analytical Tools in One Health Problems. Frontiers in Veterinary Science. 7. 254–254. 7 indexed citations
7.
Boonyayatra, Sukolrat, et al.. (2019). Determination of the sensitivity and specificity of bovine tuberculosis screening tests in dairy herds in Thailand using a Bayesian approach. BMC Veterinary Research. 15(1). 149–149. 21 indexed citations
8.
VanderWaal, Kimberly, Eva A. Enns, Meggan E. Craft, et al.. (2018). Modeling cost-effectiveness of risk-based bovine tuberculosis surveillance in Minnesota. Preventive Veterinary Medicine. 159. 1–11. 12 indexed citations
9.
Hong, Samuel L., Albert Rovira, Peter R. Davies, et al.. (2016). Serotypes and Antimicrobial Resistance in Salmonella enterica Recovered from Clinical Samples from Cattle and Swine in Minnesota, 2006 to 2015. PLoS ONE. 11(12). e0168016–e0168016. 54 indexed citations
10.
Bytyqi, Hysen, et al.. (2014). A Study of the Somatic Cell Count of Kosovo Bulk Milk Farm Management and Perspective. 13. 317–323. 2 indexed citations
11.
Pithua, Patrick, L.A. Espejo, S. Godden, & Scott J. Wells. (2013). Is an individual calving pen better than a group calving pen for preventing transmission of Mycobacterium avium subsp paratuberculosis in calves? Results from a field trial. Research in Veterinary Science. 95(2). 398–404. 30 indexed citations
12.
Pithua, Patrick, S. Godden, Scott J. Wells, & Judith R. Stabel. (2011). Evaluation of the risk of paratuberculosis in adult cows fed Mycobacterium avium subsp paratuberculosis DNA-positive or -negative colostrum as calves. American Journal of Veterinary Research. 72(11). 1456–1464. 12 indexed citations
13.
Wells, Scott J., et al.. (2008). Evaluation of progress made by dairy and beef herds enrolled in the Minnesota Johne's Disease Control Program. Journal of the American Veterinary Medical Association. 233(12). 1920–1926. 19 indexed citations
14.
Halbert, Lisa W., John B. Kaneene, P.L. Ruegg, et al.. (2006). Evaluation of antimicrobial susceptibility patterns in Campylobacter spp isolated from dairy cattle and farms managed organically and conventionally in the midwestern and northeastern United States. Journal of the American Veterinary Medical Association. 228(7). 1074–1081. 39 indexed citations
15.
Cho, Seongbeom, Francisco Diez‐Gonzalez, Charles P. Fossler, et al.. (2006). Prevalence of shiga toxin-encoding bacteria and shiga toxin-producing Escherichia coli isolates from dairy farms and county fairs. Veterinary Microbiology. 118(3-4). 289–298. 34 indexed citations
16.
Raizman, Eran A., et al.. (2005). Mycobacterium avium subsp. paratuberculosis from free-ranging deer and rabbits surrounding Minnesota dairy herds.. Europe PMC (PubMed Central). 69(1). 32–8. 46 indexed citations
17.
Fossler, Charles P., Scott J. Wells, John B. Kaneene, et al.. (2004). Prevalence of Salmonella spp on conventional and organic dairy farms. Journal of the American Veterinary Medical Association. 225(4). 567–573. 62 indexed citations
18.
Dargatz, David A., et al.. (2001). Prevalence of antibodies against Mycobacterium avium subsp paratuberculosis among beef cow-calf herds. Journal of the American Veterinary Medical Association. 219(4). 497–501. 39 indexed citations
19.
Dargatz, David A., et al.. (1998). Veterinarian's role in diagnosis, treatment, and prevention of multidrug resistant Salmonella typhimurium DT 104. The Bovine Practitioner. 1–6. 4 indexed citations
20.
Wells, Scott J., Lee Ann Thomas, Dale D. Hancock, Lindsey Garber, & David A. Dargatz. (1997). Factors Associated with the Presence of Escherichia coli O157 in Feces of Feedlot Cattle. Journal of Food Protection. 60(5). 466–470. 103 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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