Paul S. Morley

11.4k total citations
244 papers, 7.8k citations indexed

About

Paul S. Morley is a scholar working on Infectious Diseases, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Paul S. Morley has authored 244 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Infectious Diseases, 45 papers in Molecular Biology and 44 papers in Agronomy and Crop Science. Recurrent topics in Paul S. Morley's work include Microbial infections and disease research (41 papers), Salmonella and Campylobacter epidemiology (33 papers) and Pharmaceutical and Antibiotic Environmental Impacts (28 papers). Paul S. Morley is often cited by papers focused on Microbial infections and disease research (41 papers), Salmonella and Campylobacter epidemiology (33 papers) and Pharmaceutical and Antibiotic Environmental Impacts (28 papers). Paul S. Morley collaborates with scholars based in United States, Canada and Australia. Paul S. Morley's co-authors include Josie L. Traub‐Dargatz, K. E. Belk, Noelle Noyes, David A. Dargatz, Doreene R. Hyatt, Deborah M. Haines, Enrique Doster, David C. Van Metre, Kenneth W. Hinchcliff and Brandy A. Burgess and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Paul S. Morley

240 papers receiving 7.4k citations

Peers

Paul S. Morley
John B. Kaneene United States
Thomas E. Wittum United States
Mark A. Holmes United Kingdom
Darren J. Trott Australia
Richard E. Isaacson United States
Thomas E. Besser United States
Luc Devriese Belgium
John B. Kaneene United States
Paul S. Morley
Citations per year, relative to Paul S. Morley Paul S. Morley (= 1×) peers John B. Kaneene

Countries citing papers authored by Paul S. Morley

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Morley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Morley. 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 Paul S. Morley. The network helps show where Paul S. Morley may publish in the future.

Co-authorship network of co-authors of Paul S. Morley

This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Morley. A scholar is included among the top collaborators of Paul S. Morley 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 Paul S. Morley. Paul S. Morley 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.
Booker, Calvin W., et al.. (2025). The prevalence and antimicrobial resistance of respiratory pathogens isolated from feedlot cattle in Canada. Frontiers in Microbiology. 16. 1497402–1497402. 3 indexed citations
3.
Weinroth, Margaret D., Enrique Doster, Amit Vikram, et al.. (2022). Resistomes and microbiome of meat trimmings and colon content from culled cows raised in conventional and organic production systems. SHILAP Revista de lepidopterología. 4(1). 21–21. 9 indexed citations
4.
Schmidt, J. W., Enrique Doster, Margaret D. Weinroth, et al.. (2020). Antimicrobial Resistance in U.S. Retail Ground Beef with and without Label Claims Regarding Antibiotic Use. Journal of Food Protection. 84(5). 827–842. 16 indexed citations
5.
Marsilio, Sina, Shelley J. Newman, J. Scot Estep, et al.. (2020). Differentiation of lymphocytic-plasmacytic enteropathy and small cell lymphoma in cats using histology-guided mass spectrometry. Journal of Veterinary Internal Medicine. 34(2). 669–677. 16 indexed citations
6.
Schmidt, J. W., Terrance M. Arthur, K. E. Belk, et al.. (2020). Antimicrobial Resistance at Two U.S. Cull Cow Processing Establishments. Journal of Food Protection. 83(12). 2216–2228. 7 indexed citations
7.
Lakin, Steven M., Alan Kuhnle, Noelle Noyes, et al.. (2019). Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences. Communications Biology. 2(1). 294–294. 30 indexed citations
8.
Doster, Enrique, Steven M. Lakin, Christopher Dean, et al.. (2019). MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data. Nucleic Acids Research. 48(D1). D561–D569. 264 indexed citations
9.
Weinroth, Margaret D., J. N. Martin, Enrique Doster, et al.. (2019). Investigation of tylosin in feed of feedlot cattle and effects on liver abscess prevalence, and fecal and soil microbiomes and resistomes1. Journal of Animal Science. 97(11). 4567–4578. 25 indexed citations
10.
Beukers, Alicia G., Rahat Zaheer, Shaun R. Cook, et al.. (2018). Comparison of antimicrobial resistance genes in feedlots and urban wastewater.. PubMed. 82(1). 24–38. 9 indexed citations
11.
Muggli, Martin D., Noelle Noyes, Paul S. Morley, et al.. (2017). Succinct colored de Bruijn graphs. Bioinformatics. 33(20). 3181–3187. 54 indexed citations
12.
Metre, David C. Van & Paul S. Morley. (2015). Zoonotic Diseases--Fostering Awareness in Critical Audiences.. TigerPrints (Clemson University). 53(6). 1 indexed citations
13.
Avery, Paul R., Jenna H. Burton, Davis Seelig, et al.. (2014). Flow Cytometric Characterization and Clinical Outcome of CD4+ T-Cell Lymphoma in Dogs: 67 Cases. Journal of Veterinary Internal Medicine. 28(2). 538–546. 50 indexed citations
14.
Morley, Paul S.. (2013). Evidence-Based Infection Control In Clinical Practice: If You Buy Clothes for the Emperor, Will He Wear Them?. Journal of Veterinary Internal Medicine. 27(3). 430–438. 18 indexed citations
15.
O’Connor, Annette M., Jan M. Sargeant, Ian A. Gardner, et al.. (2010). The REFLECT statement: Methods and processes of creating reporting guidelines for randomized controlled trials for livestock and food safety. Journal of Swine Health and Production. 18(1). 18–26. 12 indexed citations
16.
Booker, Calvin W., Sameeh M. Abutarbush, Oliver C Schunicht, et al.. (2008). Effect of castration timing, technique, and pain management on health and performance of young feedlot bulls in Alberta. The Bovine Practitioner. 1–11. 9 indexed citations
17.
Gross, Diane, Paul S. Morley, Kenneth W. Hinchcliff, & Thomas E. Wittum. (1999). Effect of furosemide on performance of Thoroughbreds racing in the United States and Canada. Journal of the American Veterinary Medical Association. 215(5). 670–675. 21 indexed citations
18.
Morley, Paul S., et al.. (1999). How to Investigate a Disease Outbreak. Proceedings of the ... Annual Convention - American Association of Equine Practitioners.. 45. 137–141. 4 indexed citations
19.
Smith, David R., Paula J. Fedorka–Cray, Kenny V. Brock, et al.. (1998). Epidemiologic herd-level assessment of causative agents and risk factors for winter dysentery in dairy cattle. American Journal of Veterinary Research. 59(8). 994–1001. 21 indexed citations
20.
Ellis, John A., Lori E. Hassard, & Paul S. Morley. (1995). Bovine respiratory syncytial virus-specific immune responses in calves after inoculation with commercially available vaccines. Journal of the American Veterinary Medical Association. 206(3). 354–361. 21 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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