Robert L. Larson

6.4k total citations
190 papers, 4.5k citations indexed

About

Robert L. Larson is a scholar working on Agronomy and Crop Science, Microbiology and Surgery. According to data from OpenAlex, Robert L. Larson has authored 190 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Agronomy and Crop Science, 58 papers in Microbiology and 39 papers in Surgery. Recurrent topics in Robert L. Larson's work include Microbial infections and disease research (57 papers), Animal Disease Management and Epidemiology (35 papers) and Vector-Borne Animal Diseases (32 papers). Robert L. Larson is often cited by papers focused on Microbial infections and disease research (57 papers), Animal Disease Management and Epidemiology (35 papers) and Vector-Borne Animal Diseases (32 papers). Robert L. Larson collaborates with scholars based in United States, United Kingdom and Germany. Robert L. Larson's co-authors include Donald B. Slocum, Brad J. White, Stanley L. James, Kenneth M. Singer, David G. Renter, Miles E. Theurer, David E. Amrine, S.L. James, Donald Jones and William W. Winternitz and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of Bone and Joint Surgery.

In The Last Decade

Robert L. Larson

178 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert L. Larson United States 35 2.2k 957 878 796 652 190 4.5k
Hussni O. Mohammed United States 43 1.5k 0.7× 945 1.0× 568 0.6× 420 0.5× 1.3k 2.0× 263 7.4k
Gina Pinchbeck United Kingdom 45 582 0.3× 539 0.6× 767 0.9× 232 0.3× 1.6k 2.4× 212 6.0k
Hugh G.G. Townsend Canada 38 316 0.1× 143 0.1× 845 1.0× 569 0.7× 678 1.0× 138 4.5k
J. R. Newton United Kingdom 39 233 0.1× 272 0.3× 1.3k 1.5× 825 1.0× 512 0.8× 137 5.4k
Jorge A. Hernández United States 35 424 0.2× 209 0.2× 1.4k 1.6× 197 0.2× 1.4k 2.1× 160 4.2k
NR Perkins Australia 30 334 0.2× 346 0.4× 995 1.1× 120 0.2× 767 1.2× 156 3.0k
M. Hässig Switzerland 32 533 0.2× 92 0.1× 601 0.7× 252 0.3× 1.2k 1.9× 171 3.2k
Marcus G. Doherr Switzerland 44 594 0.3× 57 0.1× 1.1k 1.2× 387 0.5× 1.8k 2.8× 266 5.9k
Kenton L. Morgan United Kingdom 38 229 0.1× 647 0.7× 884 1.0× 136 0.2× 699 1.1× 107 3.7k
D. J. Mellor United Kingdom 30 393 0.2× 124 0.1× 430 0.5× 159 0.2× 1.3k 2.0× 107 3.3k

Countries citing papers authored by Robert L. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Larson. 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 Robert L. Larson. The network helps show where Robert L. Larson may publish in the future.

Co-authorship network of co-authors of Robert L. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Larson. A scholar is included among the top collaborators of Robert L. Larson 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 Robert L. Larson. Robert L. Larson 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.
White, Brad J., et al.. (2025). Thoracic Ultrasound in Cattle: Methods, Diagnostics, and Prognostics. Veterinary Sciences. 12(1). 16–16. 2 indexed citations
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Larson, Robert L., et al.. (2024). Evaluation and Development of a Nutrition Model to Predict Intake and Growth of Suckling Calves. SHILAP Revista de lepidopterología. 4(1). 47–78.
5.
White, Brad J., et al.. (2024). Targeted thoracic ultrasonography shows high diagnostic potential for interstitial pneumonia in feedyard cattle. American Journal of Veterinary Research. 86(2). 3 indexed citations
6.
White, Brad J., et al.. (2023). Epidemiological Factors Associated with Gross Diagnosis of Pulmonary Pathology in Feedyard Mortalities. Veterinary Sciences. 10(8). 522–522. 1 indexed citations
7.
Larson, Robert L., et al.. (2023). No evidence for a negative association between bovine leukemia virus status and fertility in Kansas beef herds: a cross-sectional study. American Journal of Veterinary Research. 84(5). 1–6. 1 indexed citations
8.
Schroeder, Ted C., et al.. (2023). Information management in beef cow-calf operations: Data priorities, recording, and sharing. Applied Animal Science. 39(4). 244–249.
9.
White, Brad J., et al.. (2023). Determining Frequency of Common Pulmonary Gross and Histopathological Findings in Feedyard Fatalities. Veterinary Sciences. 10(3). 228–228. 4 indexed citations
10.
Larson, Robert L., et al.. (2022). Evaluation of Differing Genetic Potentials on Beef Cattle Resource Use in the Great Plains. Kansas Agricultural Experiment Station Research Reports. 8(1). 1 indexed citations
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Capik, Sarah F., et al.. (2021). Systematic review of vaccine efficacy against Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni in North American cattle. The Bovine Practitioner. 55(2). 125–133. 10 indexed citations
13.
Larson, Robert L., et al.. (2018). Mirror, Mirror, On the Wall: What are we Teaching Them All?: Characterising the Focus of Cybersecurity Curricular Frameworks. Bristol Research (University of Bristol). 13 indexed citations
14.
Dickey, Aaron M., John Dustin Loy, James L. Bono, et al.. (2016). Large genomic differences between Moraxella bovoculi isolates acquired from the eyes of cattle with infectious bovine keratoconjunctivitis versus the deep nasopharynx of asymptomatic cattle. Veterinary Research. 47(1). 31–31. 34 indexed citations
15.
Nickell, Jason S., Brad J. White, Robert L. Larson, et al.. (2011). Onset and Duration of Transient Infections Among Antibody- Diverse Beef Calves Exposed to a Bovine Viral Diarrhea Virus Persistently Infected Calf. K-State Research Exchange (Kansas State University). 9(1). 29–39. 7 indexed citations
16.
Nickell, Jason S., Brad J. White, Robert L. Larson, Dale A. Blasi, & David G. Renter. (2008). Comparison of Short-Term Health and Performance Effects Related to Prophylactic Administration of Tulathromycin versus Tilmicosin in Long-Hauled, Highly Stressed Beef Stocker Calves. American Association of Bovine Practitioners Conference Proceedings. 213–213. 14 indexed citations
17.
Engelken, Terry J., et al.. (2007). Herd prevalence and risk factors of Leptospira infection in beef cow/calf operations in the United States. The Bovine Practitioner. 15–23. 8 indexed citations
18.
Larson, Robert L., Bruce W. Brodersen, Dale M. Grotelueschen, et al.. (2005). Considerations for bovine viral diarrhea (BVD) testing. The Bovine Practitioner. 96–100. 8 indexed citations
19.
Larson, Robert L., Dale M. Grotelueschen, Kenny V. Brock, et al.. (2004). Bovine Viral Diarrhea (BVD): Review for Beef Cattle Veterinarians. The Bovine Practitioner. 9 indexed citations
20.

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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