Aspen M. Workman

1.0k total citations
44 papers, 728 citations indexed

About

Aspen M. Workman is a scholar working on Epidemiology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Aspen M. Workman has authored 44 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 15 papers in Agronomy and Crop Science and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Aspen M. Workman's work include Animal Disease Management and Epidemiology (15 papers), Herpesvirus Infections and Treatments (14 papers) and Animal Virus Infections Studies (13 papers). Aspen M. Workman is often cited by papers focused on Animal Disease Management and Epidemiology (15 papers), Herpesvirus Infections and Treatments (14 papers) and Animal Virus Infections Studies (13 papers). Aspen M. Workman collaborates with scholars based in United States, China and Austria. Aspen M. Workman's co-authors include Clinton Jones, Deborah M. Brown, Alan R. Doster, Michael L. Clawson, Devis Sinani, John Dustin Loy, Liqian Zhu, Timothy P. L. Smith, Tara G. McDaneld and Michael P. Heaton and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Aspen M. Workman

43 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aspen M. Workman United States 18 311 296 170 151 150 44 728
Weisheng Cao China 16 335 1.1× 269 0.9× 112 0.7× 91 0.6× 180 1.2× 30 623
Wenliang Li China 18 230 0.7× 84 0.3× 217 1.3× 243 1.6× 137 0.9× 54 625
Suresh H. Basagoudanavar India 15 278 0.9× 299 1.0× 251 1.5× 130 0.9× 320 2.1× 54 956
Sascha Trapp France 19 816 2.6× 285 1.0× 267 1.6× 168 1.1× 324 2.2× 47 1.4k
Jacek Kuźmak Poland 20 410 1.3× 408 1.4× 592 3.5× 103 0.7× 191 1.3× 102 1.1k
Zenglei Hu China 16 708 2.3× 204 0.7× 273 1.6× 274 1.8× 188 1.3× 64 921
Yuekun Lang United States 19 546 1.8× 109 0.4× 241 1.4× 387 2.6× 176 1.2× 38 911
Changyao Li China 16 150 0.5× 239 0.8× 345 2.0× 335 2.2× 229 1.5× 22 837
Louise Hilton Australia 6 268 0.9× 329 1.1× 184 1.1× 269 1.8× 113 0.8× 7 682
Shuang Chang China 20 583 1.9× 281 0.9× 111 0.7× 123 0.8× 279 1.9× 66 891

Countries citing papers authored by Aspen M. Workman

Since Specialization
Citations

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

Fields of papers citing papers by Aspen M. Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aspen M. Workman. 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 Aspen M. Workman. The network helps show where Aspen M. Workman may publish in the future.

Co-authorship network of co-authors of Aspen M. Workman

This figure shows the co-authorship network connecting the top 25 collaborators of Aspen M. Workman. A scholar is included among the top collaborators of Aspen M. Workman 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 Aspen M. Workman. Aspen M. Workman 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.
Krueger, Alan B., Brian L. Vander Ley, Michael P. Heaton, Tad S. Sonstegard, & Aspen M. Workman. (2025). Primary Cells from a CD46-Edited Bovine Heifer Have Reduced BVDV Susceptibility Despite Viral Adaptation to Heparan Sulfate. Viruses. 17(5). 634–634. 1 indexed citations
2.
Snider, Alexandria P, Aspen M. Workman, Michael P. Heaton, et al.. (2024). Fertility and early embryonic development in a CD46-edited Gir heifer with reduced susceptibility to BVDV. Biology of Reproduction. 112(2). 245–252. 1 indexed citations
3.
Workman, Aspen M., Michael P. Heaton, Brian L. Vander Ley, et al.. (2023). First gene-edited calf with reduced susceptibility to a major viral pathogen. PNAS Nexus. 2(5). pgad125–pgad125. 30 indexed citations
4.
Zaruba, Marianne, et al.. (2022). ADAM17 Is an Essential Factor for the Infection of Bovine Cells with Pestiviruses. Viruses. 14(2). 381–381. 10 indexed citations
5.
Workman, Aspen M., et al.. (2022). Recent Emergence of Bovine Coronavirus Variants with Mutations in the Hemagglutinin-Esterase Receptor Binding Domain in U.S. Cattle. Viruses. 14(10). 2125–2125. 13 indexed citations
6.
McDaneld, Tara G., Aspen M. Workman, Carol G. Chitko-McKown, et al.. (2022). Detection of Mycoplasma bovirhinis and bovine coronavirus in an outbreak of bovine respiratory disease in nursing beef calves. PubMed. 1. 1051241–1051241. 6 indexed citations
7.
8.
Chitko-McKown, Carol G., Gary L. Bennett, L. A. Kuehn, et al.. (2021). Cytokine and Haptoglobin Profiles From Shipping Through Sickness and Recovery in Metaphylaxis- or Un-Treated Cattle. Frontiers in Veterinary Science. 8. 611927–611927. 6 indexed citations
9.
10.
Workman, Aspen M., et al.. (2020). Upregulation of the type I interferon pathway in feedlot cattle persistently infected with bovine viral diarrhea virus. Virus Research. 278. 197862–197862. 10 indexed citations
11.
Wynn, Emily L., et al.. (2020). Differentiation of Mannheimia haemolytica genotype 1 and 2 strains by visible phenotypic characteristics on solid media. Journal of Microbiological Methods. 171. 105877–105877. 1 indexed citations
12.
Workman, Aspen M., L. A. Kuehn, Tara G. McDaneld, Michael L. Clawson, & John Dustin Loy. (2019). Longitudinal study of humoral immunity to bovine coronavirus, virus shedding, and treatment for bovine respiratory disease in pre-weaned beef calves. BMC Veterinary Research. 15(1). 161–161. 29 indexed citations
13.
14.
Neill, John D., Aspen M. Workman, Richard Hesse, et al.. (2018). Identification of BVDV2b and 2c subgenotypes in the United States: Genetic and antigenic characterization. Virology. 528. 19–29. 30 indexed citations
15.
Lindholm‐Perry, Amanda K., L. A. Kuehn, Tara G. McDaneld, et al.. (2018). Complete blood count data and leukocyte expression of cytokine genes and cytokine receptor genes associated with bovine respiratory disease in calves. BMC Research Notes. 11(1). 786–786. 17 indexed citations
16.
Sun, Haiyan, Aspen M. Workman, Fernando A. Osorio, David Steffen, & Hiep L. X. Vu. (2017). Development of a broadly protective modified-live virus vaccine candidate against porcine reproductive and respiratory syndrome virus. Vaccine. 36(1). 66–73. 12 indexed citations
17.
Brown, Deborah M., et al.. (2016). The Differentiation and Protective Function of Cytolytic CD4 T Cells in Influenza Infection. Frontiers in Immunology. 7. 93–93. 52 indexed citations
18.
Workman, Aspen M., et al.. (2014). Inflammation Enhances IL-2 Driven Differentiation of Cytolytic CD4 T Cells. PLoS ONE. 9(2). e89010–e89010. 41 indexed citations
19.
20.
Ellis, John A., Sheryl Gow, Noriko Goji, et al.. (2009). Efficacy of a combination viral vaccine for protection of cattle against experimental infection with field isolates of bovine herpesvirus-1. Journal of the American Veterinary Medical Association. 235(5). 563–572. 8 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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