Kate E. Creevy

2.9k total citations
71 papers, 1.6k citations indexed

About

Kate E. Creevy is a scholar working on Genetics, Small Animals and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kate E. Creevy has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 20 papers in Small Animals and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kate E. Creevy's work include Human-Animal Interaction Studies (27 papers), Veterinary Medicine and Surgery (10 papers) and Veterinary Practice and Education Studies (9 papers). Kate E. Creevy is often cited by papers focused on Human-Animal Interaction Studies (27 papers), Veterinary Medicine and Surgery (10 papers) and Veterinary Practice and Education Studies (9 papers). Kate E. Creevy collaborates with scholars based in United States, United Kingdom and Canada. Kate E. Creevy's co-authors include Daniel Promislow, Jessica M. Hoffman, Matt Kaeberlein, Dan G. O’Neill, Silvan R. Urfer, Alexander Franks, Philip J. Bergman, Steven N. Austad, Audrey Ruple and Benjamin M. Brainard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Kate E. Creevy

63 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate E. Creevy United States 21 681 419 349 240 221 71 1.6k
Dennis F. Lawler United States 20 387 0.6× 476 1.1× 259 0.7× 69 0.3× 211 1.0× 52 1.3k
Charles W. Leathers United States 18 249 0.4× 142 0.3× 439 1.3× 164 0.7× 167 0.8× 55 1.6k
Kimberly A. Greer United States 16 280 0.4× 118 0.3× 214 0.6× 69 0.3× 108 0.5× 29 1000
Edward J. Dick United States 26 349 0.5× 296 0.7× 387 1.1× 209 0.9× 197 0.9× 152 2.6k
Stephen Smith United States 18 655 1.0× 124 0.3× 165 0.5× 96 0.4× 114 0.5× 56 1.4k
C J Foltz United States 12 193 0.3× 296 0.7× 334 1.0× 87 0.4× 105 0.5× 17 1.4k
Dennis F. Lawler United States 16 423 0.6× 773 1.8× 73 0.2× 54 0.2× 254 1.1× 25 1.2k
Giuseppe Sarli Italy 26 434 0.6× 542 1.3× 544 1.6× 932 3.9× 66 0.3× 187 2.4k
Arthur Blum United States 35 290 0.4× 356 0.8× 963 2.8× 105 0.4× 353 1.6× 73 4.0k
Yukihide Momozawa Japan 30 1.4k 2.0× 187 0.4× 1.1k 3.3× 138 0.6× 128 0.6× 109 3.2k

Countries citing papers authored by Kate E. Creevy

Since Specialization
Citations

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

Fields of papers citing papers by Kate E. Creevy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Creevy. 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 Kate E. Creevy. The network helps show where Kate E. Creevy may publish in the future.

Co-authorship network of co-authors of Kate E. Creevy

This figure shows the co-authorship network connecting the top 25 collaborators of Kate E. Creevy. A scholar is included among the top collaborators of Kate E. Creevy 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 Kate E. Creevy. Kate E. Creevy 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.
Dunbar, Matthew D., Robyn L. McClelland, Audrey Ruple, et al.. (2025). Rationale and design of the Dog Aging Project precision cohort: a multi-omic resource for longitudinal research in geroscience. GeroScience. 47(4). 5725–5748. 2 indexed citations
2.
Harrison, Benjamin R., Danijel Djukovic, Matthew D. Dunbar, et al.. (2025). Protein Catabolites as Blood‐Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project. Aging Cell. 24(11). e70226–e70226.
3.
Gärtner, Kathleen, et al.. (2025). Food motivation and owner feeding management practices are associated with overweight among Dog Aging Project participants. American Journal of Veterinary Research. 86(5).
4.
5.
Hoffman, Jessica M., et al.. (2024). Cross-sectional survey of 43,517 dogs in the Dog Aging Project identifies owner-reported lifetime prevalence and characteristics of gastrointestinal disease. Journal of the American Veterinary Medical Association. 262(12). 1–9.
6.
Jin, Kelly, Victor Tkachev, Alex Chitsazan, et al.. (2024). DNA methylation and chromatin accessibility predict age in the domestic dog. Aging Cell. 23(4). e14079–e14079. 7 indexed citations
7.
McClelland, Robyn L., et al.. (2024). Factors Associated With Missing Biological Samples in the Dog Aging Project. Veterinary Medicine and Science. 10(6). e70113–e70113. 1 indexed citations
8.
Barnett, Brian, Sonya G. Gordon, Ashley B. Saunders, et al.. (2023). A masked, placebo-controlled, randomized clinical trial evaluating safety and the effect on cardiac function of low-dose rapamycin in 17 healthy client-owned dogs. Frontiers in Veterinary Science. 10. 1168711–1168711. 10 indexed citations
9.
10.
Ward, Jessica, et al.. (2021). Suspected primary hyperreninism in a cat with malignant renal sarcoma and global renin-angiotensin-aldosterone system upregulation. Journal of Veterinary Internal Medicine. 36(1). 272–278. 1 indexed citations
11.
Dunbar, Matthew D., et al.. (2021). Veterinary Big Data: When Data Goes to the Dogs. Animals. 11(7). 1872–1872. 21 indexed citations
12.
Jeffery, Unity, et al.. (2021). Variation in biochemistry test results between annual wellness visits in apparently healthy Golden Retrievers. Journal of Veterinary Internal Medicine. 35(2). 912–924. 2 indexed citations
13.
Coleman, Amanda E., et al.. (2020). Efficacy of telmisartan for the treatment of persistent renal proteinuria in dogs: A double-masked, randomized clinical trial. Journal of Veterinary Internal Medicine. 34(6). 2478–2496. 14 indexed citations
14.
Coe, Jason B., et al.. (2020). Pilot Study of Small Animal Rotating Intern Telephone Communication Training Using Simulated Referring Veterinarians. Journal of Veterinary Medical Education. 48(2). 139–144. 1 indexed citations
15.
Hofmeister, Erik H., et al.. (2018). Analysis of Small Animal Rotating Internship Applicants’ Personal Statements. Journal of Veterinary Medical Education. 46(1). 28–34. 3 indexed citations
16.
Hoffman, Jessica M., et al.. (2018). Canine hyperadrenocorticism associations with signalment, selected comorbidities and mortality within North American veterinary teaching hospitals. Journal of Small Animal Practice. 59(11). 681–690. 25 indexed citations
17.
Coleman, Amanda E., et al.. (2018). Relationships among urinary protein-to-creatinine ratio, urine specific gravity, and bacteriuria in canine urine samples. Journal of Veterinary Internal Medicine. 33(1). 192–199. 13 indexed citations
18.
Ward, Cynthia R., et al.. (2017). The Association of Grade Reporting Method, Student Performance, and Student Motivation on a Veterinary Clinical Rotation. American Journal of Educational Research. 5(2). 161–171. 1 indexed citations
19.
Creevy, Kate E., et al.. (2016). Assessing Academic Self-Efficacy, Knowledge, and Attitudes in Undergraduate Physiology Students.. PubMed Central. 4(9). 652–657. 7 indexed citations
20.
Brown, Holly M., et al.. (2013). Systemic immune responses in Cytauxzoon felis-infected domestic cats. American Journal of Veterinary Research. 74(6). 901–909. 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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