Kevin K. Lahmers

3.2k total citations
59 papers, 1.1k citations indexed

About

Kevin K. Lahmers is a scholar working on Infectious Diseases, Immunology and Parasitology. According to data from OpenAlex, Kevin K. Lahmers has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Immunology and 12 papers in Parasitology. Recurrent topics in Kevin K. Lahmers's work include Vector-borne infectious diseases (11 papers), Vector-Borne Animal Diseases (9 papers) and Microbial infections and disease research (7 papers). Kevin K. Lahmers is often cited by papers focused on Vector-borne infectious diseases (11 papers), Vector-Borne Animal Diseases (9 papers) and Microbial infections and disease research (7 papers). Kevin K. Lahmers collaborates with scholars based in United States, Israel and Canada. Kevin K. Lahmers's co-authors include Wendy C. Brown, S. Michelle Todd, Junzo Norimine, Guy H. Palmer, Michael J. Yabsley, Mitchell S. Abrahamsen, George M. Barrington, Tanya LeRoith, Douglas R. Call and Patrick R. Gavin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kevin K. Lahmers

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin K. Lahmers United States 22 330 299 248 189 179 59 1.1k
Stéphane Pronost France 27 362 1.1× 359 1.2× 186 0.8× 677 3.6× 245 1.4× 103 1.7k
Michał Czopowicz Poland 20 301 0.9× 220 0.7× 95 0.4× 341 1.8× 131 0.7× 197 1.5k
Fabrizio Passamonti Italy 20 414 1.3× 302 1.0× 63 0.3× 239 1.3× 188 1.1× 96 1.1k
Makoto HARITANI Japan 23 384 1.2× 411 1.4× 109 0.4× 350 1.9× 178 1.0× 123 1.5k
A. Waldvogel Switzerland 22 490 1.5× 337 1.1× 133 0.5× 283 1.5× 215 1.2× 60 1.4k
Luciana Sonne Brazil 14 190 0.6× 177 0.6× 93 0.4× 178 0.9× 157 0.9× 186 971
Yuanzhi Wang China 18 311 0.9× 230 0.8× 108 0.4× 232 1.2× 180 1.0× 107 1000
J. M. Donahue United States 19 202 0.6× 267 0.9× 105 0.4× 197 1.0× 104 0.6× 36 1.5k
Jarosław Kaba Poland 19 228 0.7× 223 0.7× 112 0.5× 327 1.7× 103 0.6× 120 1.1k
I. Kakoma United States 21 476 1.4× 469 1.6× 160 0.6× 224 1.2× 183 1.0× 83 1.4k

Countries citing papers authored by Kevin K. Lahmers

Since Specialization
Citations

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

Fields of papers citing papers by Kevin K. Lahmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin K. Lahmers. 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 Kevin K. Lahmers. The network helps show where Kevin K. Lahmers may publish in the future.

Co-authorship network of co-authors of Kevin K. Lahmers

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin K. Lahmers. A scholar is included among the top collaborators of Kevin K. Lahmers 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 Kevin K. Lahmers. Kevin K. Lahmers 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.
Loy, John Dustin, et al.. (2026). Simulation of pooling optimization methods for differing infection dynamics, sampling practices, and desired outcomes in surveillance testing. Journal of Veterinary Diagnostic Investigation. 38(2). 205–218.
2.
3.
Lahmers, Kevin K., et al.. (2024). Seroprevalence of Anaplasma species in an equine population of Southwest Virginia. Equine Veterinary Education. 36(10). 536–542.
4.
Todd, S. Michelle, et al.. (2024). Determining diagnostic sensitivity loss limits for sample pooling in duplex rtPCR surveillance testing: Theileria orientalis and Anaplasma marginale. Journal of Veterinary Diagnostic Investigation. 37(1). 71–78. 1 indexed citations
5.
Lahmers, Kevin K., et al.. (2023). Prevalence of Latent Equid Herpesvirus Type 1 in Submandibular Lymph Nodes of Horses in Virginia. Pathogens. 12(6). 813–813. 2 indexed citations
6.
Lahmers, Kevin K., et al.. (2023). Case report: Clitoral adenocarcinoma in a mixed-breed female dog. Frontiers in Veterinary Science. 10. 1264538–1264538.
7.
Coutermarsh‐Ott, Sheryl, et al.. (2022). Retroperitoneal myxosarcoma in a cat. SHILAP Revista de lepidopterología. 10(7). e6063–e6063. 1 indexed citations
8.
Todd, S. Michelle, et al.. (2021). Coinfection of cattle in Virginia with Theileria orientalis Ikeda genotype and Anaplasma marginale. Journal of Veterinary Diagnostic Investigation. 34(1). 36–41. 16 indexed citations
9.
Balogh, Orsolya, et al.. (2021). Presumptive Identification of Smooth Brucella Strain Antibodies in Canines. Frontiers in Veterinary Science. 8. 697479–697479. 2 indexed citations
10.
Butt, Salman L., et al.. (2020). Real-time, MinION-based, amplicon sequencing for lineage typing of infectious bronchitis virus from upper respiratory samples. Journal of Veterinary Diagnostic Investigation. 33(2). 179–190. 8 indexed citations
11.
Lahmers, Kevin K., Holly S. Sellers, David E. Stallknecht, et al.. (2020). Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses. Journal of Veterinary Diagnostic Investigation. 33(2). 202–215. 15 indexed citations
12.
Thompson, Alec T., David Shaw, Andrea Egizi, et al.. (2020). Theileria orientalis Ikeda in host-seeking Haemaphysalis longicornis in Virginia, U.S.A.. Ticks and Tick-borne Diseases. 11(5). 101450–101450. 60 indexed citations
13.
Cecere, Thomas E., Kevin K. Lahmers, Tanya LeRoith, et al.. (2019). Diagnostic accuracy of stereotactic brain biopsy for intracranial neoplasia in dogs: Comparison of biopsy, surgical resection, and necropsy specimens. Journal of Veterinary Internal Medicine. 33(3). 1384–1391. 22 indexed citations
14.
Todd, S. Michelle, Robert E. Settlage, Kevin K. Lahmers, & Daniel J. Slade. (2018). Fusobacterium Genomics Using MinION and Illumina Sequencing Enables Genome Completion and Correction. mSphere. 3(4). 20 indexed citations
15.
Borgarelli, Michele, O. I. Lanz, Jonathan A. Abbott, et al.. (2017). Mitral valve repair in dogs using an ePTFE chordal implantation device: a pilot study. Journal of Veterinary Cardiology. 19(3). 256–267. 15 indexed citations
16.
Besser, Thomas E., E. Frances Cassirer, Kathleen A. Potter, et al.. (2014). Epizootic Pneumonia of Bighorn Sheep following Experimental Exposure to Mycoplasma ovipneumoniae. PLoS ONE. 9(10). e110039–e110039. 44 indexed citations
17.
Lawrence, Paulraj K., et al.. (2012). CD4 T Cell Antigens from Staphylococcus aureus Newman Strain Identified following Immunization with Heat-Killed Bacteria. Clinical and Vaccine Immunology. 19(4). 477–489. 21 indexed citations
18.
Lahmers, Kevin K., et al.. (2010). Canine ABCB4: Tissue expression and cDNA structure. Research in Veterinary Science. 89(1). 65–71. 4 indexed citations
19.
Norimine, Junzo, et al.. (2008). Rapid Deletion of Antigen-Specific CD4+ T Cells following Infection Represents a Strategy of Immune Evasion and Persistence for Anaplasma marginale  . The Journal of Immunology. 181(11). 7759–7769. 21 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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