Ted Kalbfleisch

10.2k total citations · 1 hit paper
97 papers, 5.3k citations indexed

About

Ted Kalbfleisch is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ted Kalbfleisch has authored 97 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 36 papers in Genetics and 15 papers in Cancer Research. Recurrent topics in Ted Kalbfleisch's work include Genetic and phenotypic traits in livestock (21 papers), Genomics and Phylogenetic Studies (13 papers) and Cancer-related molecular mechanisms research (11 papers). Ted Kalbfleisch is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Genomics and Phylogenetic Studies (13 papers) and Cancer-related molecular mechanisms research (11 papers). Ted Kalbfleisch collaborates with scholars based in United States, Belgium and Egypt. Ted Kalbfleisch's co-authors include Meijia Yang, Gerard Cagney, Traci A. Mansfield, James Knight, Vaibhav A. Narayan, Ying Li, Daniel Lockshon, Maithreyan Srinivasan, Bailey Godwin and Richard Judson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ted Kalbfleisch

95 papers receiving 5.2k citations

Hit Papers

A comprehensive analysis of protein–protein interactions ... 2000 2026 2008 2017 2000 1000 2.0k 3.0k

Peers

Ted Kalbfleisch
Ted Kalbfleisch
Citations per year, relative to Ted Kalbfleisch Ted Kalbfleisch (= 1×) peers Jack Greenblatt

Countries citing papers authored by Ted Kalbfleisch

Since Specialization
Citations

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

Fields of papers citing papers by Ted Kalbfleisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ted Kalbfleisch. 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 Ted Kalbfleisch. The network helps show where Ted Kalbfleisch may publish in the future.

Co-authorship network of co-authors of Ted Kalbfleisch

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Kalbfleisch. A scholar is included among the top collaborators of Ted Kalbfleisch 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 Ted Kalbfleisch. Ted Kalbfleisch 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.
Deng, Cecilia, Christine G. Elsik, Damarius S. Fleming, et al.. (2025). Data reuse in agricultural genomics research: challenges and recommendations. GigaScience. 14. 5 indexed citations
2.
Castiglione, Gianni M., Xin Chen, Lingli Zhou, et al.. (2025). Running a genetic stop sign accelerates oxygen metabolism and energy production in horses. Science. 387(6741). eadr8589–eadr8589. 1 indexed citations
3.
Piras, Francesca M., Rebecca R. Bellone, Carrie J. Finno, et al.. (2025). CENP-A and centromere evolution in equids. Chromosome Research. 33(1). 13–13.
4.
Jevit, Matthew, Nandina Paria, Pranab Jyoti Das, et al.. (2023). Trio-binning of a hinny refines the comparative organization of the horse and donkey X chromosomes and reveals novel species-specific features. Scientific Reports. 13(1). 3 indexed citations
5.
Sutcliffe, Richard F. E., Aude Perdereau, Jean‐Marc Aury, et al.. (2023). Imputed genomes of historical horses provide insights into modern breeding. iScience. 26(7). 107104–107104. 3 indexed citations
6.
Saleh, Ayman A., et al.. (2022). Evidence for origin of lavender foal syndrome among Egyptian Arabian horses in Egypt. Equine Veterinary Journal. 55(3). 487–493. 1 indexed citations
7.
Kalbfleisch, Ted, Kai Li, Wesley Brashear, et al.. (2022). The Assembled Genome of the Stroke-Prone Spontaneously Hypertensive Rat. Hypertension. 80(1). 138–146. 5 indexed citations
8.
Dini, Pouya, Ted Kalbfleisch, Mariano Carossino, et al.. (2021). Parental bias in expression and interaction of genes in the equine placenta. Proceedings of the National Academy of Sciences. 118(16). 13 indexed citations
9.
Banerjee, Mayukh, Ana P. Ferragut Cardoso, Laila Al‐Eryani, et al.. (2021). Dynamic alteration in miRNA and mRNA expression profiles at different stages of chronic arsenic exposure-induced carcinogenesis in a human cell culture model of skin cancer. Archives of Toxicology. 95(7). 2351–2365. 31 indexed citations
10.
Ali, Hossam El‐Sheikh, Shavahn C. Loux, Kirsten E. Scoggin, et al.. (2021). Transcriptional and Histochemical Signatures of Bone Marrow Mononuclear Cell-Mediated Resolution of Synovitis. Frontiers in Immunology. 12. 734322–734322. 7 indexed citations
11.
Scott, E., Tamer Mansour, Erin N. Hales, et al.. (2020). Comparison of Poly-A+ Selection and rRNA Depletion in Detection of lncRNA in Two Equine Tissues Using RNA-seq. Non-Coding RNA. 6(3). 32–32. 7 indexed citations
12.
Rice, Edward S., Sergey Koren, Arang Rhie, et al.. (2020). Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle. GigaScience. 9(4). 40 indexed citations
13.
Carossino, Mariano, Pouya Dini, Ted Kalbfleisch, et al.. (2019). Equine arteritis virus long-term persistence is orchestrated by CD8+ T lymphocyte transcription factors, inhibitory receptors, and the CXCL16/CXCR6 axis. PLoS Pathogens. 15(7). e1007950–e1007950. 29 indexed citations
14.
Loux, Shavahn C., Pouya Dini, Hossam El‐Sheikh Ali, Ted Kalbfleisch, & Barry A. Ball. (2019). Characterization of the placental transcriptome through mid to late gestation in the mare. PLoS ONE. 14(11). e0224497–e0224497. 17 indexed citations
15.
Dini, Pouya, Hossam El‐Sheikh Ali, Shavahn C. Loux, et al.. (2019). Landscape of Overlapping Gene Expression in The Equine Placenta. Genes. 10(7). 503–503. 9 indexed citations
16.
Sarkar, Sanjay, Ernest Bailey, Yun Young Go, et al.. (2016). Allelic Variation in CXCL16 Determines CD3+ T Lymphocyte Susceptibility to Equine Arteritis Virus Infection and Establishment of Long-Term Carrier State in the Stallion. PLoS Genetics. 12(12). e1006467–e1006467. 16 indexed citations
17.
Heaton, Michael P., Timothy P. L. Smith, Veronica Basnayake, et al.. (2016). P6026 Using diverse U.S. beef cattle genomes to identify missense mutations in EPAS1, a gene associated with high-altitude pulmonary hypertension.. Journal of Animal Science. 94. 161–162. 3 indexed citations
18.
Kalbfleisch, Ted, et al.. (2015). Interaction between smoking history and gene expression levels impacts survival of breast cancer patients. Breast Cancer Research and Treatment. 152(3). 545–556. 25 indexed citations
19.
Montoya–Durango, Diego E., Yongqing Liu, Ivo Teneng, et al.. (2009). Epigenetic control of mammalian LINE-1 retrotransposon by retinoblastoma proteins. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 665(1-2). 20–28. 76 indexed citations
20.
Heaton, Michael P., J. W. Keele, Gregory P. Harhay, et al.. (2008). Prevalence of the prion protein gene E211K variant in U.S. cattle. BMC Veterinary Research. 4(1). 25–25. 37 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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