Jonathan E. Beever

3.9k total citations
86 papers, 2.0k citations indexed

About

Jonathan E. Beever is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Jonathan E. Beever has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 37 papers in Molecular Biology and 14 papers in Immunology. Recurrent topics in Jonathan E. Beever's work include Genetic Mapping and Diversity in Plants and Animals (29 papers), Genetic and phenotypic traits in livestock (26 papers) and Animal Genetics and Reproduction (15 papers). Jonathan E. Beever is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (29 papers), Genetic and phenotypic traits in livestock (26 papers) and Animal Genetics and Reproduction (15 papers). Jonathan E. Beever collaborates with scholars based in United States, China and France. Jonathan E. Beever's co-authors include Harris A. Lewin, Lawrence B. Schook, Yang Da, Sandra L. Rodriguez‐Zas, D.W. Heyen, Bruce R. Southey, Brandy M. Marron, Nick V. L. Serão, M. Ron and Schuyler S. Korban and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jonathan E. Beever

80 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan E. Beever United States 25 1.2k 705 398 213 165 86 2.0k
Bo Thomsen Denmark 30 1.1k 0.9× 1.5k 2.1× 373 0.9× 325 1.5× 393 2.4× 79 2.6k
Laurent Schibler France 30 1.7k 1.4× 997 1.4× 442 1.1× 257 1.2× 326 2.0× 96 2.6k
B. A. Freking United States 30 1.5k 1.3× 983 1.4× 184 0.5× 204 1.0× 476 2.9× 91 2.5k
Alex Clop Spain 23 1.3k 1.2× 1.3k 1.9× 260 0.7× 588 2.8× 95 0.6× 52 2.6k
Mengjin Zhu China 21 970 0.8× 1.0k 1.4× 511 1.3× 502 2.4× 196 1.2× 106 2.4k
S M Kappes United States 23 2.3k 2.0× 637 0.9× 539 1.4× 256 1.2× 237 1.4× 59 2.8k
Alex Van Zeveren Belgium 22 712 0.6× 810 1.1× 93 0.2× 174 0.8× 191 1.2× 92 1.8k
Keith W. Savin Australia 22 937 0.8× 509 0.7× 657 1.7× 198 0.9× 271 1.6× 37 1.9k
M. D. Bishop United States 21 1.5k 1.3× 577 0.8× 365 0.9× 132 0.6× 332 2.0× 56 2.0k
Derek J. McLean United States 29 1.4k 1.2× 1.3k 1.8× 141 0.4× 165 0.8× 172 1.0× 73 3.4k

Countries citing papers authored by Jonathan E. Beever

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Beever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan E. Beever

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan E. Beever. A scholar is included among the top collaborators of Jonathan E. Beever 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 Jonathan E. Beever. Jonathan E. Beever 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.
Peterson, Kent D., Susanta K. Behura, David Kakhniashvili, et al.. (2025). Bovine Endometrium Drives and Responds to Divergence of In Vitro Produced Conceptus Biochemistry. The FASEB Journal. 39(16). e70951–e70951.
2.
Beever, Jonathan E., et al.. (2025). Whole transcriptome analysis of Mycoplasma bovis-host interactions under in vitro and in vivo conditions. Veterinary Microbiology. 303. 110426–110426. 1 indexed citations
3.
Rodrigues, Fernanda Martins, et al.. (2025). Characterizing differences in the muscle transcriptome between cattle with alternative LCORL-NCAPG haplotypes. BMC Genomics. 26(1). 479–479.
4.
Veiga, Inês Berenguer, et al.. (2021). A KRT71 Loss-of-Function Variant Results in Inner Root Sheath Dysplasia and Recessive Congenital Hypotrichosis of Hereford Cattle. Genes. 12(7). 1038–1038. 10 indexed citations
5.
Marron, Brandy M., et al.. (2021). A Nonsense Variant in Hephaestin Like 1 (HEPHL1) Is Responsible for Congenital Hypotrichosis in Belted Galloway Cattle. Genes. 12(5). 643–643. 5 indexed citations
6.
Serão, Nick V. L., Dianelys González-Peña, Jonathan E. Beever, et al.. (2013). Single nucleotide polymorphisms and haplotypes associated with feed efficiency in beef cattle. BMC Genetics. 14(1). 94–94. 58 indexed citations
7.
Han, Yuepeng, Danman Zheng, Sornkanok Vimolmangkang, et al.. (2011). Integration of physical and genetic maps in apple confirms whole-genome and segmental duplications in the apple genome. Journal of Experimental Botany. 62(14). 5117–5130. 66 indexed citations
8.
Han, Yuepeng, David Chagné, Ksenija Gašić, et al.. (2008). BAC-end sequence-based SNPs and Bin mapping for rapid integration of physical and genetic maps in apple. Genomics. 93(3). 282–288. 23 indexed citations
9.
Rogatcheva, Margarita B., K. L. Fritz, Laurie A. Rund, et al.. (2007). Characterization of the porcine ATM gene: Towards the generation of a novel non-murine animal model for Ataxia-Telangiectasia. Gene. 405(1-2). 27–35. 10 indexed citations
10.
Larson, Joshua H., Brandy M. Marron, Jonathan E. Beever, Bruce A. Roe, & Harris A. Lewin. (2006). Genomic organization and evolution of the ULBP genes in cattle. BMC Genomics. 7(1). 227–227. 22 indexed citations
11.
Marron, Brandy M., et al.. (2004). Identification of a mutation associated with factor XI deficiency in Holstein cattle. Animal Genetics. 35(6). 454–456. 49 indexed citations
12.
Da, Yang, P.M. VanRaden, M. Ron, et al.. (1999). Standardization and conversion of marker polymorphism measures. Animal Biotechnology. 10(1-2). 25–35. 3 indexed citations
13.
Cockett, N. E., T. L. Shay, Jonathan E. Beever, et al.. (1999). Localization of the locus causing Spider Lamb Syndrome to the distal end of ovine Chromosome 6. Mammalian Genome. 10(1). 35–38. 30 indexed citations
14.
Beever, Jonathan E., Nicole de Leeuw, Harris A. Lewin, et al.. (1998). Characterization of the 3’ End of the Gene for Bovine Factor XI. Journal of Dairy Science. 81(2). 539–543. 4 indexed citations
15.
Shalhevet, D., et al.. (1993). Linkage Relationships between ALPL, ENO1, GPI, PGD, and TGFB1 on Porcine Chromosome 6. Genomics. 17(2). 324–329. 26 indexed citations
16.
Eijk, Michiel J. T. van, et al.. (1992). Development of persistent lymphocytosis in cattle is closely associated with DRB2. Immunogenetics. 37(1). 64–68. 23 indexed citations
17.
Beever, Jonathan E. & Harris A. Lewin. (1992). RFLP at the bovine phosphogluconate dehydrogenase (PGD) locus. Animal Genetics. 23(6). 575–575. 3 indexed citations
18.
Beever, Jonathan E. & Harris A. Lewin. (1992). RFLP at the bovine Gardner‐Rasheed feline sarcoma oncogene homologue (FGR) locus. Animal Genetics. 23(6). 576–576. 3 indexed citations
19.
Beever, Jonathan E., et al.. (1992). Detection of linkage between genetic markers and genes that affect growth and carcass traits in pigs. Journal of Animal Science. 70(9). 2695–2706. 18 indexed citations
20.
Beever, Jonathan E., et al.. (1990). Associations between genetic markers and growth and carcass traits in a paternal half-sib family of Angus cattle.. Journal of Animal Science. 68(2). 337–337. 40 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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