James E. Womack

15.3k total citations
325 papers, 8.6k citations indexed

About

James E. Womack is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, James E. Womack has authored 325 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Genetics, 128 papers in Molecular Biology and 63 papers in Plant Science. Recurrent topics in James E. Womack's work include Genetic Mapping and Diversity in Plants and Animals (107 papers), Animal Genetics and Reproduction (90 papers) and Genetic and phenotypic traits in livestock (78 papers). James E. Womack is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (107 papers), Animal Genetics and Reproduction (90 papers) and Genetic and phenotypic traits in livestock (78 papers). James E. Womack collaborates with scholars based in United States, Germany and Brazil. James E. Womack's co-authors include David W. Threadgill, D.S. Gallagher, Ruedi Fries, Srinivas R. Kata, Loren C. Skow, A. Eggen, Jeremy F. Taylor, Allan B. Dietz, W. Barendse and Harris A. Lewin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James E. Womack

316 papers receiving 8.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James E. Womack 5.2k 3.2k 1.8k 973 833 325 8.6k
Craig W. Beattie 3.9k 0.8× 2.7k 0.8× 998 0.6× 474 0.5× 307 0.4× 218 7.3k
Alan Archibald 4.9k 0.9× 3.1k 1.0× 893 0.5× 674 0.7× 671 0.8× 214 7.9k
Henry D. Hunt 2.0k 0.4× 7.2k 2.2× 1.1k 0.6× 1.9k 2.0× 253 0.3× 73 12.1k
Paul M. Wassarman 4.0k 0.8× 6.3k 2.0× 579 0.3× 1.1k 1.1× 624 0.7× 189 15.3k
Francis Galibert 3.9k 0.8× 8.1k 2.5× 1.8k 1.0× 1.3k 1.3× 252 0.3× 259 14.1k
J. W. Keele 5.2k 1.0× 2.0k 0.6× 1.2k 0.7× 243 0.2× 786 0.9× 134 7.0k
Christian Bendixen 2.2k 0.4× 3.5k 1.1× 999 0.6× 258 0.3× 591 0.7× 156 6.3k
Merete Fredholm 3.4k 0.7× 2.3k 0.7× 769 0.4× 287 0.3× 226 0.3× 204 6.6k
Juan F. Medrano 3.7k 0.7× 3.1k 1.0× 608 0.3× 417 0.4× 1.3k 1.5× 217 7.6k
Martien A. M. Groenen 9.8k 1.9× 3.8k 1.2× 2.6k 1.4× 676 0.7× 636 0.8× 334 13.4k

Countries citing papers authored by James E. Womack

Since Specialization
Citations

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

Fields of papers citing papers by James E. Womack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Womack

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Womack. A scholar is included among the top collaborators of James E. Womack 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 James E. Womack. James E. Womack 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.
Neibergs, Holly L., et al.. (2014). An Estimate of the Economic Gain from Selection to Reduce BRDC Incidence in Dairy Calves. Proceedings of the World Congress on Genetics Applied to Livestock Production. 405. 2 indexed citations
2.
Womack, James E., et al.. (2012). Genomics of complex traits. Annals of the New York Academy of Sciences. 1271(1). 33–36. 18 indexed citations
3.
Stafuzza, Nedenia Bonvino, Alexandre Rodrigues Caetano, C. A. Gill, et al.. (2008). Mapping MHC Genes in River Buffalo. PubMed. 132. 343–346. 7 indexed citations
4.
Cargill, Edward J. & James E. Womack. (2007). Detection of polymorphisms in bovine toll-like receptors 3, 7, 8, and 9. Genomics. 89(6). 745–755. 48 indexed citations
5.
Womack, James E.. (2006). 12 Advances in Livestock Genomics: Opening the Barn Door. Cold Spring Harbor Monograph Archive. 46. 237–254. 1 indexed citations
6.
Womack, James E.. (2005). Advances in livestock genomics: Opening the barn door. Genome Research. 15(12). 1699–1705. 82 indexed citations
7.
Wind, Annelie Everts-van der, Srinivas R. Kata, Mark R. Band, et al.. (2004). A 1463 Gene Cattle–Human Comparative Map With Anchor Points Defined by Human Genome Sequence Coordinates. Genome Research. 14(7). 1424–1437. 110 indexed citations
8.
Iannuzzi, L., D.S. Gallagher, James E. Womack, et al.. (2004). Chromosomal Localization of the Major Histocompatibility Complex in Cattle and River Buffalo by Fluorescent in Situ Hybridization. Hereditas. 118(2). 187–190. 10 indexed citations
9.
Raudsepp, Terje, Srinivas R. Kata, L. V. Millon, et al.. (2003). The First-Generation Whole-Genome Radiation Hybrid Map in the Horse Identifies Conserved Segments in Human and Mouse Genomes. Genome Research. 13(4). 742–751. 124 indexed citations
10.
Larkin, Denis M., Annelie Everts-van der Wind, Mark Rebeiz, et al.. (2003). A Cattle–Human Comparative Map Built with Cattle BAC-Ends and Human Genome Sequence. Genome Research. 13(8). 1966–1972. 116 indexed citations
11.
Band, Mark R., Joshua H. Larson, Mark Rebeiz, et al.. (2000). An Ordered Comparative Map of the Cattle and Human Genomes. Genome Research. 10(9). 1359–1368. 242 indexed citations
12.
Teale, A.J., Morris Agaba, A. Gelhaus, et al.. (1999). Resistance to trypanosomosis: of markers, genes and mechanisms. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 42. 36–41. 3 indexed citations
13.
Gallagher, D.S., et al.. (1996). High-resolution FISH mapping of β-defensin genes to river buffalo and sheep chromosomes suggests a chromosome discrepancy in cattle standard karyotypes. Cytogenetic and Genome Research. 75(1). 10–13. 23 indexed citations
14.
Georges, Michel, Dahlia M. Nielsen, Margaret J. Mackinnon, et al.. (1995). Mapping quantitative trait loci controlling milk production by exploiting progeny testing. Open Repository and Bibliography (University of Liège). 29 indexed citations
15.
Ryan, Anne, D. P. Hutcheson, & James E. Womack. (1993). Type-I interferon genotypes and severity of clinical disease in cattle inoculated with bovine herpesvirus 1. American Journal of Veterinary Research. 54(1). 73–79. 4 indexed citations
16.
Ryan, Anne & James E. Womack. (1993). Hybridization profiles and restriction fragment length polymorphisms for bovine and ovine interferon genes. Animal Biotechnology. 4(1). 11–30. 5 indexed citations
17.
18.
Sikora, L. J. & James E. Womack. (1988). The art and science of manufacturing waveguide slot-array antennas. Microwave journal. 31. 157–160. 6 indexed citations
19.
Breider, Michael A., L. Garry Adams, & James E. Womack. (1987). Influence of interferon in natural resistance of mice to Sendai virus pneumonia. American Journal of Veterinary Research. 48(12). 1746–1750. 9 indexed citations
20.
Womack, James E. & Joe W. Templeton. (1978). Veterinary Medical Genetics: A Developing Discipline.. Journal of Veterinary Medical Education. 5(3).

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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