Penny K. Riggs

3.0k total citations
76 papers, 987 citations indexed

About

Penny K. Riggs is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Penny K. Riggs has authored 76 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 33 papers in Genetics and 14 papers in Animal Science and Zoology. Recurrent topics in Penny K. Riggs's work include Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Meat and Animal Product Quality (7 papers). Penny K. Riggs is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Meat and Animal Product Quality (7 papers). Penny K. Riggs collaborates with scholars based in United States, Brazil and France. Penny K. Riggs's co-authors include John DiGiovanni, David G. Riley, Kelli J. Kochan, D.S. Gallagher, M.E.J. Amaral, Thomas H. Welsh, Susan E. Long, Jennifer L. Womack, C. A. Gill and C.P. Popescu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Free Radical Biology and Medicine and Gene.

In The Last Decade

Penny K. Riggs

70 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penny K. Riggs United States 18 421 323 179 131 121 76 987
Lei An China 22 202 0.5× 493 1.5× 109 0.6× 60 0.5× 207 1.7× 65 1.1k
Ève Devinoy France 24 794 1.9× 868 2.7× 169 0.9× 73 0.6× 94 0.8× 69 1.6k
Liguo Yang China 25 509 1.2× 612 1.9× 359 2.0× 104 0.8× 165 1.4× 106 1.7k
Deping Han China 18 130 0.3× 246 0.8× 69 0.4× 47 0.4× 145 1.2× 45 781
Mehmet Ulaş Çınar Türkiye 22 480 1.1× 493 1.5× 157 0.9× 58 0.4× 183 1.5× 96 1.3k
Sijiu Yu China 17 179 0.4× 275 0.9× 136 0.8× 39 0.3× 82 0.7× 114 827
Dong Il Jin South Korea 21 298 0.7× 712 2.2× 74 0.4× 69 0.5× 103 0.9× 88 1.4k
E.H. Wall United States 21 268 0.6× 172 0.5× 520 2.9× 74 0.6× 172 1.4× 51 1.1k
Yongjie Wan China 20 364 0.9× 641 2.0× 93 0.5× 60 0.5× 60 0.5× 66 1.1k
Shuyun Li China 18 180 0.4× 275 0.9× 45 0.3× 133 1.0× 140 1.2× 85 929

Countries citing papers authored by Penny K. Riggs

Since Specialization
Citations

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

Fields of papers citing papers by Penny K. Riggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penny K. Riggs

This figure shows the co-authorship network connecting the top 25 collaborators of Penny K. Riggs. A scholar is included among the top collaborators of Penny K. Riggs 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 Penny K. Riggs. Penny K. Riggs 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.
2.
Cardoso, Rodolfo C., Noushin Ghaffari, Charles R. Long, et al.. (2023). Inter-Individual Variation in DNA Methylation Patterns across Two Tissues and Leukocytes in Mature Brahman Cattle. Biology. 12(2). 252–252. 2 indexed citations
3.
Herring, A. D., J. E. Sawyer, James O. Sanders, et al.. (2022). Evaluation of Post-weaning Efficiency in Nellore-Angus Crossbred Steers through Model Predicted Residual Consumption. Sustainable Agriculture Research. 11(2). 46–46.
4.
Riggs, Penny K., Robert N. Vaughn, Brian W. Davis, et al.. (2022). Differential Expression of MicroRNAs in Dark-Cutting Meat from Beef Carcasses. Applied Sciences. 12(7). 3555–3555. 2 indexed citations
5.
Vaughn, Robert N., Kelli J. Kochan, ‬Min Du, et al.. (2022). Skeletal Muscle Expression of Actinin-3 (ACTN3) in Relation to Feed Efficiency Phenotype of F2Bos indicus - Bos taurus Steers. Frontiers in Genetics. 13. 796038–796038. 3 indexed citations
6.
Konganti, Kranti, Jason J. Gill, Brian W. Davis, et al.. (2021). Complete Whole Genome Sequences of Escherichia coli Surrogate Strains and Comparison of Sequence Methods with Application to the Food Industry. Microorganisms. 9(3). 608–608. 5 indexed citations
7.
Riggs, Penny K., et al.. (2020). Genome-wide DNA methylation alteration in prenatally stressed Brahman heifer calves with the advancement of age. Epigenetics. 16(5). 519–536. 6 indexed citations
8.
Miller, Michael, G. E. Carstens, Jennifer M. Thomson, et al.. (2016). 1491 Associations between residual feed intake and metabolite profiles and feeding behavior traits in feedlot cattle. Journal of Animal Science. 94(suppl_5). 723–724. 1 indexed citations
9.
Kochan, Kelli J., et al.. (2015). Differential miRNA expression in inherently high- and low-active inbred mice. Physiological Reports. 3(7). e12469–e12469. 12 indexed citations
10.
Ing, Nancy H., D.W. Forrest, Penny K. Riggs, et al.. (2014). Dexamethasone acutely down-regulates genes involved in steroidogenesis in stallion testes. The Journal of Steroid Biochemistry and Molecular Biology. 143. 451–459. 28 indexed citations
11.
Riley, David G., C. A. Gill, A. D. Herring, et al.. (2014). Genetic evaluation of aspects of temperament in Nellore–Angus calves1,2. Journal of Animal Science. 92(8). 3223–3230. 13 indexed citations
12.
Abel, Erika L., Joe M. Angel, Penny K. Riggs, et al.. (2010). Evidence That Gsta4 Modifies Susceptibility to Skin Tumor Development in Mice and Humans. JNCI Journal of the National Cancer Institute. 102(21). 1663–1675. 20 indexed citations
13.
Kochan, Kelli J., Robert N. Vaughn, Colette A. Abbey, et al.. (2009). Expression of mitochondrial respiratory complex genes in liver tissue of cattle with different feed efficiency phenotypes. 175–178. 1 indexed citations
14.
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
15.
Shen, Jianjun, Penny K. Riggs, Sean C. Hensley, et al.. (2007). Differential expression of multiple anti‐apoptotic proteins in epidermis of IGF‐1 transgenic mice as revealed by 2‐dimensional gel electrophoresis/mass spectrometry analysis. Molecular Carcinogenesis. 46(5). 331–340. 11 indexed citations
16.
Riggs, Penny K., Joe M. Angel, Erika L. Abel, & John DiGiovanni. (2005). Differential gene expression in epidermis of mice sensitive and resistant to phorbol ester skin tumor promotion. Molecular Carcinogenesis. 44(2). 122–136. 26 indexed citations
17.
Riggs, Penny K., et al.. (2004). Comparative analysis of noncoding sequences of orthologous bovine and human gene pairs.. PubMed. 3(4). 465–73. 7 indexed citations
18.
19.
Riggs, Penny K., Thomas Kuczek, C. Larry Chrisman, & C. A. Bidwell. (1993). Analysis of aphidicolin-induced chromosome fragility in the domestic pig (<i>Sus scrofa</i>). Cytogenetic and Genome Research. 62(2-3). 110–116. 25 indexed citations
20.
Bell, Linda, et al.. (1988). Pruritus in burns: a descriptive study.. PubMed. 9(3). 305–8. 61 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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