Nancy E. Raney

929 total citations
40 papers, 714 citations indexed

About

Nancy E. Raney is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Nancy E. Raney has authored 40 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 15 papers in Animal Science and Zoology and 13 papers in Molecular Biology. Recurrent topics in Nancy E. Raney's work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Meat and Animal Product Quality (8 papers). Nancy E. Raney is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Meat and Animal Product Quality (8 papers). Nancy E. Raney collaborates with scholars based in United States, Argentina and Brazil. Nancy E. Raney's co-authors include Catherine W. Ernst, R. O. Bates, Juan P. Steibel, David B. Edwards, Robert J. Tempelman, M. E. Doumit, R. J. C. Cantet, Igseo Choi, Guilherme J. M. Rosa and Jane E. Link and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Nutrition.

In The Last Decade

Nancy E. Raney

37 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy E. Raney United States 15 466 243 197 123 115 40 714
Anna Mercadé Spain 14 451 1.0× 207 0.9× 191 1.0× 93 0.8× 103 0.9× 27 627
Atsushi Ogino Japan 11 452 1.0× 172 0.7× 142 0.7× 113 0.9× 95 0.8× 24 592
S. Čepica Czechia 16 700 1.5× 296 1.2× 222 1.1× 173 1.4× 119 1.0× 63 908
M. Szydłowski Poland 18 563 1.2× 269 1.1× 229 1.2× 137 1.1× 118 1.0× 72 923
José Luís Noguera Spain 12 324 0.7× 161 0.7× 128 0.6× 55 0.4× 85 0.7× 19 457
Sven Paul Germany 9 436 0.9× 255 1.0× 371 1.9× 75 0.6× 63 0.5× 15 876
Hyun‐Tae Lim South Korea 15 364 0.8× 302 1.2× 164 0.8× 29 0.2× 106 0.9× 62 643
M. Tyra Poland 16 387 0.8× 453 1.9× 176 0.9× 35 0.3× 117 1.0× 88 769
E. Alves Spain 15 456 1.0× 245 1.0× 176 0.9× 40 0.3× 82 0.7× 23 643

Countries citing papers authored by Nancy E. Raney

Since Specialization
Citations

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

Fields of papers citing papers by Nancy E. Raney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy E. Raney

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy E. Raney. A scholar is included among the top collaborators of Nancy E. Raney 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 Nancy E. Raney. Nancy E. Raney 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.
Corbett, Ryan J., Haibo Liu, Nancy E. Raney, et al.. (2022). Assessment of DNA methylation in porcine immune cells reveals novel regulatory elements associated with cell-specific gene expression and immune capacity traits. BMC Genomics. 23(1). 575–575. 3 indexed citations
2.
Steibel, Juan P., et al.. (2021). Integrated Genome-Wide Analysis of MicroRNA Expression Quantitative Trait Loci in Pig Longissimus Dorsi Muscle. Frontiers in Genetics. 12. 644091–644091. 4 indexed citations
3.
4.
Ernst, Catherine W., et al.. (2017). Genome-wide association study in an F2 Duroc x Pietrain resource population for economically important meat quality and carcass traits1. Journal of Animal Science. 95(2). 545–558. 26 indexed citations
5.
6.
Steibel, Juan P., et al.. (2017). Evidence for transcriptome-wide RNA editing among Sus scrofa PRE-1 SINE elements. BMC Genomics. 18(1). 360–360. 22 indexed citations
7.
Schroyen, Martine, Juan P. Steibel, James E. Koltes, et al.. (2015). Whole blood microarray analysis of pigs showing extreme phenotypes after a porcine reproductive and respiratory syndrome virus infection. BMC Genomics. 16(1). 516–516. 12 indexed citations
8.
Choi, Igseo, et al.. (2015). Association of Insulin-like growth factor binding protein 2 genotypes with growth, carcass and meat quality traits in pigs. Journal of Animal Science and Technology. 57(1). 31–31. 4 indexed citations
9.
Cantet, R. J. C., et al.. (2014). Rapid screening for phenotype-genotype associations by linear transformations of genomic evaluations. BMC Bioinformatics. 15(1). 246–246. 57 indexed citations
10.
Bates, R. O., et al.. (2013). Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels. BMC Genetics. 14(1). 38–38. 37 indexed citations
11.
Choi, Igseo, R. O. Bates, Nancy E. Raney, Juan P. Steibel, & Catherine W. Ernst. (2012). Evaluation of QTL for carcass merit and meat quality traits in a US commercial Duroc population. Meat Science. 92(2). 132–138. 14 indexed citations
12.
Kim, Sung Woo, et al.. (2012). Evaluation of BTA1 and BTA5 QTL Regions for Growth and Carcass Traits in American and Korean Cattle. Asian-Australasian Journal of Animal Sciences. 25(11). 1521–1528. 5 indexed citations
13.
Bates, R. O., M. E. Doumit, Nancy E. Raney, Elena Helman, & Catherine W. Ernst. (2012). Association of halothane sensitivity with growth and meat quality in pigs. animal. 6(9). 1537–1542. 7 indexed citations
14.
Steibel, Juan P., R. O. Bates, Guilherme J. M. Rosa, et al.. (2011). Genome-Wide Linkage Analysis of Global Gene Expression in Loin Muscle Tissue Identifies Candidate Genes in Pigs. PLoS ONE. 6(2). e16766–e16766. 40 indexed citations
15.
Martínez, Michelle, G. M. Hill, Nancy E. Raney, et al.. (2008). Gene expression profiling in hepatic tissue of newly weaned pigs fed pharmacological zinc and phytase supplemented diets. BMC Genomics. 9(1). 421–421. 25 indexed citations
16.
Edwards, David B., et al.. (2007). Quantitative trait locus mapping in an F2 Duroc × Pietrain resource population: II. Carcass and meat quality traits1. Journal of Animal Science. 86(2). 254–266. 111 indexed citations
17.
Edwards, David B., Catherine W. Ernst, Robert J. Tempelman, et al.. (2007). Quantitative trait loci mapping in an F2 Duroc × Pietrain resource population: I. Growth traits1. Journal of Animal Science. 86(2). 241–253. 56 indexed citations
18.
Raney, Nancy E., et al.. (2006). Radiation hybrid mapping of 24 porcine skeletal muscle expressed sequence tags. Animal Genetics. 37(3). 302–304. 1 indexed citations
19.
Ernst, Catherine W., et al.. (2004). Mapping of the FES and FURIN genes to porcine chromosome 7. Animal Genetics. 35(2). 142–143. 4 indexed citations
20.
Farber, Charles R., Nancy E. Raney, D. L. Kuhlers, Kalaivani Nadarajah, & Catherine W. Ernst. (2003). Mapping of Porcine Genetic Markers Generated by Representational Difference Analysis. Animal Biotechnology. 14(1). 87–102.

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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