C. R. Schwab

512 total citations
20 papers, 378 citations indexed

About

C. R. Schwab is a scholar working on Animal Science and Zoology, Genetics and Small Animals. According to data from OpenAlex, C. R. Schwab has authored 20 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Animal Science and Zoology, 12 papers in Genetics and 11 papers in Small Animals. Recurrent topics in C. R. Schwab's work include Animal Nutrition and Physiology (14 papers), Animal Behavior and Welfare Studies (11 papers) and Genetic and phenotypic traits in livestock (11 papers). C. R. Schwab is often cited by papers focused on Animal Nutrition and Physiology (14 papers), Animal Behavior and Welfare Studies (11 papers) and Genetic and phenotypic traits in livestock (11 papers). C. R. Schwab collaborates with scholars based in United States. C. R. Schwab's co-authors include T. J. Baas, Kenneth J. Stalder, J. W. Mabry, D. W. Newcom, T. S. Stewart, Harvey D. Blackburn, Dan Nettleton, M.E. Einstein, A. P. Schinckel and Benny E Mote and has published in prestigious journals such as Journal of Animal Science, Livestock Science and Journal of Animal Breeding and Genetics.

In The Last Decade

C. R. Schwab

18 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. R. Schwab United States 11 255 185 83 51 50 20 378
D. W. Newcom United States 8 243 1.0× 157 0.8× 121 1.5× 25 0.5× 24 0.5× 16 346
Magdalena Szyndler‐Nędza Poland 12 197 0.8× 163 0.9× 69 0.8× 19 0.4× 39 0.8× 62 345
Rui Charneca Portugal 10 165 0.6× 63 0.3× 78 0.9× 42 0.8× 58 1.2× 27 271
Pierre P. Sellier France 10 452 1.8× 330 1.8× 173 2.1× 99 1.9× 97 1.9× 11 641
Eli Gjerlaug‐Enger Norway 11 223 0.9× 119 0.6× 49 0.6× 19 0.4× 36 0.7× 15 320
P.N. de Groot Netherlands 7 176 0.7× 306 1.7× 120 1.4× 38 0.7× 56 1.1× 11 455
Khaleel I. Jawasreh Jordan 12 180 0.7× 180 1.0× 40 0.5× 18 0.4× 75 1.5× 47 407
R. Barea Spain 12 472 1.9× 106 0.6× 228 2.7× 83 1.6× 48 1.0× 19 544
I. Hansson Sweden 10 297 1.2× 173 0.9× 90 1.1× 25 0.5× 80 1.6× 14 463
E. Alves Spain 15 245 1.0× 456 2.5× 38 0.5× 62 1.2× 176 3.5× 23 643

Countries citing papers authored by C. R. Schwab

Since Specialization
Citations

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

Fields of papers citing papers by C. R. Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. R. Schwab. 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 C. R. Schwab. The network helps show where C. R. Schwab may publish in the future.

Co-authorship network of co-authors of C. R. Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of C. R. Schwab. A scholar is included among the top collaborators of C. R. Schwab 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 C. R. Schwab. C. R. Schwab 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.
Maltecca, Christian, Jicai Jiang, Justin Fix, et al.. (2022). 406. Compressing microbiota information using an autoencoder to predict growth traits in swine. 1692–1695. 1 indexed citations
2.
Ellis, M. A., et al.. (2017). 030 Effect of swine sire line and selection index category on wean-to-finish growth performance and carcass characteristics. Journal of Animal Science. 95(suppl_2). 14–14. 3 indexed citations
3.
Schwab, C. R., et al.. (2016). Predicting pork loin chop yield using carcass and loin characteristics. Journal of Animal Science. 94(11). 4903–4910. 7 indexed citations
4.
Schwab, C. R., et al.. (2013). Estimation of deviations from predicted lactation feed intake and the effect on reproductive performance. Livestock Science. 154(1-3). 184–192. 8 indexed citations
5.
Schwab, C. R., et al.. (2012). Lactation feed intake in purebred and F1 sows and its relationship with reproductive performance. Livestock Science. 150(1-3). 187–199. 12 indexed citations
6.
Schinckel, A. P., et al.. (2010). Use of a Stochastic Model to Evaluate the Growth Performance and Profitability of Pigs from Different Litter Sizes and Parities of Dams. The Professional Animal Scientist. 26(5). 547–560. 11 indexed citations
7.
Stewart, T. S., et al.. (2010). Pedigree analysis of 5 swine breeds in the United States and the implications for genetic conservation1. Journal of Animal Science. 88(5). 1610–1618. 50 indexed citations
8.
Schinckel, A. P., et al.. (2010). Analyses of Feed and Energy Intakes During Lactation for Three Breeds of Sows. The Professional Animal Scientist. 26(1). 35–50. 18 indexed citations
9.
Schwab, C. R., T. J. Baas, Kenneth J. Stalder, & Dan Nettleton. (2009). Results from six generations of selection for intramuscular fat in Duroc swine using real-time ultrasound. I. Direct and correlated phenotypic responses to selection1. Journal of Animal Science. 87(9). 2774–2780. 37 indexed citations
10.
Schwab, C. R., et al.. (2009). An evaluation of four candidate genes for use in selection programmes aimed at increased intramuscular fat in Duroc swine. Journal of Animal Breeding and Genetics. 126(3). 228–236. 31 indexed citations
11.
Schwab, C. R., T. J. Baas, & Kenneth J. Stalder. (2009). Results from six generations of selection for intramuscular fat in Duroc swine using real-time ultrasound. II. Genetic parameters and trends1. Journal of Animal Science. 88(1). 69–79. 25 indexed citations
12.
Blackburn, Harvey D., et al.. (2009). Population Status of Major U.S. Swine Breeds. Insecta mundi. 2 indexed citations
13.
Schwab, C. R., T. J. Baas, Kenneth J. Stalder, & J. W. Mabry. (2007). Deposition rates and accretion patterns of intramuscular fat, loin muscle area, and backfat of Duroc pigs sired by boars from two time periods1. Journal of Animal Science. 85(6). 1540–1546. 20 indexed citations
14.
Schwab, C. R., et al.. (2006). Selection for intramuscular fat in Duroc swine.. 29. 6–14. 1 indexed citations
15.
Schwab, C. R., T. J. Baas, Kenneth J. Stalder, & J. W. Mabry. (2006). Effect of long-term selection for increased leanness on meat and eating quality traits in Duroc swine1. Journal of Animal Science. 84(6). 1577–1583. 70 indexed citations
16.
Newcom, D. W., T. J. Baas, Kenneth J. Stalder, & C. R. Schwab. (2005). Comparison of three models to estimate breeding values for percentage of loin intramuscular fat in Duroc swine1. Journal of Animal Science. 83(4). 750–756. 23 indexed citations
17.
Newcom, D. W., T. J. Baas, C. R. Schwab, & Kenneth J. Stalder. (2005). Genetic and phenotypic relationships between individual subcutaneous backfat layers and percentage of longissimus intramuscular fat in Duroc swine. Journal of Animal Science. 83(2). 316–316. 55 indexed citations
18.
Schwab, C. R., et al.. (2005). Selection for Intramuscular Fat in Duroc Swine – An Update. Iowa State University Digital Repository (Iowa State University). 30. 2 indexed citations
19.
Schwab, C. R., T. J. Baas, D. W. Newcom, & Kenneth J. Stalder. (2004). The Effects of Long Term Selection for Reduced Backfat and Increased Loin Muscle Area on Meat and Eating Quality Traits in Duroc Swine. Iowa State University Digital Repository (Iowa State University). 29. 1 indexed citations
20.
Baas, T. J., et al.. (2003). Comparison of Grain Sources (Barley, White Corn, and Yellow Corn) for Swine Diets and Their Effect on Production and Carcass Traits. Iowa State University Digital Repository (Iowa State University). 1(1). 1 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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