C. R. Schwab
- Animal Science and Zoology top 2%
- Genetics top 10%
- Small Animals top 5%
- Physiology
- Molecular Biology
- Co-authors
- T. J. BaasKenneth J. StalderJ. W. MabryD. W. NewcomT. S. StewartHarvey D. BlackburnDan NettletonM.E. Einstein
- Topics
- Animal Nutrition and Physiology (14 papers)Animal Behavior and Welfare Studies (11 papers)Genetic and phenotypic traits in livestock (11 papers)
- Partner nations
- United States
In The Last Decade
C. R. Schwab
18 papers receiving 364 citations
Peers
Comparison fields: 5 of 47
- Animal Science and Zoology 255
- Genetics 185
- Small Animals 83
- Physiology 51
- Molecular Biology 50
Countries citing papers authored by C. R. Schwab
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 50 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 37 | |
| 10 | 25 | |
| 11 | 31 | |
| 12 | Population Status of Major U.S. Swine Breeds | 2 |
| 13 | 20 | |
| 14 | Selection for intramuscular fat in Duroc swine. | 1 |
| 15 | 70 | |
| 16 | 55 | |
| 17 | 23 | |
| 18 | Selection for Intramuscular Fat in Duroc Swine – An Update | 2 |
| 19 | The Effects of Long Term Selection for Reduced Backfat and Increased Loin Muscle Area on Meat and Eating Quality Traits in Duroc Swine | 1 |
| 20 | Comparison of Grain Sources (Barley, White Corn, and Yellow Corn) for Swine Diets and Their Effect on Production and Carcass Traits | 1 |
About C. R. Schwab
C. R. Schwab is a scholar working on Animal Science and Zoology, Small Animals and Genetics, having authored 20 papers that have together received 378 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (14 papers), Animal Behavior and Welfare Studies (11 papers) and Genetic and phenotypic traits in livestock (11 papers). The work is most often cited by research in Animal Science and Zoology (255 citations), Small Animals (83 citations) and Genetics (185 citations). C. R. Schwab has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Journal of Animal Science, Livestock Science and Journal of Animal Breeding and Genetics.
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.