C.P. Mathis

1.0k total citations
39 papers, 815 citations indexed

About

C.P. Mathis is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, C.P. Mathis has authored 39 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Agronomy and Crop Science, 15 papers in Genetics and 7 papers in Small Animals. Recurrent topics in C.P. Mathis's work include Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (15 papers) and Reproductive Physiology in Livestock (14 papers). C.P. Mathis is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (15 papers) and Reproductive Physiology in Livestock (14 papers). C.P. Mathis collaborates with scholars based in United States, Egypt and Japan. C.P. Mathis's co-authors include R.C. Cochran, Jeff S Heldt, Evan C. Titgemeyer, C.A. Löest, J. E. Sawyer, K. C. Olson, B.C. Woods, J. W. Waggoner, E.S. Vanzant and T. G. Nagaraja and has published in prestigious journals such as Journal of Animal Science, Animal Feed Science and Technology and Agricultural Systems.

In The Last Decade

C.P. Mathis

37 papers receiving 746 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.P. Mathis United States 17 612 244 210 99 94 39 815
P. Faverdin France 14 696 1.1× 369 1.5× 195 0.9× 113 1.1× 78 0.8× 19 901
P. Nørgaard Denmark 17 718 1.2× 329 1.3× 269 1.3× 95 1.0× 58 0.6× 57 1.0k
D. W. Kellogg United States 17 607 1.0× 230 0.9× 231 1.1× 128 1.3× 129 1.4× 74 938
S. A. Soto-Navarro United States 20 615 1.0× 265 1.1× 321 1.5× 84 0.8× 40 0.4× 63 936
J. L. Peyraud France 14 671 1.1× 281 1.2× 148 0.7× 58 0.6× 121 1.3× 41 836
C. Poncet France 20 879 1.4× 293 1.2× 212 1.0× 78 0.8× 94 1.0× 55 1.0k
J. T. Mulliniks United States 18 595 1.0× 310 1.3× 212 1.0× 89 0.9× 57 0.6× 71 803
David Lalman United States 19 840 1.4× 492 2.0× 294 1.4× 88 0.9× 82 0.9× 99 1.1k
I.M. Brookes New Zealand 15 490 0.8× 161 0.7× 144 0.7× 70 0.7× 80 0.9× 41 748
Horacio Leandro Gonda Sweden 12 663 1.1× 180 0.7× 125 0.6× 65 0.7× 67 0.7× 31 842

Countries citing papers authored by C.P. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by C.P. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.P. Mathis

This figure shows the co-authorship network connecting the top 25 collaborators of C.P. Mathis. A scholar is included among the top collaborators of C.P. Mathis 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.P. Mathis. C.P. Mathis 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.
Turner, Benjamin L., et al.. (2020). Results of Beer Game Trials Played by Natural Resource Managers Versus Students: Does Age Influence Ordering Decisions?. Systems. 8(4). 37–37. 12 indexed citations
2.
Mulliniks, J. T., et al.. (2015). Effect of late gestation bodyweight change and condition score on progeny feedlot performance. Animal Production Science. 56(12). 1998–2003. 17 indexed citations
3.
Mulliniks, J. T., et al.. (2012). Winter protein management during late gestation alters range cow and steer progeny performance1. Journal of Animal Science. 90(13). 5099–5106. 12 indexed citations
4.
Waggoner, J. W., C.A. Löest, Jason Turner, C.P. Mathis, & D. M. Hallford. (2009). Effects of dietary protein and bacterial lipopolysaccharide infusion on nitrogen metabolism and hormonal responses of growing beef steers1. Journal of Animal Science. 87(11). 3656–3668. 68 indexed citations
5.
Mathis, C.P., et al.. (2009). Pasture Preconditioning Calves at a Higher Rate of Gain Improves Feedlot Health but Not Postweaning Profit. The Professional Animal Scientist. 25(4). 475–480. 4 indexed citations
6.
Olson, K. C., et al.. (2008). Prediction of the energy content of tallgrass prairie hay1. Journal of Animal Science. 86(6). 1372–1381. 9 indexed citations
7.
Löest, C.A., et al.. (2008). Limiting amino acids for growing lambs fed a diet low in ruminally undegradable protein1. Journal of Animal Science. 86(10). 2627–2641. 30 indexed citations
8.
Mathis, C.P. & J. E. Sawyer. (2007). Nutritional Management of Grazing Beef Cows. Veterinary Clinics of North America Food Animal Practice. 23(1). 1–19. 8 indexed citations
9.
Waterman, Richard C., J. E. Sawyer, C.P. Mathis, et al.. (2006). Effects of supplements that contain increasing amounts of metabolizable protein with or without Ca-propionate salt on postpartum interval and nutrient partitioning in young beef cows1. Journal of Animal Science. 84(2). 433–446. 33 indexed citations
10.
Sawyer, J. E., et al.. (2006). Production Alternatives for Market Beef Cow Value Enhancement. The Professional Animal Scientist. 22(2). 132–138. 1 indexed citations
11.
12.
Mathis, C.P. & John E. Sawyer. (2004). NEW MEXICO FORAGE MINERAL SURVEY. 9 indexed citations
13.
Sawyer, J. E., et al.. (2003). Niche-Targeted vs Conventional Finishing Programs for Beef Steers. The Professional Animal Scientist. 19(2). 188–194. 16 indexed citations
14.
Farmer, C. G., R.C. Cochran, D.D. Simms, Jeff S Heldt, & C.P. Mathis. (2001). Impact of different wheat milling by-products in supplements on the forage use and performance of beef cattle consuming low-quality, tallgrass-prairie forage.. Journal of Animal Science. 79(9). 2472–2472. 5 indexed citations
15.
Mathis, C.P., et al.. (2001). Pregnancy rate in beef heifers after synchronization to either random or programmed estrous cycles.. Journal of Animal Science. 79(3). 561–561. 2 indexed citations
16.
Mathis, C.P., R.C. Cochran, Gerald L. Stokka, et al.. (1999). Impacts of increasing amounts of supplemental soybean meal on intake and digestion by beef steers and performance by beef cows consuming low-quality tallgrass-prairie forage.. Journal of Animal Science. 77(12). 3156–3156. 34 indexed citations
17.
Heldt, Jeff S, R.C. Cochran, Gerald L. Stokka, et al.. (1999). Effects of different supplemental sugars and starch fed in combination with degradable intake protein on low-quality forage use by beef steers.. Journal of Animal Science. 77(10). 2793–2793. 107 indexed citations
18.
Heldt, Jeff S, R.C. Cochran, C.P. Mathis, et al.. (1999). Effects of level and source of carbohydrate and level of degradable intake protein on intake and digestion of low-quality tallgrass-prairie hay by beef steers.. Journal of Animal Science. 77(10). 2846–2846. 64 indexed citations
19.
Cochran, R.C., et al.. (1998). Effects of various carbohydrate sources on the utilization of low-quality tallgrass-prairie hay in continuous culture. Kansas Agricultural Experiment Station Research Reports. 13–15. 1 indexed citations
20.
Arasteh, D., et al.. (1993). Phase 1 results of the NFRC U-Value Procedure Validation Project. University of North Texas Digital Library (University of North Texas). 2 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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