C.N. Coon

3.8k total citations · 1 hit paper
153 papers, 2.9k citations indexed

About

C.N. Coon is a scholar working on Animal Science and Zoology, Molecular Biology and Aquatic Science. According to data from OpenAlex, C.N. Coon has authored 153 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Animal Science and Zoology, 25 papers in Molecular Biology and 18 papers in Aquatic Science. Recurrent topics in C.N. Coon's work include Animal Nutrition and Physiology (109 papers), Meat and Animal Product Quality (36 papers) and Livestock and Poultry Management (33 papers). C.N. Coon is often cited by papers focused on Animal Nutrition and Physiology (109 papers), Meat and Animal Product Quality (36 papers) and Livestock and Poultry Management (33 papers). C.N. Coon collaborates with scholars based in United States, China and Germany. C.N. Coon's co-authors include C.M. Owens, V.A. Kuttappan, John P. McMurtry, THIM K. CHENG, R.D. Ekmay, J.A. England, Mark P. Richards, R.W. Rosebrough, M.K. Manangi and C.Z. Alvarado and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Nutrition and Journal of Dairy Science.

In The Last Decade

C.N. Coon

146 papers receiving 2.7k citations

Hit Papers

Meat quality of broiler breast fillets with white stripin... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Meat quality of broiler breast fillets with white striping and woody breast muscle myopathies
    2016 253 citations V.A. Kuttappan, C.N. Coon et al. Poultry Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.N. Coon United States 28 2.4k 480 391 347 273 153 2.9k
Marcos Macari Brazil 29 2.0k 0.9× 281 0.6× 309 0.8× 247 0.7× 276 1.0× 142 2.5k
Adele Meluzzi Italy 32 2.0k 0.8× 329 0.7× 278 0.7× 259 0.7× 301 1.1× 82 2.5k
M.S. Lilburn United States 28 1.9k 0.8× 352 0.7× 267 0.7× 320 0.9× 270 1.0× 99 2.3k
T. D. Bidner United States 34 2.4k 1.0× 341 0.7× 398 1.0× 301 0.9× 422 1.5× 106 3.3k
E. Esteve‐García Spain 30 2.2k 0.9× 441 0.9× 483 1.2× 334 1.0× 135 0.5× 77 2.7k
D.R. Korver Canada 33 2.8k 1.2× 342 0.7× 550 1.4× 535 1.5× 410 1.5× 90 3.5k
A. Corzo United States 36 2.8k 1.2× 1.0k 2.1× 492 1.3× 218 0.6× 177 0.6× 103 3.1k
Alex Maiorka Brazil 26 1.7k 0.7× 330 0.7× 526 1.3× 208 0.6× 213 0.8× 172 2.2k
Gonzalo González Mateos Spain 34 3.0k 1.3× 402 0.8× 701 1.8× 188 0.5× 495 1.8× 100 3.4k
Pierre‐André Geraert France 30 1.8k 0.8× 407 0.8× 393 1.0× 351 1.0× 148 0.5× 76 2.8k

Countries citing papers authored by C.N. Coon

Since Specialization
Citations

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

Fields of papers citing papers by C.N. Coon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.N. Coon

This figure shows the co-authorship network connecting the top 25 collaborators of C.N. Coon. A scholar is included among the top collaborators of C.N. Coon 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.N. Coon. C.N. Coon 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.
Martínez, Diego, et al.. (2025). Arkansas Net Energy: A productive energy system sensitive to broiler performance and body composition. Poultry Science. 104(10). 105545–105545. 1 indexed citations
2.
3.
4.
Magnuson, Andrew D., et al.. (2024). The relationship between phosphorus retention and fibroblast growth factor 23 in broiler breeders. Poultry Science. 103(8). 103889–103889. 1 indexed citations
5.
6.
Martínez, Diego, et al.. (2022). The Relationship between Performance, Body Composition, and Processing Yield in Broilers: A Systematic Review and Meta-Regression. Animals. 12(19). 2706–2706. 10 indexed citations
7.
Hilton, Katie, et al.. (2021). Effects of dietary energy levels on Pectoralis major mixed muscle protein turnover and body composition in two broiler lines housed in different grow‐out environments. Journal of Animal Physiology and Animal Nutrition. 105(3). 535–548. 5 indexed citations
8.
Weil, Jordan, et al.. (2021). The effect of feeding adequate or deficient vitamin B6 or folic acid to breeders on methionine metabolism in 18-day-old chick embryos. Poultry Science. 100(4). 101008–101008. 2 indexed citations
9.
Hilton, Katie, J. Caldas, Jordan Weil, et al.. (2020). Effect of digestible amino acids to energy ratios on performance and yield of two broiler lines housed in different grow-out environmental temperatures. Poultry Science. 99(12). 6884–6898. 20 indexed citations
10.
Hilton, Katie, et al.. (2019). Ark NE1 calculations for ingredients in broiler diets. 463–465. 3 indexed citations
11.
12.
Kuttappan, V.A., C.M. Owens, C.N. Coon, B.M. Hargis, & M. Vázquez-Añón. (2017). Incidence of broiler breast myopathies at 2 different ages and its impact on selected raw meat quality parameters. Poultry Science. 96(8). 3005–3009. 120 indexed citations
13.
Coon, C.N., et al.. (2017). Utilisation of supplementedl-carnitine for fuel efficiency, as an antioxidant, and for muscle recovery in Labrador retrievers. Journal of Nutritional Science. 6. e8–e8. 17 indexed citations
14.
Ekmay, R.D., et al.. (2016). Mechanisms of lipid mobilization towards egg formation in broiler breeder hens using stable isotopes. Poultry Science. 96(2). 383–387. 11 indexed citations
15.
Kuttappan, V.A., G.R. Huff, W.E. Huff, et al.. (2013). Comparison of hematologic and serologic profiles of broiler birds with normal and severe degrees of white striping in breast fillets. Poultry Science. 92(2). 339–345. 89 indexed citations
16.
England, J.A., et al.. (2012). Dual Energy X-Ray Absorptiometry Analysis of Broiler Breeder Eggs for Prediction of Egg Components and Evaluation of Egg Shell Quality. International Journal of Poultry Science. 11(5). 316–325. 5 indexed citations
17.
Ekmay, R.D., et al.. (2010). Energy requirement of broiler breeder hens with different body weights.. 635–636. 6 indexed citations
18.
Manangi, M.K. & C.N. Coon. (2008). Phytate Phosphorus Hydrolysis in Broilers in Response to Dietary Phytase, Calcium, and Phosphorus Concentrations. Poultry Science. 87(8). 1577–1586. 47 indexed citations
19.
Coon, C.N., et al.. (2004). Measurement of the Rate of Protein Synthesis in Chickens by HPLC / MS. Korean Journal of Poultry Science. 31(3). 137–143.
20.
Balling, Rudi & C.N. Coon. (1981). Effect of Dietary Asparagine and Protein-Equivalents in Crystalline Amino Acid Diets on Asparagine Metabolism in Chicks. Journal of Nutrition. 111(10). 1749–1756. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Marcos Macari Breakdown of academic impact, for papers by Adele Meluzzi Breakdown of academic impact, for papers by M.S. Lilburn Breakdown of academic impact, for papers by T. D. Bidner Breakdown of academic impact, for papers by E. Esteve‐García Breakdown of academic impact, for papers by D.R. Korver Breakdown of academic impact, for papers by A. Corzo Breakdown of academic impact, for papers by Alex Maiorka Breakdown of academic impact, for papers by Gonzalo González Mateos Breakdown of academic impact, for papers by Pierre‐André Geraert
Rankless by CCL
2026