Larry A. Cogburn

3.6k total citations
77 papers, 2.7k citations indexed

About

Larry A. Cogburn is a scholar working on Genetics, Animal Science and Zoology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Larry A. Cogburn has authored 77 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 25 papers in Animal Science and Zoology and 23 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Larry A. Cogburn's work include Animal Nutrition and Physiology (25 papers), Growth Hormone and Insulin-like Growth Factors (20 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Larry A. Cogburn is often cited by papers focused on Animal Nutrition and Physiology (25 papers), Growth Hormone and Insulin-like Growth Factors (20 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Larry A. Cogburn collaborates with scholars based in United States, France and Morocco. Larry A. Cogburn's co-authors include Joan Burnside, Jean Simon, Michel Jacques M.J. Duclos, Tom E. Porter, Wilfrid Carré, Shuenn Liou, Samuel E. Aggrey, Xiaofei Wang, Sunita Agarwal and Élisabeth Le Bihan-Duval and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Larry A. Cogburn

77 papers receiving 2.6k citations

Peers

Larry A. Cogburn
Tom E. Porter United States
Jean Simon France
H. A. Tucker United States
A. L. Johnson United States
Y. Obara Japan
F. Hertelendy United States
Richard G. Vernon United Kingdom
Tom E. Porter United States
Larry A. Cogburn
Citations per year, relative to Larry A. Cogburn Larry A. Cogburn (= 1×) peers Tom E. Porter

Countries citing papers authored by Larry A. Cogburn

Since Specialization
Citations

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

Fields of papers citing papers by Larry A. Cogburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry A. Cogburn. 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 Larry A. Cogburn. The network helps show where Larry A. Cogburn may publish in the future.

Co-authorship network of co-authors of Larry A. Cogburn

This figure shows the co-authorship network connecting the top 25 collaborators of Larry A. Cogburn. A scholar is included among the top collaborators of Larry A. Cogburn 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 Larry A. Cogburn. Larry A. Cogburn 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.
Cogburn, Larry A., Nares Trakooljul, Xiaofei Wang, Laura E. Ellestad, & Tom E. Porter. (2020). Transcriptome analyses of liver in newly-hatched chicks during the metabolic perturbation of fasting and re-feeding reveals THRSPA as the key lipogenic transcription factor. BMC Genomics. 21(1). 109–109. 19 indexed citations
3.
Prokop, Jeremy W., R. Joel Duff, Amy Milsted, et al.. (2014). Discovery of the Elusive Leptin in Birds: Identification of Several ‘Missing Links’ in the Evolution of Leptin and Its Receptor. PLoS ONE. 9(3). e92751–e92751. 53 indexed citations
4.
Demeure, Olivier, Michel Jacques M.J. Duclos, Guillaume Le Mignon, et al.. (2013). Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines. Genetics Selection Evolution. 45(1). 36–36. 38 indexed citations
5.
Higgins, Stacy, Laura E. Ellestad, Nares Trakooljul, et al.. (2010). Transcriptional and pathway analysis in the hypothalamus of newly hatched chicks during fasting and delayed feeding. BMC Genomics. 11(1). 162–162. 56 indexed citations
6.
Jonchère, Vincent, Sophie Réhault‐Godbert, Christelle Hennequet‐Antier, et al.. (2010). Gene expression profiling to identify eggshell proteins involved in physical defense of the chicken egg. BMC Genomics. 11(1). 57–57. 101 indexed citations
7.
Ankra-Badu, Georgina A., Daniel Shriner, Élisabeth Le Bihan-Duval, et al.. (2010). Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate. BMC Genomics. 11(1). 107–107. 39 indexed citations
8.
Carré, Wilfrid, et al.. (2007). Manipulation of thyroid status and/or GH injection alters hepatic gene expression in the juvenile chicken. Cytogenetic and Genome Research. 117(1-4). 174–188. 22 indexed citations
9.
Nadaf, Javad, Hélène Gilbert, Frédérique Pitel, et al.. (2007). Identification of QTL controlling meat quality traits in an F2 cross between two chicken lines selected for either low or high growth rate. BMC Genomics. 8(1). 155–155. 45 indexed citations
10.
Cogburn, Larry A., Tom E. Porter, Michel Jacques M.J. Duclos, et al.. (2007). Functional Genomics of the Chicken—A Model Organism. Poultry Science. 86(10). 2059–2094. 87 indexed citations
11.
Abasht, Behnam, Frédérique Pitel, Sandrine Lagarrigue, et al.. (2006). Fatness QTL on chicken chromosome 5 and interaction with sex. Genetics Selection Evolution. 38(3). 297–311. 29 indexed citations
12.
Lagarrigue, Sandrine, Frédérique Pitel, Wilfrid Carré, et al.. (2006). Mapping quantitative trait loci affecting fatness and breast muscle weight in meat-type chicken lines divergently selected on abdominal fatness. Genetics Selection Evolution. 38(1). 85–97. 56 indexed citations
13.
Wang, Xiaofei, Wilfrid Carré, Huaijun Zhou, Susan J. Lamont, & Larry A. Cogburn. (2004). Duplicated Spot 14 genes in the chicken: characterization and identification of polymorphisms associated with abdominal fat traits. Gene. 332. 79–88. 47 indexed citations
14.
15.
Harvey, S. & Larry A. Cogburn. (1996). Cryptic peptides of prepro-TRH antagonize TRH-induced GH secretion in chickens at extrapituitary sites. Journal of Endocrinology. 151(3). 359–364. 6 indexed citations
16.
Cogburn, Larry A., et al.. (1995). Chronic intravenous infusion of chicken growth hormone increases body fat content of young broiler chickens. Comparative Biochemistry and Physiology Part A Physiology. 110(1). 47–56. 25 indexed citations
17.
Agarwal, Sunita, Larry A. Cogburn, & Joan Burnside. (1995). Comparison of Gene Expression in Normal and Growth Hormone Receptor-Deficient Dwarf Chickens Reveals a Novel Growth Hormone-Regulated Gene. Biochemical and Biophysical Research Communications. 206(1). 153–160. 27 indexed citations
18.
Burnside, Joan, Shuenn Liou, & Larry A. Cogburn. (1991). Molecular Cloning of the Chicken Growth Hormone Receptor Complementary Deoxyribonucleic Acid: Mutation of the Gene in Sex-Linked Dwarf Chickens*. Endocrinology. 128(6). 3183–3192. 104 indexed citations
19.
Cogburn, Larry A., et al.. (1989). Growth, Metabolic and Endocrine Responses of Broiler Cockerels Given a Daily Subcutaneous Injection of Natural or Biosynthetic Chicken Growth Hormone. Journal of Nutrition. 119(8). 1213–1222. 47 indexed citations
20.
Cogburn, Larry A., et al.. (1989). Dietary Thyrotropin-Releasing Hormone Stimulates Growth Rate and Increases the Insulin: Glucagon Molar Ratio of Broiler Chickens. Experimental Biology and Medicine. 192(2). 127–134. 25 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

Rankless by CCL
2026