K. A. Davis

436 total citations
8 papers, 294 citations indexed

About

K. A. Davis is a scholar working on Agronomy and Crop Science, Equine and Animal Science and Zoology. According to data from OpenAlex, K. A. Davis has authored 8 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Agronomy and Crop Science, 4 papers in Equine and 3 papers in Animal Science and Zoology. Recurrent topics in K. A. Davis's work include Reproductive Physiology in Livestock (4 papers), Veterinary Equine Medical Research (4 papers) and Infant Nutrition and Health (3 papers). K. A. Davis is often cited by papers focused on Reproductive Physiology in Livestock (4 papers), Veterinary Equine Medical Research (4 papers) and Infant Nutrition and Health (3 papers). K. A. Davis collaborates with scholars based in United States and Malaysia. K. A. Davis's co-authors include G. T. Gentry, Donald L. Thompson, L. R. Gentry, R.A. Godke, John Cartmill, R.P. Del Vecchio, King Hei Stanley Lam, M Yadav, S D Puthucheary and N Iyngkaran and has published in prestigious journals such as The Journal of Pediatrics, Journal of Animal Science and Archives of Disease in Childhood.

In The Last Decade

K. A. Davis

8 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. A. Davis United States 7 166 143 90 57 36 8 294
Jérôme Leemans Belgium 14 75 0.5× 25 0.2× 31 0.3× 21 0.4× 28 0.8× 23 441
M. E. Tumbleson United States 11 154 0.9× 127 0.9× 86 1.0× 37 0.6× 59 1.6× 27 457
William J. Burkholder United States 11 63 0.4× 41 0.3× 53 0.6× 86 1.5× 184 5.1× 16 373
P.G. Gibbs United States 12 303 1.8× 253 1.8× 118 1.3× 39 0.7× 36 1.0× 27 405
Vanessa Messina Italy 12 92 0.6× 183 1.3× 122 1.4× 94 1.6× 93 2.6× 25 435
W L Cooper United States 12 301 1.8× 230 1.6× 64 0.7× 56 1.0× 65 1.8× 18 483
M. Weber France 11 54 0.3× 29 0.2× 88 1.0× 89 1.6× 177 4.9× 17 414
M. Coenen Germany 12 178 1.1× 129 0.9× 60 0.7× 36 0.6× 13 0.4× 34 310
Alessandro Troisi Italy 13 83 0.5× 122 0.9× 57 0.6× 48 0.8× 187 5.2× 42 449
G. T. Gentry United States 12 172 1.0× 233 1.6× 103 1.1× 93 1.6× 30 0.8× 34 406

Countries citing papers authored by K. A. Davis

Since Specialization
Citations

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

Fields of papers citing papers by K. A. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. A. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of K. A. Davis. A scholar is included among the top collaborators of K. A. Davis 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 K. A. Davis. K. A. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Davis, K. A., et al.. (2008). Fear Responses of Offspring from Divergent Quail Stress Response Line Hens Treated with Corticosterone During Egg Formation. Poultry Science. 87(7). 1303–1313. 26 indexed citations
2.
Gentry, L. R., et al.. (2004). The relationship between body condition score and ultrasonic fat measurements in mares of high versus low body condition. Journal of Equine Veterinary Science. 24(5). 198–203. 53 indexed citations
3.
Gentry, L. R., Donald L. Thompson, G. T. Gentry, K. A. Davis, & R.A. Godke. (2002). High versus low body condition in mares: Interactions with responses to somatotropin, GnRH analog, and dexamethasone1. Journal of Animal Science. 80(12). 3277–3285. 26 indexed citations
4.
Gentry, L. R., Donald L. Thompson, G. T. Gentry, et al.. (2002). The relationship between body condition, leptin, and reproductive and hormonal characteristics of mares during the seasonal anovulatory period. Journal of Animal Science. 80(10). 2695–2695. 108 indexed citations
5.
Gentry, L. R., Donald L. Thompson, G. T. Gentry, et al.. (2002). The relationship between body condition, leptin, and reproductive and hormonal characteristics of mares during the seasonal anovulatory period1. Journal of Animal Science. 80(10). 2695–2703. 20 indexed citations
6.
Iyngkaran, N, K. A. Davis, M. J. Robinson, et al.. (1979). Cows' milk protein-sensitive enteropathy: an important contributing cause of secondary sugar intolerance in young infants with acute infective enteritis.. Archives of Disease in Childhood. 54(1). 39–43. 22 indexed citations
7.
Iyngkaran, N, K. A. Davis, K. Prathap, et al.. (1979). Acquired carbohydrate intolerance and cow milk protein-sensitive enteropathy in young infants. The Journal of Pediatrics. 95(3). 373–378. 35 indexed citations
8.
Iyngkaran, N, M. J. Robinson, K. A. Davis, et al.. (1979). Cow's Milk Protein Sensitive Enteropathy (CMPSE): An Important Cause of Protracted Diarrhoea in Infancy. Journal of Paediatrics and Child Health. 15(4). 266–270. 4 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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