Milton Thomas

2.0k total citations
92 papers, 1.2k citations indexed

About

Milton Thomas is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Milton Thomas has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Agronomy and Crop Science, 43 papers in Genetics and 27 papers in Animal Science and Zoology. Recurrent topics in Milton Thomas's work include Genetic and phenotypic traits in livestock (39 papers), Reproductive Physiology in Livestock (30 papers) and Effects of Environmental Stressors on Livestock (20 papers). Milton Thomas is often cited by papers focused on Genetic and phenotypic traits in livestock (39 papers), Reproductive Physiology in Livestock (30 papers) and Effects of Environmental Stressors on Livestock (20 papers). Milton Thomas collaborates with scholars based in United States, Mexico and Australia. Milton Thomas's co-authors include Radhey S. Kaushik, Feng Li, Chithra Sreenivasan, Dan Wang, Joy Scaria, R. M. Enns, Scott E Speidel, Marina R. S. Fortes, Sudeep Ghimire and Jerry L. Holechek and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Milton Thomas

88 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milton Thomas United States 18 429 416 209 192 183 92 1.2k
Masroor Ellahi Babar Pakistan 16 182 0.4× 577 1.4× 107 0.5× 285 1.5× 165 0.9× 117 1.2k
Mark McGee Ireland 21 559 1.3× 373 0.9× 54 0.3× 166 0.9× 449 2.5× 64 1.2k
Songjia Lai China 19 181 0.4× 336 0.8× 78 0.4× 408 2.1× 329 1.8× 120 1.2k
Poorani Subramanian United States 12 175 0.4× 644 1.5× 102 0.5× 646 3.4× 69 0.4× 26 1.6k
Marco Antônio Machado Brazil 26 474 1.1× 1.0k 2.4× 57 0.3× 281 1.5× 232 1.3× 127 1.8k
Ikhide G. Imumorin United States 20 215 0.5× 669 1.6× 85 0.4× 253 1.3× 277 1.5× 63 1.2k
Filippo Biscarini Italy 25 379 0.9× 871 2.1× 40 0.2× 435 2.3× 344 1.9× 106 1.8k
Shiro Kushibiki Japan 21 673 1.6× 263 0.6× 79 0.4× 193 1.0× 330 1.8× 83 1.2k
Daoliang Lan China 20 178 0.4× 329 0.8× 93 0.4× 299 1.6× 378 2.1× 77 1.1k
M. Quinton Canada 22 306 0.7× 560 1.3× 75 0.4× 112 0.6× 652 3.6× 54 1.6k

Countries citing papers authored by Milton Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Milton Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milton Thomas. 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 Milton Thomas. The network helps show where Milton Thomas may publish in the future.

Co-authorship network of co-authors of Milton Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Milton Thomas. A scholar is included among the top collaborators of Milton Thomas 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 Milton Thomas. Milton Thomas 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
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Johnson, B. J., R. J. Rathmann, Christy L. Bratcher, et al.. (2024). Identification of blood-based biomarkers for detection of liver abscesses in beef × dairy heifers*. Applied Animal Science. 40(3). 386–397. 1 indexed citations
3.
Bishop, Jeanette V., et al.. (2024). Identification of candidate SNPs associated with embryo mortality and fertility traits in lactating Holstein cows. Frontiers in Genetics. 15. 1409335–1409335.
4.
Obeidat, Belal S. & Milton Thomas. (2024). Growth Performance, Blood Metabolites and Carcass Characteristics of Black Goat Kids Fed Diets Containing Olive Cake. Animals. 14(2). 272–272. 8 indexed citations
5.
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Obeidat, Belal S. & Milton Thomas. (2023). Assessing the influence of feeding olive leaves on the productivity and economic viability of growing Awassi lambs. Cogent Food & Agriculture. 9(2). 5 indexed citations
7.
Peters, Sunday O., et al.. (2023). Genomic Prediction Accuracies for Growth and Carcass Traits in a Brangus Heifer Population. Animals. 13(7). 1272–1272. 2 indexed citations
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Correa‐Calderón, Abelardo, Leonel Avendaño‐Reyes, Ulises Macías‐Cruz, et al.. (2022). Mineral supplementation (injectable) improved reproductive performance in Holstein cows managed in a warm summer environment. Reproduction in Domestic Animals. 57(8). 839–848. 4 indexed citations
10.
Peters, Sunday O., et al.. (2020). Genomic Prediction With Different Heritability, QTL, and SNP Panel Scenarios Using Artificial Neural Network. IEEE Access. 8. 147995–148006. 4 indexed citations
11.
Okda, Faten A., Linto Antony, Milton Thomas, et al.. (2020). Characterization of bovine ileal epithelial cell line for lectin binding, susceptibility to enteric pathogens, and TLR mediated immune responses. Comparative Immunology Microbiology and Infectious Diseases. 74. 101581–101581. 7 indexed citations
12.
Sreenivasan, Chithra, Milton Thomas, Linto Antony, et al.. (2019). Development and characterization of swine primary respiratory epithelial cells and their susceptibility to infection by four influenza virus types. Virology. 528. 152–163. 20 indexed citations
13.
DeAtley, K. L., Michelle L. Colgrave, Ángela Cánovas, et al.. (2018). Neuropeptidome of the Hypothalamus and Pituitary Gland of Indicine × Taurine Heifers: Evidence of Differential Neuropeptide Processing in the Pituitary Gland before and after Puberty. Journal of Proteome Research. 17(5). 1852–1865. 15 indexed citations
14.
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Wang, Zhao, Bing Huang, Milton Thomas, et al.. (2018). Detailed mapping of the linear B Cell epitopes of the hemagglutinin (HA) protein of swine influenza virus. Virology. 522. 131–137. 8 indexed citations
16.
Fortes, Marina R. S., Loan Nguyen, Laércio R. Porto-Neto, et al.. (2016). Polymorphisms and genes associated with puberty in heifers. Theriogenology. 86(1). 333–339. 14 indexed citations
17.
Peters, Sunday O., Kadir Kızılkaya, Dorian J. Garrick, et al.. (2014). Genome-wide Association Study of First Service Conception Rate in Brangus Heifers using Probit, Robit and Logit models. Proceedings of the World Congress on Genetics Applied to Livestock Production. 643. 1 indexed citations
18.
Cánovas, Ángela, Antônio Reverter, K. L. DeAtley, et al.. (2014). Multi-Tissue Omics Analyses Reveal Molecular Regulatory Networks for Puberty in Composite Beef Cattle. PLoS ONE. 9(7). e102551–e102551. 108 indexed citations
19.
Molinar, Francisco, Jerry L. Holechek, Dee Galt, & Milton Thomas. (2002). Soil depth effects on Chihuahuan Desert vegetation. Western North American Naturalist. 62(3). 5. 7 indexed citations
20.
Holechek, Jerry L., Milton Thomas, Francisco Molinar, & Dee Galt. (1999). Stocking Desert Rangelands: What We've Learned. UA Campus Repository (The University of Arizona). 21(6). 8–12. 42 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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