Bryan W Neville

2.1k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Bryan W Neville is a scholar working on Agronomy and Crop Science, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Bryan W Neville has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Agronomy and Crop Science, 16 papers in Genetics and 15 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Bryan W Neville's work include Reproductive Physiology in Livestock (29 papers), Ruminant Nutrition and Digestive Physiology (25 papers) and Birth, Development, and Health (14 papers). Bryan W Neville is often cited by papers focused on Reproductive Physiology in Livestock (29 papers), Ruminant Nutrition and Digestive Physiology (25 papers) and Birth, Development, and Health (14 papers). Bryan W Neville collaborates with scholars based in United States, Canada and China. Bryan W Neville's co-authors include Terry A. Day, Carl R Dahlen, Lawrence P. Reynolds, Kyle J McLean, Matthew S Crouse, Alison K Ward, J. S. Caton, Joel S Caton, G. P. Lardy and Pawel P. Borowicz and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Dairy Science.

In The Last Decade

Bryan W Neville

62 papers receiving 1.5k citations

Hit Papers

Oral Cancer and Precancerous Lesions 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan W Neville United States 14 444 380 376 296 224 66 1.5k
Winnie Chan United States 22 27 0.1× 19 0.1× 385 1.0× 52 0.2× 254 1.1× 50 1.3k
Mara Roxana Rubinstein Argentina 10 352 0.8× 45 0.1× 1.6k 4.3× 2 0.0× 710 3.2× 14 2.4k
Chia‐Huei Lee Taiwan 19 61 0.1× 35 0.1× 548 1.5× 3 0.0× 306 1.4× 34 1.2k
Xiaosong Liu China 19 13 0.0× 28 0.1× 279 0.7× 15 0.1× 142 0.6× 58 1.1k
Lichieh Julie Chu Taiwan 19 57 0.1× 54 0.1× 570 1.5× 8 0.0× 60 0.3× 51 915
Ting Huang China 21 34 0.1× 51 0.1× 627 1.7× 4 0.0× 179 0.8× 86 1.2k
Shirin Farjadian Iran 22 32 0.1× 6 0.0× 261 0.7× 23 0.1× 109 0.5× 108 1.4k
Jessica Liu United States 24 416 0.9× 32 0.1× 450 1.2× 157 0.7× 48 2.1k
Vancheswaran Gopalakrishnan United States 14 47 0.1× 30 0.1× 1.6k 4.3× 4 0.0× 1.1k 4.9× 30 2.6k

Countries citing papers authored by Bryan W Neville

Since Specialization
Citations

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

Fields of papers citing papers by Bryan W Neville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan W Neville. 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 Bryan W Neville. The network helps show where Bryan W Neville may publish in the future.

Co-authorship network of co-authors of Bryan W Neville

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan W Neville. A scholar is included among the top collaborators of Bryan W Neville 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 Bryan W Neville. Bryan W Neville 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.
Lindholm‐Perry, Amanda K., Andrew P Foote, H. C. Freetly, et al.. (2025). The Association Between Hematological Profiles and Whole-Blood Transcriptome Genes Identified Using Quantitative Analysis with Average Daily Gain and Feed Efficiency in Forage-Fed Beef Heifers. International Journal of Molecular Sciences. 26(10). 4633–4633.
2.
Crouse, Matthew S, Robert A. Cushman, Bryan W Neville, et al.. (2024). International Symposium on Ruminant Physiology: One-carbon metabolism in beef cattle throughout the production cycle. Journal of Dairy Science. 108(7). 7615–7630. 8 indexed citations
3.
Summers, Katie Lynn, William T. Oliver, James E. Wells, et al.. (2024). Weaning transition, but not the administration of probiotic candidate Kazachstania slooffiae, shaped the gastrointestinal bacterial and fungal communities in nursery piglets. Frontiers in Veterinary Science. 10. 1303984–1303984. 1 indexed citations
6.
Cushman, Robert A., Alexandria P Snider, H. C. Freetly, et al.. (2023). PSII-12 Influence of Dietary Methionine and Guanidinoacetic Acid on Estrous Cycles and Early Pregnancy in Beef Heifers. Journal of Animal Science. 101(Supplement_3). 580–581. 1 indexed citations
7.
Crouse, Matthew S, Joel S Caton, Alison K Ward, et al.. (2023). 242 Methionine and Guanidinoacetic Acid Supplementation During the Periconceptual Period of Gestation Shifts Methionine Metabolism of Fetal Bull Calves at D 63 of Gestation. Journal of Animal Science. 101(Supplement_3). 172–173. 1 indexed citations
8.
Neville, Bryan W, Michael D. Kleinhenz, Géraldine Magnin, et al.. (2022). Rapid quantification of cannabinoids in beef tissues and bodily fluids using direct-delivery electrospray ionization mass spectrometry. Food Additives & Contaminants Part A. 39(10). 1705–1717. 10 indexed citations
9.
Holman, Devin B., David J. Smith, Bryan W Neville, et al.. (2022). 346 Feeding Hempseed Cake Alters the Bovine gut, Respiratory and Reproductive Microbiota. Journal of Animal Science. 100(Supplement_3). 168–169. 1 indexed citations
11.
Caton, Joel S, James D Kirsch, Sheri T. Dorsam, et al.. (2021). Effects of feeding bulls dried corn distiller’s grains plus solubles or CaSO4 on mineral and metabolite concentrations in serum and seminal plasma. Animal Reproduction Science. 226. 106703–106703. 3 indexed citations
12.
Caton, Joel S, James D Kirsch, Sheri T. Dorsam, et al.. (2020). Effects of feeding 60% dried corn distillers grains plus solubles or the equivalent sulfur as CaSO4 on performance and reproductive traits of yearling Angus bulls. Theriogenology. 162. 6–14. 2 indexed citations
13.
Caton, Joel S, Matthew S Crouse, Lawrence P. Reynolds, et al.. (2020). 406 Maternal nutrition during early gestation: Impacts on developmental outcomes. Journal of Animal Science. 98(Supplement_4). 201–202. 1 indexed citations
14.
Crouse, Matthew S, Kyle J McLean, Alison K Ward, et al.. (2019). Maternal nutrition and stage of early pregnancy in beef heifers: impacts on hexose and AA concentrations in maternal and fetal fluids1. Journal of Animal Science. 97(3). 1296–1316. 44 indexed citations
15.
Kirsch, J. D., M. L. Bauer, Kendall C Swanson, et al.. (2017). Using corn supplementation for overwintered beef cows during mid- to late-gestation: Uterine hemodynamics, placental vascularity, and neonatal performance. Translational Animal Science. 1. 54–58. 1 indexed citations
16.
Lardy, G. P., Bryan W Neville, Megan L Van Emon, et al.. (2011). Growth and Carcass Characteristics of Conventionally Raised Lambs Versus Naturally Raised Lambs 1. 26. 1–7. 2 indexed citations
20.
Neville, Bryan W & Terry A. Day. (2002). Oral Cancer and Precancerous Lesions. CA A Cancer Journal for Clinicians. 52(4). 195–215. 1021 indexed citations breakdown →

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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