W.J. Weber

1.4k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

W.J. Weber is a scholar working on Agronomy and Crop Science, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, W.J. Weber has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 13 papers in Genetics and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in W.J. Weber's work include Reproductive Physiology in Livestock (15 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). W.J. Weber is often cited by papers focused on Reproductive Physiology in Livestock (15 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). W.J. Weber collaborates with scholars based in United States and China. W.J. Weber's co-authors include B.A. Crooker, Robert P. Rhoads, L.H. Baumgard, R.J. Collier, S.R. Sanders, M.J. VanBaale, M.L. Rhoads, M. Carriquiry, H. Chester-Jones and L.H. Baumgard and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Journal of Proteome Research.

In The Last Decade

W.J. Weber

27 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Effects of heat stress and plane of nutrition on lactating Holstein cows: I. Production, metabolism, and aspects of circulating somatotropin

2009 539 citations M.L. Rhoads, Robert P. Rhoads et al. Journal of Dairy Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W.J. Weber United States	13	625	516	285	197	161	27	1.1k
A.G. Ríus United States	20	396 0.6×	644 1.2×	381 1.3×	94 0.5×	106 0.7×	39	1.0k
S.J. Mabjeesh Israel	22	408 0.7×	760 1.5×	384 1.3×	97 0.5×	144 0.9×	66	1.3k
M. Derno Germany	20	378 0.6×	537 1.0×	223 0.8×	171 0.9×	160 1.0×	59	1.0k
B.C. do Amaral United States	10	604 1.0×	597 1.2×	210 0.7×	101 0.5×	170 1.1×	19	892
Jean-Paul Laforest Canada	22	578 0.9×	319 0.6×	277 1.0×	59 0.3×	474 2.9×	63	1.4k
Leonel Avendaño‐Reyes Mexico	20	1.0k 1.7×	467 0.9×	315 1.1×	142 0.7×	338 2.1×	133	1.4k
Ulises Macías‐Cruz Mexico	20	819 1.3×	482 0.9×	343 1.2×	136 0.7×	297 1.8×	151	1.3k
Dustin T Yates United States	21	701 1.1×	188 0.4×	113 0.4×	348 1.8×	93 0.6×	84	1.5k
M.V. Sanz-Fernandez United States	27	1.3k 2.0×	798 1.5×	305 1.1×	339 1.7×	546 3.4×	55	2.1k
S. Kuhla Germany	21	346 0.6×	595 1.2×	279 1.0×	116 0.6×	181 1.1×	46	1.2k

Countries citing papers authored by W.J. Weber

Since Specialization

Citations

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

Fields of papers citing papers by W.J. Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W.J. Weber

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Weber, W.J., John D. Lippolis, John B. Cole, et al.. (2023). Effect of Holstein genotype on ex-vivo interleukin-1β response to lipopolysaccharide (LPS), lipoteichoic acid (LTA) and heat-killed Gram-negative and Gram-positive bacteria. Veterinary Immunology and Immunopathology. 258. 110573–110573. 3 indexed citations

Lippolis, John D., et al.. (2022). Effect of Holstein genotype on immune response to an intramammary Escherichia coli challenge. Journal of Dairy Science. 105(6). 5435–5448. 5 indexed citations

Guo, Yue, W.J. Weber, Dan Yao, et al.. (2021). Forming 4-Methylcatechol as the Dominant Bioavailable Metabolite of Intraruminal Rutin Inhibits p-Cresol Production in Dairy Cows. Metabolites. 12(1). 16–16. 10 indexed citations

Caixeta, L.S., et al.. (2020). Effects of anionic supplement source in prepartum negative dietary cation-anion difference diets on serum calcium, feed intake, and lactational performance of multiparous dairy cows. Journal of Dairy Science. 103(5). 4302–4314. 9 indexed citations

Weber, W.J., S. Kahl, G. A. Bridges, et al.. (2019). Effect of bovine genotype on innate immune response of heifers to repeated lipopolysaccharide (LPS) administration. Veterinary Immunology and Immunopathology. 215. 109914–109914. 6 indexed citations

Weber, W.J., S. Kahl, Brad Heins, et al.. (2019). Effect of Holstein genotype on innate immune and metabolic responses of heifers to lipopolysaccharide (LPS) administration. Domestic Animal Endocrinology. 70. 106374–106374. 8 indexed citations

Weber, W.J., et al.. (2017). Hepatic mRNA expression for genes related to somatotropic axis, glucose and lipid metabolisms, and inflammatory response of periparturient dairy cows treated with recombinant bovine somatotropin. Journal of Dairy Science. 100(5). 3983–3999. 10 indexed citations

Kamanga‐Sollo, E., Margaret White, M.R. Hathaway, W.J. Weber, & W.R. Dayton. (2010). Effect of Estradiol-17β on protein synthesis and degradation rates in fused bovine satellite cell cultures. Domestic Animal Endocrinology. 39(1). 54–62. 43 indexed citations

Kamanga‐Sollo, E., Margaret White, M.R. Hathaway, W.J. Weber, & W.R. Dayton. (2010). Effect of trenbolone acetate on protein synthesis and degradation rates in fused bovine satellite cell cultures. Domestic Animal Endocrinology. 40(1). 60–66. 22 indexed citations

10.

Carriquiry, M., W.J. Weber, Carl R Dahlen, et al.. (2009). Production response of multiparous Holstein cows treated with bovine somatotropin and fed diets enriched with n-3 or n-6 fatty acids. Journal of Dairy Science. 92(10). 4852–4864. 13 indexed citations

11.

Carriquiry, M., W.J. Weber, Carl R Dahlen, et al.. (2009). Fatty acid composition of milk from multiparous Holstein cows treated with bovine somatotropin and fed n-3 fatty acids in early lactation. Journal of Dairy Science. 92(10). 4865–4875. 10 indexed citations

12.

Carriquiry, M., W.J. Weber, Scott C. Fahrenkrug, & B.A. Crooker. (2009). Hepatic gene expression in multiparous Holstein cows treated with bovine somatotropin and fed n-3 fatty acids in early lactation. Journal of Dairy Science. 92(10). 4889–4900. 64 indexed citations

13.

Rhoads, M.L., Robert P. Rhoads, M.J. VanBaale, et al.. (2009). Effects of heat stress and plane of nutrition on lactating Holstein cows: I. Production, metabolism, and aspects of circulating somatotropin. Journal of Dairy Science. 92(5). 1986–1997. 539 indexed citations breakdown →

14.

Carriquiry, M., Carl R Dahlen, W.J. Weber, G. C. Lamb, & B.A. Crooker. (2009). Postpartum ovarian activity in multiparous Holstein cows treated with bovine somatotropin and fed n-3 fatty acids in early lactation. Journal of Dairy Science. 92(10). 4876–4888. 10 indexed citations

15.

Pampusch, Mary S., Margaret White, M.R. Hathaway, et al.. (2008). Effects of implants of trenbolone acetate, estradiol, or both, on muscle insulin-like growth factor-I, insulin-like growth factor-I receptor, estrogen receptor-α, and androgen receptor messenger ribonucleic acid levels in feedlot steers1. Journal of Animal Science. 86(12). 3418–3423. 39 indexed citations

16.

Carriquiry, M., W.J. Weber, & B.A. Crooker. (2008). Administration of Bovine Somatotropin in Early Lactation: A Meta-Analysis of Production Responses by Multiparous Holstein Cows. Journal of Dairy Science. 91(7). 2641–2652. 12 indexed citations

17.

Carriquiry, M., W.J. Weber, L.H. Baumgard, & B.A. Crooker. (2007). In vitro biohydrogenation of four dietary fats. Animal Feed Science and Technology. 141(3-4). 339–355. 25 indexed citations

18.

Weber, W.J., L.H. Baumgard, G.W. Kazmer, et al.. (2005). Growth Hormone Response to Growth Hormone Releasing Hormone in Calves that Differ in Genetic Merit for Milk Yield. Journal of Dairy Science. 88(5). 1723–1731. 7 indexed citations

19.

Kay, J.K., W.J. Weber, C.E. Moore, et al.. (2005). Effects of Week of Lactation and Genetic Selection for Milk Yield on Milk Fatty Acid Composition in Holstein Cows. Journal of Dairy Science. 88(11). 3886–3893. 120 indexed citations

20.

Block, Stephanie S., Robert P. Rhoads, D.E. Bauman, et al.. (2003). Demonstration of a Role for Insulin in the Regulation of Leptin in Lactating Dairy Cows. Journal of Dairy Science. 86(11). 3508–3515. 52 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