J. Clay

2.7k total citations
56 papers, 1.6k citations indexed

About

J. Clay is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, J. Clay has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 36 papers in Agronomy and Crop Science and 16 papers in Animal Science and Zoology. Recurrent topics in J. Clay's work include Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (27 papers) and Effects of Environmental Stressors on Livestock (16 papers). J. Clay is often cited by papers focused on Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (27 papers) and Effects of Environmental Stressors on Livestock (16 papers). J. Clay collaborates with scholars based in United States, Netherlands and Brazil. J. Clay's co-authors include C.D. Dechow, G.W. Rogers, K.A. Weigel, R.D. Welper, N.R. Zwald, Yu‐Mei Chang, Christian Maltecca, John B. Cole, Kristen L. Parker Gaddis and B.J. Bradford and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Genetics Selection Evolution.

In The Last Decade

J. Clay

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Clay United States 21 1.1k 1.1k 445 193 81 56 1.6k
M.D. Royal United Kingdom 14 1.4k 1.2× 1.5k 1.4× 419 0.9× 187 1.0× 23 0.3× 32 1.8k
Inge Riis Korsgaard Denmark 16 860 0.7× 542 0.5× 287 0.6× 209 1.1× 211 2.6× 32 1.2k
T. S. Stewart United States 17 394 0.3× 300 0.3× 282 0.6× 141 0.7× 65 0.8× 47 750
E.C.L. Bleach United Kingdom 16 407 0.4× 510 0.5× 220 0.5× 238 1.2× 46 0.6× 42 852
Vijay Paul India 19 376 0.3× 405 0.4× 184 0.4× 81 0.4× 206 2.5× 56 1.0k
Catherine Disenhaus France 14 487 0.4× 543 0.5× 221 0.5× 83 0.4× 21 0.3× 36 729
D.J. Null United States 26 1.7k 1.5× 758 0.7× 435 1.0× 68 0.4× 325 4.0× 52 2.1k
José Domingos Guimarães Brazil 15 475 0.4× 486 0.4× 132 0.3× 73 0.4× 38 0.5× 139 906
S.T. Butler Ireland 32 1.9k 1.7× 2.5k 2.2× 545 1.2× 222 1.2× 63 0.8× 120 3.0k
Jerry Guenther United States 27 1.9k 1.6× 2.2k 2.0× 583 1.3× 206 1.1× 32 0.4× 38 2.5k

Countries citing papers authored by J. Clay

Since Specialization
Citations

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

Fields of papers citing papers by J. Clay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Clay

This figure shows the co-authorship network connecting the top 25 collaborators of J. Clay. A scholar is included among the top collaborators of J. Clay 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 J. Clay. J. Clay 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.
Peñagaricano, Francisco, et al.. (2023). Characterization of semen type prevalence and allocation in Holstein and Jersey females in the United States. Journal of Dairy Science. 106(5). 3748–3760. 12 indexed citations
2.
Galvão, Klibs N., et al.. (2021). Associations between dry period length and time to culling and pregnancy in the subsequent lactation. Journal of Dairy Science. 104(8). 8885–8900. 4 indexed citations
3.
Swartz, T.H., B.J. Bradford, & J. Clay. (2021). Intergenerational cycle of disease: Maternal mastitis is associated with poorer daughter performance in dairy cattle. Journal of Dairy Science. 104(4). 4537–4548. 10 indexed citations
4.
Marcondes, Marcos Inácio, et al.. (2020). Piecewise modeling of the associations between dry period length and milk, fat, and protein yield changes in the subsequent lactation. Journal of Dairy Science. 104(1). 486–500. 3 indexed citations
5.
Ferreira, Fernanda C., J. Clay, & Albert De Vries. (2020). Distribution of seasonality of calving patterns and milk production in dairy herds across the United States. Journal of Dairy Science. 103(9). 8161–8173. 11 indexed citations
6.
Tooker, M.E., et al.. (2018). Development of national genomic evaluations for health traits in U.S. Holsteins. Proceedings of the World Congress on Genetics Applied to Livestock Production. 594. 1 indexed citations
7.
Tiezzi, Francesco, et al.. (2015). Short communication: Genomic selection for hoof lesions in first-parity US Holsteins. Journal of Dairy Science. 98(5). 3502–3507. 10 indexed citations
8.
9.
10.
Gaddis, Kristen L. Parker, John B. Cole, J. Clay, & Christian Maltecca. (2014). Genomic selection for producer-recorded health event data in US dairy cattle. Journal of Dairy Science. 97(5). 3190–3199. 113 indexed citations
11.
Vallimont, J.E., C.D. Dechow, C.G. Sattler, & J. Clay. (2009). Heritability estimates associated with alternative definitions of mastitis and correlations with somatic cell score and yield. Journal of Dairy Science. 92(7). 3402–3410. 30 indexed citations
12.
Huang, Chi-Shuan, S. Tsuruta, J. K. Bertrand, et al.. (2009). Trends for conception rate of Holsteins over time in the southeastern United States. Journal of Dairy Science. 92(9). 4641–4647. 21 indexed citations
13.
Huang, Chi-Shuan, S. Tsuruta, J. K. Bertrand, et al.. (2008). Environmental Effects on Conception Rates of Holsteins in New York and Georgia. Journal of Dairy Science. 91(2). 818–825. 34 indexed citations
14.
Miller, R.H., H.D. Norman, M.T. Kuhn, J. Clay, & J.L. Hutchison. (2007). Voluntary Waiting Period and Adoption of Synchronized Breeding in Dairy Herd Improvement Herds. Journal of Dairy Science. 90(3). 1594–1606. 38 indexed citations
15.
Zwald, N.R., K.A. Weigel, Yu‐Mei Chang, R.D. Welper, & J. Clay. (2006). Genetic Analysis of Clinical Mastitis Data from On-Farm Management Software Using Threshold Models. Journal of Dairy Science. 89(1). 330–336. 55 indexed citations
16.
Zwald, N.R., et al.. (2004). Potential for genetic evaluation of health and fertility traits using data collected in on-farm herd management software programs. Bulletin - International Bull Evaluation Service/Interbull bulletin. 90. 1 indexed citations
17.
Zwald, N.R., K.A. Weigel, Yu‐Mei Chang, R.D. Welper, & J. Clay. (2004). Genetic Selection for Health Traits Using Producer-Recorded Data. II. Genetic Correlations, Disease Probabilities, and Relationships with Existing Traits. Journal of Dairy Science. 87(12). 4295–4302. 91 indexed citations
18.
Dechow, C.D., G.W. Rogers, & J. Clay. (2002). Heritability and Correlations Among Body Condition Score Loss, Body Condition Score, Production and Reproductive Performance. Journal of Dairy Science. 85(11). 3062–3070. 109 indexed citations
19.
Shook, G.E., et al.. (2002). Effect of data quality on genetic parameters for days to first insemination in dairy cattle.. 1–4. 2 indexed citations
20.
Clay, J.. (1989). Men at Midlife. 1 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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Rankless by CCL
2026