M.C. Lucy

12.4k total citations · 1 hit paper
200 papers, 9.4k citations indexed

About

M.C. Lucy is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, M.C. Lucy has authored 200 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Agronomy and Crop Science, 109 papers in Genetics and 46 papers in Animal Science and Zoology. Recurrent topics in M.C. Lucy's work include Reproductive Physiology in Livestock (160 papers), Genetic and phenotypic traits in livestock (105 papers) and Effects of Environmental Stressors on Livestock (43 papers). M.C. Lucy is often cited by papers focused on Reproductive Physiology in Livestock (160 papers), Genetic and phenotypic traits in livestock (105 papers) and Effects of Environmental Stressors on Livestock (43 papers). M.C. Lucy collaborates with scholars based in United States, New Zealand and Ireland. M.C. Lucy's co-authors include W.W. Thatcher, D. H. Keisler, C.R. Staples, M. F. Smith, Rodolfo Luzbel de la Sota, R.J. Collier, S.E. Poock, W. R. Lamberson, Yasuhiro Kobayashi and Honglin Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

M.C. Lucy

194 papers receiving 8.9k citations

Hit Papers

Reproductive Loss in High... 2001 2026 2009 2017 2001 250 500 750 1000
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.

  1. Reproductive Loss in High-Producing Dairy Cattle: Where Will It End?
    2001 1.1k citations M.C. Lucy Journal of Dairy Science profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M.C. Lucy 7.3k 5.4k 2.2k 1.7k 1.2k 200 9.4k
M.A. Crowe 4.1k 0.6× 3.0k 0.5× 1.7k 0.8× 1.3k 0.8× 271 0.2× 161 6.0k
J. F. Roche 5.8k 0.8× 4.0k 0.7× 1.2k 0.6× 2.3k 1.3× 376 0.3× 152 7.0k
M.G. Diskin 4.9k 0.7× 3.6k 0.7× 1.1k 0.5× 1.7k 1.0× 285 0.2× 142 6.3k
J.E.P. Santos 12.8k 1.8× 8.4k 1.5× 3.3k 1.5× 2.3k 1.4× 249 0.2× 341 14.8k
Milo C. Wiltbank 15.2k 2.1× 12.1k 2.2× 3.2k 1.5× 5.2k 3.0× 388 0.3× 299 17.1k
W.W. Thatcher 4.7k 0.6× 2.7k 0.5× 1.8k 0.8× 1.2k 0.7× 196 0.2× 91 6.1k
R. Webb 5.9k 0.8× 3.8k 0.7× 840 0.4× 5.4k 3.2× 987 0.8× 157 10.0k
G.E. Mann 4.3k 0.6× 2.7k 0.5× 573 0.3× 1.8k 1.0× 298 0.2× 130 5.5k
W.W. Thatcher 17.4k 2.4× 11.3k 2.1× 5.1k 2.4× 4.1k 2.4× 584 0.5× 348 20.8k
J.H. Britt 3.4k 0.5× 2.3k 0.4× 1.4k 0.6× 977 0.6× 227 0.2× 142 5.1k

Countries citing papers authored by M.C. Lucy

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Lucy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Lucy. 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 M.C. Lucy. The network helps show where M.C. Lucy may publish in the future.

Co-authorship network of co-authors of M.C. Lucy

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Lucy. A scholar is included among the top collaborators of M.C. Lucy 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 M.C. Lucy. M.C. Lucy 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.
Moraes, J.G.N., et al.. (2025). Impact of metritis and systemic antibiotic treatment on the biology and morphology of the bovine uterus at one month postpartum. Biology of Reproduction. 113(5). 1132–1154. 2 indexed citations
2.
Poock, S.E., et al.. (2024). Adenomyosis and fibrosis define the morphological memory of the postpartum uterus of dairy cows previously exposed to metritis. SHILAP Revista de lepidopterología. 6(2). 250–255. 2 indexed citations
3.
Poock, S.E., et al.. (2020). Estimates of intra- and interclass correlation coefficients for rump touches and the number of steps during estrus in postpartum cows. Journal of Dairy Science. 104(2). 2318–2333. 2 indexed citations
4.
Moore, S.G., et al.. (2020). Ovarian function and the establishment and maintenance of pregnancy in dairy cows with and without evidence of postpartum uterine disease. Journal of Dairy Science. 103(11). 10715–10727. 12 indexed citations
5.
6.
Herlihy, M., Niamh Forde, Constantine A. Simintiras, et al.. (2018). The effect of exogenous glucose infusion on early embryonic development in lactating dairy cows. Journal of Dairy Science. 101(12). 11285–11296. 20 indexed citations
7.
Moore, S.G., Aaron C. Ericsson, S.E. Poock, Pedro Meléndez, & M.C. Lucy. (2017). Hot topic: 16S rRNA gene sequencing reveals the microbiome of the virgin and pregnant bovine uterus. Journal of Dairy Science. 100(6). 4953–4960. 104 indexed citations
8.
McNamara, J.P. & M.C. Lucy. (2017). Journal of Dairy Science Volume 100 Special Issue: Introduction. Journal of Dairy Science. 100(12). 9892–9893. 1 indexed citations
9.
Lucy, M.C. & J.P. McNamara. (2017). Journal of Dairy Science Volume 100 Special Issue: Summary. Journal of Dairy Science. 100(12). 10445–10446. 1 indexed citations
10.
11.
White, Heather M., Shawn S. Donkin, M.C. Lucy, T Grala, & J.R. Roche. (2011). Short communication: Genetic differences between New Zealand and North American dairy cows alter milk production and gluconeogenic enzyme expression. Journal of Dairy Science. 95(1). 455–459. 12 indexed citations
12.
Grala, T, et al.. (2010). Somatotropic axis and concentrate supplementation in grazing dairy cows of genetically diverse origin. Journal of Dairy Science. 94(1). 303–315. 34 indexed citations
13.
14.
Volkmann, D.H., et al.. (2009). Technical note: A rapid enzyme-linked immunosorbent assay blood test for pregnancy in dairy and beef cattle. Journal of Dairy Science. 92(8). 3819–3824. 38 indexed citations
15.
16.
Chagas, L.M., J. J. Bass, Dominique Blache, et al.. (2007). Invited Review: New Perspectives on the Roles of Nutrition and Metabolic Priorities in the Subfertility of High-Producing Dairy Cows. Journal of Dairy Science. 90(9). 4022–4032. 259 indexed citations
17.
Lucy, M.C.. (2005). Fertility traits in New Zealand versus North American Holsteins.. 17. 311–318. 3 indexed citations
18.
Lucy, M.C.. (2005). Second Insemination Breeding Strategies for Dairy Cows. 17. 149–157. 1 indexed citations
19.
Rhoads, M.L., R.O. Gilbert, M.C. Lucy, & W.R. Butler. (2004). Effects of Urea Infusion on the Uterine Luminal Environment of Dairy Cows. Journal of Dairy Science. 87(9). 2896–2901. 40 indexed citations
20.
Radcliff, R.P., et al.. (2003). Growth Hormone (GH) Binding and Expression of GH Receptor 1A mRNA in Hepatic Tissue of Periparturient Dairy Cows. Journal of Dairy Science. 86(12). 3933–3940. 43 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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