M. C. Lucy

1.3k total citations
32 papers, 974 citations indexed

About

M. C. Lucy is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, M. C. Lucy has authored 32 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Agronomy and Crop Science, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Genetics. Recurrent topics in M. C. Lucy's work include Reproductive Physiology in Livestock (18 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Genetic and phenotypic traits in livestock (7 papers). M. C. Lucy is often cited by papers focused on Reproductive Physiology in Livestock (18 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Genetic and phenotypic traits in livestock (7 papers). M. C. Lucy collaborates with scholars based in United States, United Kingdom and Ireland. M. C. Lucy's co-authors include R.P. Radcliff, W.R. Butler, D.E. Bauman, Marianne Diaz, M.E. Van Amburgh, Julia M. Smith, A. C. Hammond, T. A. Olson, C. C. Chase and H.H. Head and has published in prestigious journals such as Endocrinology, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

M. C. Lucy

32 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. C. Lucy United States 12 715 441 270 241 149 32 974
R.P. Radcliff United States 14 603 0.8× 398 0.9× 281 1.0× 177 0.7× 53 0.4× 23 918
J. G. Manns Canada 20 913 1.3× 500 1.1× 214 0.8× 229 1.0× 201 1.3× 57 1.2k
J.J. Veenhuizen United States 18 1.0k 1.4× 533 1.2× 368 1.4× 309 1.3× 57 0.4× 35 1.4k
Y.S. Weems United States 18 949 1.3× 421 1.0× 81 0.3× 55 0.2× 149 1.0× 48 1.1k
W. D. Oxender United States 21 717 1.0× 371 0.8× 173 0.6× 209 0.9× 159 1.1× 52 1.0k
R.M. Akers United States 15 562 0.8× 377 0.9× 139 0.5× 204 0.8× 52 0.3× 27 761
V.E.A. Perry Australia 22 591 0.8× 337 0.8× 63 0.2× 139 0.6× 199 1.3× 50 1.0k
T.A.M. Kruip Netherlands 10 703 1.0× 530 1.2× 35 0.1× 199 0.8× 356 2.4× 11 1.1k
Marion Schmicke Germany 14 317 0.4× 174 0.4× 60 0.2× 150 0.6× 61 0.4× 74 688
Gary Douglas United States 9 714 1.0× 385 0.9× 32 0.1× 167 0.7× 47 0.3× 12 941

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.
McDonald, Kimberly S., et al.. (2025). Short- and long-term effects of uterine disease on oocyte developmental capacity in postpartum dairy cows. Theriogenology. 240. 117413–117413. 2 indexed citations
2.
Meléndez, Pedro, Fred Williams, P.J. Pinedo, et al.. (2018). Technical note: Evaluation of fine needle aspiration cytology for the diagnosis of fatty liver in dairy cattle. Journal of Dairy Science. 101(5). 4483–4490. 7 indexed citations
3.
Spiers, Donald E., J.N. Spain, Mark R. Ellersieck, & M. C. Lucy. (2018). Strategic application of convective cooling to maximize the thermal gradient and reduce heat stress response in dairy cows. Journal of Dairy Science. 101(9). 8269–8283. 28 indexed citations
4.
Herlihy, M., et al.. (2016). 1049 The effect of exogenous glucose infusion on early embryonic development in lactating dairy cows. Journal of Animal Science. 94(suppl_5). 502–503. 1 indexed citations
5.
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7.
Bracken, Christina, et al.. (2007). Two days of pulsatile GnRH infusion beginning 4 days before weaning in sows initiates a wave of follicular growth that is not sustained after weaning. Animal Reproduction Science. 102(1-2). 158–164. 2 indexed citations
8.
Bracken, Christina, et al.. (2006). Ovarian follicular development, estrus, and ovulation in seasonally anestrous sows treated seven days post weaning with equine and human chorionic gonadotropins. Journal of Swine Health and Production. 14(4). 207–209. 2 indexed citations
9.
Lucy, M. C.. (2004). New tools for managing reproduction. Science Access. 1(1). 363–372. 1 indexed citations
10.
Swanson, Kelly S., et al.. (2003). Effect of photoperiod on hepatic growth hormone receptor 1A expression in steer calves1. Journal of Animal Science. 81(6). 1440–1446. 19 indexed citations
11.
Radcliff, R.P., et al.. (2003). Insulin restores GH responsiveness during lactation-induced negative energy balance in dairy cattle: effects on expression of IGF-I and GH receptor 1A. Journal of Endocrinology. 176(2). 205–217. 239 indexed citations
12.
Smith, Julia M., M.E. Van Amburgh, Marianne Diaz, M. C. Lucy, & D.E. Bauman. (2002). Effect of nutrient intake on the development of the somatotropic axis and its responsiveness to GH in Holstein bull calves1. Journal of Animal Science. 80(6). 1528–1537. 83 indexed citations
13.
Carroll, J. A., et al.. (2000). Expression of two variants of growth hormone receptor messenger ribonucleic acid in porcine liver.. Journal of Animal Science. 78(2). 306–306. 8 indexed citations
14.
Jiang, Honglin, et al.. (2000). Identification of Sp1 as the transcription factor for the alternative promoter P2 of the bovine growth hormone receptor gene. Journal of Molecular Endocrinology. 24(2). 203–214. 22 indexed citations
15.
Lamb, G. C., et al.. (1999). Suckling Reinitiated Milk Secretion in Beef Cows After an Early Postpartum Hiatus of Milking or Suckling. Journal of Dairy Science. 82(7). 1489–1496. 9 indexed citations
16.
Chase, C. C., et al.. (1998). Patterns of ovarian growth and development in cattle with a growth hormone receptor deficiency.. Journal of Animal Science. 76(1). 212–212. 64 indexed citations
17.
Yuan, Wei & M. C. Lucy. (1996). Effects of growth hormone, prolactin, insulin-like growth factors, and gonadotropins on progesterone secretion by porcine luteal cells.. Journal of Animal Science. 74(4). 866–866. 15 indexed citations
18.
Lucy, M. C., et al.. (1992). Follicular dynamics, plasma metabolites, hormones and insulin-like growth factor I (IGF-I) in lactating cows with positive or negative energy balance during the preovulatory period. annales de biologie animale biochimie biophysique. 32(4). 331–341. 59 indexed citations
19.
Petters, Robert M., E. J. Eisen, Daniel Pomp, & M. C. Lucy. (1988). Cytoplasmic Effects on Selection Response for Increased Growth Rate in Mice. Journal of Animal Science. 66(2). 287–287. 9 indexed citations
20.
Petters, Robert M. & M. C. Lucy. (1987). Rhodamine 123 as a cytoplasmic stain for mammalian zygotes. Theriogenology. 28(5). 639–646. 4 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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