S. L. Lake

1.4k total citations
53 papers, 1.1k citations indexed

About

S. L. Lake is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, S. L. Lake has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Agronomy and Crop Science, 22 papers in Genetics and 17 papers in Animal Science and Zoology. Recurrent topics in S. L. Lake's work include Ruminant Nutrition and Digestive Physiology (29 papers), Reproductive Physiology in Livestock (29 papers) and Genetic and phenotypic traits in livestock (22 papers). S. L. Lake is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (29 papers), Reproductive Physiology in Livestock (29 papers) and Genetic and phenotypic traits in livestock (22 papers). S. L. Lake collaborates with scholars based in United States, Poland and Brazil. S. L. Lake's co-authors include B. W. Hess, E. J. Scholljegerdes, G. E. Moss, T. R. Weston, Patrick J. Gunn, R. P. Lemenager, V. Nayigihugu, Scott Amman, N.C. Otto and D. C. Rule and has published in prestigious journals such as Journal of Animal Science, Poultry Science and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

S. L. Lake

52 papers receiving 1.0k citations

Peers

S. L. Lake
Ashish Chopra India
Stanley E. Curtis United States
Jennifer Brown Canada
K.A. Cummins United States
Erica K. Gee New Zealand
M. Valera Spain
Christine Duvaux-Ponter France
Jan Hultgren Sweden
M.S. Cockram United Kingdom
V.E. Beattie United Kingdom
Ashish Chopra India
S. L. Lake
Citations per year, relative to S. L. Lake S. L. Lake (= 1×) peers Ashish Chopra

Countries citing papers authored by S. L. Lake

Since Specialization
Citations

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

Fields of papers citing papers by S. L. Lake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. L. Lake. 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 S. L. Lake. The network helps show where S. L. Lake may publish in the future.

Co-authorship network of co-authors of S. L. Lake

This figure shows the co-authorship network connecting the top 25 collaborators of S. L. Lake. A scholar is included among the top collaborators of S. L. Lake 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 S. L. Lake. S. L. Lake 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.
Geary, T. W., et al.. (2021). Effect of supplemental trace minerals on standard and novel measures of bull fertility. Theriogenology. 172. 307–314. 7 indexed citations
2.
Brauner, Cássio Cassal, et al.. (2021). Effects of bacterial DFM and tannins on measures of immunity and growth performance of newly weaned beef calves. Livestock Science. 250. 104571–104571. 4 indexed citations
3.
Fontes, Pedro L P, R.V. Oliveira Filho, Carl R Dahlen, et al.. (2021). Pre-synchronization of ovulation timing and delayed fixed-time artificial insemination increases pregnancy rates when sex-sorted semen is used for insemination of heifers. Animal Reproduction Science. 226. 106699–106699. 7 indexed citations
4.
Purdy, Phillip H., et al.. (2020). Critical factors for non-surgical artificial insemination in sheep. Small Ruminant Research. 191. 106179–106179. 12 indexed citations
5.
Bridges, G. A., et al.. (2016). Influence of post-insemination nutrition on embryonic development in beef heifers. Theriogenology. 90. 185–190. 22 indexed citations
6.
Lemenager, R. P., et al.. (2013). Effects of continuous and step-up ractopamine hydrochloride supplementation protocols on feeding performance and carcass characteristics of finishing steers. The Professional Animal Scientist. 29(2). 141–146. 1 indexed citations
7.
Walker, P.M., et al.. (2012). Effect of low-fat corn distillers grains fed at 40 and 70% inclusion on growth performance and meat quality of steers. The Professional Animal Scientist. 28(1). 41–55. 5 indexed citations
8.
Horn, Murray J., Megan L Van Emon, Patrick J. Gunn, et al.. (2010). Effects of maternal natural (RRR α-tocopherol acetate) or synthetic (all-rac α-tocopherol acetate) vitamin E supplementation on suckling calf performance, colostrum immunoglobulin G, and immune function. Journal of Animal Science. 88(9). 3128–3135. 11 indexed citations
9.
Horn, Murray J., Patrick J. Gunn, Megan L Van Emon, et al.. (2010). Effects of natural (RRR α-tocopherol acetate) or synthetic (all-rac α-tocopherol acetate) vitamin E supplementation on reproductive efficiency in beef cows. Journal of Animal Science. 88(9). 3121–3127. 9 indexed citations
10.
Moriel, Philipe, B. W. Hess, S. L. Lake, et al.. (2010). Growth and Reproductive Performance of Beef Heifers Fed Carnival or Forager Field Peas. The Professional Animal Scientist. 26(2). 188–192. 1 indexed citations
11.
Scholljegerdes, E. J., B. W. Hess, Mark Grant, et al.. (2009). Effects of feeding high-linoleate safflower seeds on postpartum reproduction in beef cows1,2. Journal of Animal Science. 87(9). 2985–2995. 5 indexed citations
12.
13.
Lake, S. L., et al.. (2007). Body condition score and day of lactation affect lipogenic mRNA abundance and transcription factors in adipose tissue of beef cows fed supplemental fat. Poultry Science. 86. 121–121. 5 indexed citations
14.
Scholljegerdes, E. J., S. L. Lake, T. R. Weston, et al.. (2007). Fatty acid composition of plasma, medial basal hypothalamus, and uterine tissue in primiparous beef cows fed high-linoleate safflower seeds1. Journal of Animal Science. 85(6). 1555–1564. 26 indexed citations
15.
Lake, S. L., T. R. Weston, E. J. Scholljegerdes, et al.. (2007). Effects of postpartum dietary fat and body condition score at parturition on plasma, adipose tissue, and milk fatty acid composition of lactating beef cows1. Journal of Animal Science. 85(3). 717–730. 38 indexed citations
16.
Lake, S. L., E. J. Scholljegerdes, V. Nayigihugu, et al.. (2006). Effects of body condition score at parturition and postpartum supplemental fat on adipose tissue lipogenic activity of lactating beef cows1. Journal of Animal Science. 84(2). 397–404. 13 indexed citations
17.
Lake, S. L., E. J. Scholljegerdes, Elizabeth Belden, et al.. (2006). Immune response and serum immunoglobulin G concentrations in beef calves suckling cows of differing body condition score at parturition and supplemented with high-linoleate or high-oleate safflower seeds1. Journal of Animal Science. 84(4). 997–1003. 14 indexed citations
18.
19.
Lake, S. L., E. J. Scholljegerdes, D. M. Hallford, et al.. (2006). Effects of body condition score at parturition and postpartum supplemental fat on metabolite and hormone concentrations of beef cows and their suckling calves1. Journal of Animal Science. 84(4). 1038–1047. 31 indexed citations
20.
Lake, S. L., E. J. Scholljegerdes, V. Nayigihugu, et al.. (2005). Body condition score at parturition and postpartum supplemental fat effects on cow and calf performance1. Journal of Animal Science. 83(12). 2908–2917. 66 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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