C. K. Boyd

479 total citations
11 papers, 405 citations indexed

About

C. K. Boyd is a scholar working on Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science and Genetics. According to data from OpenAlex, C. K. Boyd has authored 11 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Agronomy and Crop Science and 3 papers in Genetics. Recurrent topics in C. K. Boyd's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Reproductive Physiology in Livestock (5 papers) and Genetic and phenotypic traits in livestock (3 papers). C. K. Boyd is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Reproductive Physiology in Livestock (5 papers) and Genetic and phenotypic traits in livestock (3 papers). C. K. Boyd collaborates with scholars based in United States. C. K. Boyd's co-authors include M.C. Lucy, Christina Bracken, Yasuhiro Kobayashi, D. H. Keisler, W. R. Lamberson, Carol S. Okamura, R.J. Collier, Honglin Jiang, H. Shibuya and William O. Herring and has published in prestigious journals such as Endocrinology, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

C. K. Boyd

11 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. K. Boyd United States 9 235 212 167 75 58 11 405
Y. R. Boisclair United States 9 393 1.7× 67 0.3× 313 1.9× 44 0.6× 185 3.2× 14 667
R.M. Akers United States 15 562 2.4× 139 0.7× 377 2.3× 99 1.3× 204 3.5× 27 761
D. R. Hagen United States 12 176 0.7× 128 0.6× 162 1.0× 72 1.0× 65 1.1× 35 576
K. R. Stevenson United Kingdom 13 392 1.7× 204 1.0× 145 0.9× 34 0.5× 12 0.2× 13 636
Wolf‐Dieter Kraetzl Germany 9 168 0.7× 26 0.1× 62 0.4× 66 0.9× 63 1.1× 17 296
Elodia María Rivas Alpízar United States 6 357 1.5× 158 0.7× 138 0.8× 20 0.3× 27 0.5× 10 490
T.M. Sullivan Australia 13 289 1.2× 44 0.2× 122 0.7× 44 0.6× 54 0.9× 14 466
G.C. Micke Australia 13 289 1.2× 44 0.2× 122 0.7× 44 0.6× 54 0.9× 14 466
Pablo U. Díaz Argentina 13 300 1.3× 44 0.2× 131 0.8× 20 0.3× 49 0.8× 27 452
M.R. Blanc France 11 224 1.0× 44 0.2× 125 0.7× 25 0.3× 70 1.2× 30 410

Countries citing papers authored by C. K. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by C. K. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. K. Boyd

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

All Works

11 of 11 papers shown
1.
Lucy, M. C., et al.. (2020). Ovarian folliCular growth in sows*. Bioscientifica Proceedings. 1 indexed citations
2.
Lucy, M. C., et al.. (2019). Role of growth hormone in development and maintenance of follicles and corpora lutea. Bioscientifica Proceedings. 1 indexed citations
3.
Kobayashi, Yasuhiro, et al.. (2002). Reduced Insulin-Like Growth Factor-I after Acute Feed Restriction in Lactating Dairy Cows is Independent of Changes in Growth Hormone Receptor 1A mRNA. Journal of Dairy Science. 85(4). 748–754. 24 indexed citations
4.
Lucy, M.C., et al.. (2001). Ovarian follicular growth in sows.. PubMed. 58. 31–45. 94 indexed citations
5.
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
6.
Boyd, C. K., Yasuhiro Kobayashi, C. C. Chase, et al.. (1999). A novel phenotype for Laron dwarfism in miniature Bos indicus cattle suggests that the expression of growth hormone receptor 1A in liver is required for normal growth☆. Domestic Animal Endocrinology. 17(4). 421–437. 26 indexed citations
8.
Lucy, M.C., et al.. (1998). Expression of Somatotropin Receptor Messenger Ribonucleic Acid in Bovine Tissues. Journal of Dairy Science. 81(7). 1889–1895. 54 indexed citations
9.
Lucy, M.C., Gary S. Johnson, H. Shibuya, C. K. Boyd, & William O. Herring. (1998). Rapid communication: polymorphic (GT)n microsatellite in the bovine somatotropin receptor gene promoter.. Journal of Animal Science. 76(8). 2209–2209. 30 indexed citations
10.
Collier, R.J., et al.. (1996). Expression of alternate growth hormone receptor messenger rna in ovary and uterus of cattle. Domestic Animal Endocrinology. 13(5). 421–430. 26 indexed citations
11.
Lucy, M.C., et al.. (1995). Rapid communication: nucleotide sequence of the promoter and first exon of the somatotropin receptor gene in cattle. Journal of Animal Science. 73(5). 1529–1529. 21 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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