C.J. Mortensen

540 total citations
21 papers, 377 citations indexed

About

C.J. Mortensen is a scholar working on Equine, Agronomy and Crop Science and Cell Biology. According to data from OpenAlex, C.J. Mortensen has authored 21 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Equine, 10 papers in Agronomy and Crop Science and 7 papers in Cell Biology. Recurrent topics in C.J. Mortensen's work include Veterinary Equine Medical Research (12 papers), Reproductive Physiology in Livestock (10 papers) and Muscle metabolism and nutrition (7 papers). C.J. Mortensen is often cited by papers focused on Veterinary Equine Medical Research (12 papers), Reproductive Physiology in Livestock (10 papers) and Muscle metabolism and nutrition (7 papers). C.J. Mortensen collaborates with scholars based in United States, Brazil and France. C.J. Mortensen's co-authors include L.K. Warren, Kyle B. Dobbs, J. Block, Anna C. Denicol, Ky G Pohler, Peter J. Hansen, M. S. Ortega, Nancy H. Ing, K. Hinrichs and M.M. Vogelsang and has published in prestigious journals such as The FASEB Journal, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

C.J. Mortensen

19 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C.J. Mortensen United States	11	140	131	103	79	74	21	377
Timothy G. Rozell United States	11	115 0.8×	202 1.5×	19 0.2×	113 1.4×	3 0.0×	16	463
F.D. Jousan United States	12	232 1.7×	231 1.8×	2 0.0×	111 1.4×	28 0.4×	22	487
A. G. Wheeler United Kingdom	12	106 0.8×	284 2.2×	5 0.0×	36 0.5×	7 0.1×	25	451
Marta de Ruijter‐Villani Netherlands	14	218 1.6×	248 1.9×		80 1.0×	146 2.0×	39	434
T. A. E. Stout Netherlands	9	144 1.0×	171 1.3×		36 0.5×	127 1.7×	21	323
F.L.V. Pinaffi United States	11	123 0.9×	205 1.6×		96 1.2×	27 0.4×	23	372
Luciana Rocha Faustino Brazil	17	651 4.7×	171 1.3×	7 0.1×	167 2.1×	4 0.1×	47	734
Marcelo Tigre Moura Brazil	10	136 1.0×	76 0.6×		140 1.8×	16 0.2×	62	324
W. J. McGuire United States	9	89 0.6×	238 1.8×		30 0.4×	20 0.3×	11	334
R.P. Del Vecchio United States	15	104 0.7×	407 3.1×		52 0.7×	83 1.1×	26	521

Countries citing papers authored by C.J. Mortensen

Since Specialization

Citations

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

Fields of papers citing papers by C.J. Mortensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.J. Mortensen

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

All Works

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20 of 20 papers shown

Galvão, Klibs N., et al.. (2017). Using Doppler ultrasonography on day 34 of pregnancy to predict pregnancy loss in lactating dairy cattle. Journal of Dairy Science. 100(4). 3266–3271. 15 indexed citations

Warren, L.K., et al.. (2015). l-Arginine supplementation 0.5% of diet during the last 90 days of gestation and 14 days postpartum reduced uterine fluid accumulation in the broodmare. Animal Reproduction Science. 159. 46–51. 12 indexed citations

Mortensen, C.J., et al.. (2015). The flipped classroom stimulates greater learning and is a modern 21st century approach to teaching today's undergraduates. Journal of Animal Science. 93(7). 3722–3731. 111 indexed citations

Mortensen, C.J., et al.. (2015). 158 Teaching to the masses: Experiences in offering an equine-oriented massive open online course. Journal of Equine Veterinary Science. 35(5). 451–451. 1 indexed citations

Denicol, Anna C., J. Block, Ky G Pohler, et al.. (2014). The WNT signaling antagonist Dickkopf‐1 directs lineage commitment and promotes survival of the preimplantation embryo. The FASEB Journal. 28(9). 3975–3986. 99 indexed citations

Warren, L.K., et al.. (2014). Orally supplemented l-arginine impairs amino acid absorption depending on dose in horses1. Journal of Animal Science. 92(12). 5560–5566. 6 indexed citations

Warren, L.K., et al.. (2013). Oral l-arginine supplementation impacts several reproductive parameters during the postpartum period in mares. Animal Reproduction Science. 138(3-4). 233–240. 15 indexed citations

Warren, L.K., et al.. (2013). Maternal supplementation of docosahexaenoic acid and its effect on fatty acid transfer to the foal. Journal of Equine Veterinary Science. 33(5). 336–336. 2 indexed citations

Warren, L.K., et al.. (2013). Effect of oral L-arginine supplementation on uterine blood flow and fluid clearance in mares during estrus. Journal of Equine Veterinary Science. 33(5). 373–374. 1 indexed citations

10.

LeBlanc, Michelle M., et al.. (2013). Influence of l-arginine supplementation on reproductive blood flow and embryo recovery rates in mares. Theriogenology. 81(5). 752–757. 10 indexed citations

11.

Smith, Rachael L., et al.. (2012). Impact of moderate exercise on ovarian blood flow and early embryonic outcomes in mares1. Journal of Animal Science. 90(11). 3770–3777. 12 indexed citations

12.

Gibbons, J.R., et al.. (2011). Exercise affects both ovarian follicular dynamics and hormone concentrations in mares. Theriogenology. 76(4). 615–622. 14 indexed citations

13.

Warren, L.K., et al.. (2011). Arginine Supplementation in Mares Does Not Augment Passive Transfer of Immunity to Foals. Journal of Equine Veterinary Science. 31(5-6). 326–327. 1 indexed citations

14.

Warren, L.K., et al.. (2011). L-Arginine supplementation reduces uterine fluid accumulation post foaling in the mare. Journal of Equine Veterinary Science. 31(5-6). 315–316. 1 indexed citations

15.

Mortensen, C.J., Young Hae Choi, Nancy H. Ing, et al.. (2010). Heat shock protein 70 gene expression in equine blastocysts after exposure of oocytes to high temperatures in vitro or in vivo after exercise of donor mares. Theriogenology. 74(3). 374–383. 27 indexed citations

16.

Mortensen, C.J.. (2009). Effects of exercise or oocyte heat shock on embryo development and gene expression in the horse. OakTrust (Texas A&M University Libraries).

17.

Gibbons, J.R., et al.. (2009). Exercise lengthens the interovulatory interval in mares. Journal of Equine Veterinary Science. 29(5). 337–338. 2 indexed citations

18.

Mortensen, C.J., Y.H. Choi, K. Hinrichs, et al.. (2008). Embryo recovery from exercised mares. Animal Reproduction Science. 110(3-4). 237–244. 30 indexed citations

19.

Gibbons, J.R., et al.. (2008). 173 THE EFFECT OF EXERCISE ON FOLLICULOGENESIS IN MARES. Reproduction Fertility and Development. 21(1). 185–186. 1 indexed citations

20.

Pereira, Carlos Alberto de Bragança, et al.. (2001). Optimized Insect Cell Culture for the Production of Recombinant Heterologous Proteins and Baculovirus Particles. BioTechniques. 31(6). 1262–1268. 14 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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