M.C. Wiltbank

1.7k total citations
18 papers, 1.3k citations indexed

About

M.C. Wiltbank is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, M.C. Wiltbank has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 11 papers in Genetics and 4 papers in Animal Science and Zoology. Recurrent topics in M.C. Wiltbank's work include Reproductive Physiology in Livestock (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). M.C. Wiltbank is often cited by papers focused on Reproductive Physiology in Livestock (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). M.C. Wiltbank collaborates with scholars based in United States, Switzerland and India. M.C. Wiltbank's co-authors include J.R. Pursley, J.S. Ottobre, Lloyd L. Anderson, Jeffrey S. Stevenson, H.A. Garverick, Roberto Sartori, Jerry Guenther, J.J. Parrish, Shaw‐Jenq Tsai and Karin J. Bodensteiner and has published in prestigious journals such as Endocrinology, Annual Review of Physiology and Journal of Dairy Science.

In The Last Decade

M.C. Wiltbank

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.C. Wiltbank United States	12	1.1k	822	348	261	118	18	1.3k
R.C. Mattos Brazil	11	1.5k 1.4×	1.0k 1.2×	332 1.0×	258 1.0×	180 1.5×	28	1.7k
A.P. Beard United Kingdom	22	1000 0.9×	669 0.8×	494 1.4×	277 1.1×	57 0.5×	42	1.3k
J. G. Manns Canada	20	913 0.9×	500 0.6×	201 0.6×	229 0.9×	55 0.5×	57	1.2k
Aydın Güzeloğlu Türkiye	19	790 0.7×	395 0.5×	191 0.5×	132 0.5×	353 3.0×	48	1.0k
T.A.M. Kruip Netherlands	10	703 0.7×	530 0.6×	356 1.0×	199 0.8×	42 0.4×	11	1.1k
J. N. S. Sales Brazil	22	1.2k 1.1×	989 1.2×	561 1.6×	362 1.4×	49 0.4×	78	1.4k
Bernardo Garziera Gasperin Brazil	18	454 0.4×	251 0.3×	422 1.2×	127 0.5×	166 1.4×	108	991
F. N. Kojima United States	23	1.3k 1.3×	1.1k 1.3×	463 1.3×	334 1.3×	73 0.6×	47	1.6k
M. A. Diekman United States	12	525 0.5×	205 0.2×	132 0.4×	112 0.4×	109 0.9×	24	759
Chiho KAWASHIMA Japan	17	679 0.6×	357 0.4×	211 0.6×	142 0.5×	120 1.0×	50	932

Countries citing papers authored by M.C. Wiltbank

Since Specialization

Citations

This map shows the geographic impact of M.C. Wiltbank'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. Wiltbank 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. Wiltbank more than expected).

Fields of papers citing papers by M.C. Wiltbank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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18 of 18 papers shown

Zhu, Ruirui, Sebastian I. Arriola Apelo, R.D. Shaver, et al.. (2025). Effects of high-energy and low-energy diets during late lactation on the subsequent dry period and lactation of Holstein dairy cows. Journal of Dairy Science. 108(9). 10365–10376.

Gandra, Jefferson Rodrigues, Rafael Villela Barletta, Rodolfo Daniel Mingoti, et al.. (2016). Effects of whole flaxseed, raw soybeans, and calcium salts of fatty acids on measures of cellular immune function of transition dairy cows. Journal of Dairy Science. 99(6). 4590–4606. 28 indexed citations

Sala, R. V., et al.. (2015). 107 FACTORS THAT INFLUENCE FERTILITY IN AN IVF EMBRYO TRANSFER PROGRAM IN DAIRY HEIFERS. Reproduction Fertility and Development. 28(2). 183–184. 6 indexed citations

Carvalho, P.D., Jerry Guenther, M.J. Fuenzalida, et al.. (2014). Presynchronization using a modified Ovsynch protocol or a single GnRH injection 7 d before an Ovsynch-56 protocol for submission of lactating dairy cows for first timed artificial insemination.. 3 indexed citations

Caraviello, D.Z., K.A. Weigel, Melanie Craven, et al.. (2006). Analysis of Reproductive Performance of Lactating Cows on Large Dairy Farms Using Machine Learning Algorithms. Journal of Dairy Science. 89(12). 4703–4722. 67 indexed citations

López, H., et al.. (2004). Reproductive Performance of Dairy Cows Fed Two Concentrations of Phosphorus. Journal of Dairy Science. 87(1). 146–157. 25 indexed citations

López, H., et al.. (2004). Effect of Dietary Phosphorus on Performance of Lactating Dairy Cows: Milk Production and Cow Health. Journal of Dairy Science. 87(1). 139–145. 24 indexed citations

Sartori, Roberto, et al.. (2002). Fertilization and Early Embryonic Development in Heifers and Lactating Cows in Summer and Lactating and Dry Cows in Winter. Journal of Dairy Science. 85(11). 2803–2812. 353 indexed citations

Wu, Z., et al.. (2001). Milk Production of Fall-Calving Dairy Cows During Summer Grazing of Grass or Grass-Clover Pasture. Journal of Dairy Science. 84(5). 1166–1173. 11 indexed citations

10.

Gibbons, J.R., K. Kot, D. L. Thomas, M.C. Wiltbank, & O.J. Ginther. (1999). Follicular and fsh dynamics in ewes with a history of high and low ovulation rates. Theriogenology. 52(6). 1005–1020. 45 indexed citations

11.

Wiltbank, M.C.. (1998). Improving reproductive efficiency in high producing dairy cattle. 8 indexed citations

12.

Vasconcelos, J.L.M., et al.. (1997). Pregnancy rate, pregnancy loss, and response to head stress after AI at 2 different times from ovulation in dairy cows.. Biology of Reproduction. 230–230. 85 indexed citations

13.

Pursley, J.R., M.C. Wiltbank, Jeffrey S. Stevenson, et al.. (1997). Pregnancy Rates Per Artificial Insemination for Cows and Heifers Inseminated at a Synchronized Ovulation or Synchronized Estrus. Journal of Dairy Science. 80(2). 295–300. 379 indexed citations

14.

Tsai, Shaw‐Jenq, M.C. Wiltbank, & Karin J. Bodensteiner. (1996). Distinct mechanisms regulate induction of messenger ribonucleic acid for prostaglandin (PG) G/H synthase-2, PGE (EP3) receptor, and PGF2 alpha receptor in bovine preovulatory follicles.. Endocrinology. 137(8). 3348–3355. 96 indexed citations

15.

Gibbons, J.R., K. Kot, D. L. Thomas, M.C. Wiltbank, & O.J. Ginther. (1996). Influence of the Booroola FecB allele on follicular dynamics. Theriogenology. 45(1). 252–252. 1 indexed citations

16.

Wiltbank, M.C., M.G. Diskin, & G. D. Niswender. (1991). Differential actions of second messenger systems in the corpus luteum.. PubMed. 43. 65–75. 72 indexed citations

17.

Wiltbank, M.C., Kim P. Gallagher, Robert C. Dysko, & P. Landis Keyes. (1989). Regulation of Blood Flow to the Rabbit Corpus Luteum: Effects of Estradiol and Human Chorionic Gonadotropin*. Endocrinology. 124(2). 605–611. 30 indexed citations

18.

Keyes, P. Landis & M.C. Wiltbank. (1988). Endocrine Regulation of the Corpus Luteum. Annual Review of Physiology. 50(1). 465–482. 36 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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