E. M. Jinks

971 total citations
9 papers, 361 citations indexed

About

E. M. Jinks is a scholar working on Agronomy and Crop Science, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, E. M. Jinks has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Agronomy and Crop Science, 8 papers in Genetics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in E. M. Jinks's work include Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (8 papers) and Reproductive Biology and Fertility (5 papers). E. M. Jinks is often cited by papers focused on Reproductive Physiology in Livestock (8 papers), Genetic and phenotypic traits in livestock (8 papers) and Reproductive Biology and Fertility (5 papers). E. M. Jinks collaborates with scholars based in United States and Brazil. E. M. Jinks's co-authors include T. W. Geary, J. A. Atkins, Ky G Pohler, M. F. Smith, M. D. MacNeil, George A. Perry, L. J. Alexander, Michael F. Smith, Richard C. Waterman and A. J. Roberts and has published in prestigious journals such as Biology of Reproduction, Journal of Animal Science and Cell and Tissue Research.

In The Last Decade

E. M. Jinks

8 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. M. Jinks United States	6	332	270	140	77	58	9	361
J. A. Atkins United States	10	511 1.5×	435 1.6×	187 1.3×	112 1.5×	70 1.2×	13	558
R.V. Oliveira Filho United States	8	248 0.7×	174 0.6×	82 0.6×	60 0.8×	52 0.9×	19	295
Jéssica Nora Drum United States	11	245 0.7×	191 0.7×	74 0.5×	59 0.8×	53 0.9×	25	279
L. H. Cruppe United States	11	342 1.0×	299 1.1×	97 0.7×	137 1.8×	32 0.6×	18	376
Alexandre B. Prata Brazil	11	304 0.9×	245 0.9×	104 0.7×	88 1.1×	33 0.6×	21	333
Cássia Maria Barroso Orlandi Brazil	6	463 1.4×	412 1.5×	138 1.0×	80 1.0×	26 0.4×	23	535
Pedro L P Fontes United States	10	248 0.7×	165 0.6×	73 0.5×	61 0.8×	33 0.6×	51	298
R. S. Ramos Brazil	10	241 0.7×	153 0.6×	110 0.8×	42 0.5×	98 1.7×	17	297
J. Lüttgenau Switzerland	11	321 1.0×	164 0.6×	91 0.7×	87 1.1×	59 1.0×	21	363
S. Scully Ireland	9	298 0.9×	240 0.9×	111 0.8×	75 1.0×	54 0.9×	10	331

Countries citing papers authored by E. M. Jinks

Since Specialization

Citations

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

Fields of papers citing papers by E. M. Jinks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. M. Jinks

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Geary, T. W., L. H. Cruppe, E. M. Jinks, et al.. (2014). The effect of follicle age on pregnancy rate in beef cows1. Journal of Animal Science. 92(3). 1015–1021. 10 indexed citations

2.

Jinks, E. M., M. F. Smith, J. A. Atkins, et al.. (2013). Preovulatory estradiol and the establishment and maintenance of pregnancy in suckled beef cows1. Journal of Animal Science. 91(3). 1176–1185. 109 indexed citations

3.

Pohler, Ky G, T. W. Geary, J. A. Atkins, et al.. (2013). Circulating bovine pregnancy associated glycoproteins are associated with late embryonic/fetal survival but not ovulatory follicle size in suckled beef cows1. Journal of Animal Science. 91(9). 4158–4167. 68 indexed citations

4.

Pohler, Ky G, T. W. Geary, J. A. Atkins, et al.. (2012). Follicular determinants of pregnancy establishment and maintenance. Cell and Tissue Research. 349(3). 649–664. 73 indexed citations

5.

Geary, T. W., M. F. Smith, M. D. MacNeil, et al.. (2012). TRIENNIAL REPRODUCTION SYMPOSIUM: Influence of follicular characteristics at ovulation on early embryonic survival1,2. Journal of Animal Science. 91(7). 3014–3021. 34 indexed citations

6.

Pohler, Ky G, M. F. Smith, E. M. Jinks, et al.. (2012). Effect of Ovulatory Follicle Size on Steroidogenic Capacity and Molecular Markers of Oocyte Competence prior to GnRH-Induced Ovulation in Nonlactating Beef Cows.. Biology of Reproduction. 87(Suppl_1). 492–492.

7.

Atkins, J. A., M. F. Smith, M. D. MacNeil, et al.. (2012). Pregnancy establishment and maintenance in cattle1. Journal of Animal Science. 91(2). 722–733. 61 indexed citations

8.

Robbins, Katherine, Kevin D. Wells, Chad O’Gorman, et al.. (2010). Establishment of a Phenotypical Model of Adverse Outcomes Associated with Assisted Reproductive Technologies.. Biology of Reproduction. 83(Suppl_1). 316–316. 1 indexed citations

9.

Smith, M. F., George A. Perry, J. A. Atkins, et al.. (2005). PHYSIOLOGICAL PRINCIPLES UNDERLYING SYNCHRONIZATION OF ESTRUS. 5 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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