J. E. Fortune

9.9k total citations · 2 hit papers
104 papers, 7.7k citations indexed

About

J. E. Fortune is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, J. E. Fortune has authored 104 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Agronomy and Crop Science, 66 papers in Public Health, Environmental and Occupational Health and 38 papers in Genetics. Recurrent topics in J. E. Fortune's work include Reproductive Physiology in Livestock (70 papers), Reproductive Biology and Fertility (66 papers) and Genetic and phenotypic traits in livestock (23 papers). J. E. Fortune is often cited by papers focused on Reproductive Physiology in Livestock (70 papers), Reproductive Biology and Fertility (66 papers) and Genetic and phenotypic traits in livestock (23 papers). J. E. Fortune collaborates with scholars based in United States, Canada and United Kingdom. J. E. Fortune's co-authors include Jean Sirois, Ming Yang, Gonzalo M. Rivera, Anne K. Voss, John J. Eppig, S.-A. Wandji, A.C.O. Evans, A. M. Turzillo, David T. Armstrong and William Hansel and has published in prestigious journals such as Development, Endocrinology and Developmental Biology.

In The Last Decade

J. E. Fortune

103 papers receiving 7.3k citations

Hit Papers

Ovarian Follicular Dynamics during the Estrous Cycle in H... 1988 2026 2000 2013 1988 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. E. Fortune United States 51 4.9k 4.5k 3.1k 2.4k 1.2k 104 7.7k
R. Webb United Kingdom 54 5.4k 1.1× 5.9k 1.3× 3.8k 1.2× 2.9k 1.2× 1.6k 1.3× 157 10.0k
James J. Ireland United States 43 3.4k 0.7× 3.8k 0.9× 2.4k 0.8× 1.8k 0.7× 968 0.8× 106 6.2k
M.M. Bevers Netherlands 48 4.6k 0.9× 2.3k 0.5× 1.4k 0.4× 3.4k 1.4× 1.4k 1.1× 170 6.6k
Bruce D. Murphy Canada 42 2.0k 0.4× 2.0k 0.5× 1.6k 0.5× 1.3k 0.5× 1.4k 1.2× 212 6.2k
P. G. Knight United Kingdom 45 4.3k 0.9× 2.5k 0.6× 2.0k 0.6× 2.3k 0.9× 2.9k 2.4× 152 7.9k
R. M. Moor United Kingdom 59 6.3k 1.3× 2.7k 0.6× 2.6k 0.8× 3.5k 1.5× 3.4k 2.8× 188 10.0k
D. Schams Germany 51 1.5k 0.3× 4.5k 1.0× 2.0k 0.6× 923 0.4× 1.0k 0.8× 234 7.0k
A. L. Johnson United States 41 2.0k 0.4× 1.4k 0.3× 1.5k 0.5× 1.6k 0.7× 1.9k 1.5× 128 5.9k
K. P. McNatty New Zealand 36 2.6k 0.5× 1.8k 0.4× 1.4k 0.4× 1.6k 0.7× 950 0.8× 83 4.4k
M.P. Boland Ireland 50 5.2k 1.1× 4.3k 1.0× 3.6k 1.2× 2.5k 1.0× 1.8k 1.5× 143 8.2k

Countries citing papers authored by J. E. Fortune

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Fortune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. E. Fortune

This figure shows the co-authorship network connecting the top 25 collaborators of J. E. Fortune. A scholar is included among the top collaborators of J. E. Fortune 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 J. E. Fortune. J. E. Fortune 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.
2.
Yang, Ming, Robert A. Cushman, & J. E. Fortune. (2017). Anti-Müllerian hormone inhibits activation and growth of bovine ovarian follicles in vitro and is localized to growing follicles. Molecular Human Reproduction. 23(5). 282–291. 53 indexed citations
3.
Fortune, J. E., et al.. (2015). Damage to fetal bovine ovarian tissue caused by cryoprotectant exposure and vitrification is mitigated during tissue culture. Journal of Assisted Reproduction and Genetics. 32(8). 1239–1250. 22 indexed citations
5.
Fortune, J. E., et al.. (2006). Effects of oxygen tension and supplements to the culture medium on activation and development of bovine follicles in vitro. Theriogenology. 66(2). 344–353. 28 indexed citations
7.
Fortune, J. E., Gonzalo M. Rivera, & Ming Yang. (2004). Follicular development: the role of the follicular microenvironment in selection of the dominant follicle. Animal Reproduction Science. 82-83. 109–126. 212 indexed citations
8.
Jo, Misung & J. E. Fortune. (2003). Changes in oxytocin receptor in bovine preovulatory follicles between the gonadotropin surge and ovulation. Molecular and Cellular Endocrinology. 200(1-2). 31–43. 16 indexed citations
9.
Enright, Brian, M. Taneja, David Schreiber, et al.. (2002). Reproductive Characteristics of Cloned Heifers Derived from Adult Somatic Cells1. Biology of Reproduction. 66(2). 291–296. 57 indexed citations
10.
Fortune, J. E.. (2002). Activation of Primordial Follicles. PubMed. 11–21. 2 indexed citations
11.
Fortune, J. E.. (2001). Selection and Maintenance of the Dominant Follicle: An Introduction. Biology of Reproduction. 65(3). 637–637. 16 indexed citations
12.
Wandji, S.-A., et al.. (1997). Initiation of growth of baboon primordial follicles in vitro. Human Reproduction. 12(9). 1993–2001. 180 indexed citations
13.
Wandji, S.-A., Vlastimil Sršeň, Anne K. Voss, John J. Eppig, & J. E. Fortune. (1996). Initiation in Vitro of Growth of Bovine Primordial Follicles1. Biology of Reproduction. 55(5). 942–948. 258 indexed citations
14.
Wandji, S.-A., John J. Eppig, & J. E. Fortune. (1996). FSH and growth factors affect the growth and endocrine function in vitro of granulosa cells of bovine preantral follicles. Theriogenology. 45(4). 817–832. 147 indexed citations
15.
Ellington, J.E., et al.. (1996). A dominant follicle does not affect follicular recruitment by superovulatory doses of FSH in cattle but can inhibit ovulation. Theriogenology. 45(6). 1091–1102. 31 indexed citations
16.
Fortune, J. E., et al.. (1993). Ovarian follicular dominance in cattle: relationship between prolonged growth of the ovulatory follicle and endocrine parameters.. Endocrinology. 132(3). 1108–1114. 262 indexed citations
17.
Voss, Anne K. & J. E. Fortune. (1991). Oxytocin Secretion by Bovine Granulosa Cells: Effects of Stage of Follicular Development, Gonadotropins, and Coculture with Theca Interna. Endocrinology. 128(4). 1991–1999. 37 indexed citations
18.
Shukovski, L, J. E. Fortune, & Jock K. Findlay. (1990). Oxytocin and progesterone secretion by bovine granulosa cells of individual preovulatory follicles cultured in serum-free medium. Molecular and Cellular Endocrinology. 69(1). 17–24. 17 indexed citations
19.
Fortune, J. E. & Susan M. Quirk. (1988). REGULATION OF STEROIDOGENESIS IN BOVINE PREOVULATORY FOLLICLES. Journal of Animal Science. 66. 1–8. 61 indexed citations
20.
Quirk, Susan M., Gerard J. Hickey, & J. E. Fortune. (1986). Growth and regression of ovarian follicles during the follicular phase of the oestrous cycle in heifers undergoing spontaneous and PGF-2α-induced luteolysis. Reproduction. 77(1). 211–219. 70 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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