Susan M. Quirk

2.9k total citations
48 papers, 2.4k citations indexed

About

Susan M. Quirk is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, Susan M. Quirk has authored 48 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Public Health, Environmental and Occupational Health and 13 papers in Agronomy and Crop Science. Recurrent topics in Susan M. Quirk's work include Reproductive Biology and Fertility (20 papers), Reproductive Physiology in Livestock (13 papers) and Cell death mechanisms and regulation (10 papers). Susan M. Quirk is often cited by papers focused on Reproductive Biology and Fertility (20 papers), Reproductive Physiology in Livestock (13 papers) and Cell death mechanisms and regulation (10 papers). Susan M. Quirk collaborates with scholars based in United States, Germany and Canada. Susan M. Quirk's co-authors include Robert G. Cowan, Rebecca M. Harman, J. E. Fortune, Marlene Belfort, Deborah Bell‐Pedersen, Dale Porter, Chelin Hu, Katherine P. Henrikson, Sharad G. Joshi and Jean Sirois and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Susan M. Quirk

48 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan M. Quirk United States 29 1.2k 979 650 601 482 48 2.4k
Robert G. Cowan United States 27 748 0.6× 829 0.8× 521 0.8× 314 0.5× 437 0.9× 44 2.1k
S. Sasamoto Japan 29 968 0.8× 408 0.4× 584 0.9× 639 1.1× 281 0.6× 68 2.6k
Charlotte E. Farin United States 28 1.1k 0.9× 1.9k 1.9× 1.3k 2.0× 1.1k 1.8× 532 1.1× 66 3.2k
K. P. McNatty New Zealand 25 648 0.5× 1.2k 1.2× 634 1.0× 668 1.1× 466 1.0× 59 1.8k
A.K. Goff Canada 28 368 0.3× 587 0.6× 1.2k 1.9× 744 1.2× 337 0.7× 70 2.1k
Rodney D. Geisert United States 37 780 0.6× 1.1k 1.1× 1.9k 3.0× 1.3k 2.2× 379 0.8× 92 3.6k
David W. Schomberg United States 30 783 0.6× 1.3k 1.4× 647 1.0× 1.0k 1.7× 819 1.7× 75 2.9k
H. M. Fraser United Kingdom 25 354 0.3× 386 0.4× 773 1.2× 416 0.7× 667 1.4× 46 1.7k
Jacques G. Lussier Canada 27 692 0.6× 972 1.0× 1.0k 1.5× 1.1k 1.8× 458 1.0× 89 2.4k
P.W. Farin United States 25 994 0.8× 1.6k 1.7× 985 1.5× 1.0k 1.7× 379 0.8× 37 2.5k

Countries citing papers authored by Susan M. Quirk

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Quirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan M. Quirk

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Quirk. A scholar is included among the top collaborators of Susan M. Quirk 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 Susan M. Quirk. Susan M. Quirk 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.
Cowan, Robert G. & Susan M. Quirk. (2021). Cells responding to hedgehog signaling contribute to the theca of ovarian follicles. Reproduction. 161(4). 437–448. 11 indexed citations
2.
3.
Cowan, Robert G., et al.. (2013). Multiphoton microscopy as a tool to study ovarian vasculature in vivo. 2(1). e24334–e24334. 4 indexed citations
4.
Quirk, Susan M., Robert G. Cowan, & Rebecca M. Harman. (2012). Role of the cell cycle in regression of the corpus luteum. Reproduction. 145(2). 161–175. 15 indexed citations
5.
Ren, Yi, Robert G. Cowan, Rebecca M. Harman, & Susan M. Quirk. (2009). Dominant Activation of the Hedgehog Signaling Pathway in the Ovary Alters Theca Development and Prevents Ovulation. Molecular Endocrinology. 23(5). 711–723. 54 indexed citations
6.
Thorn, Stephanie R., Richard Ehrhardt, W.R. Butler, Susan M. Quirk, & Yves R. Boisclair. (2008). Insulin regulates hepatic leptin receptor expression in early lactating dairy cows. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(5). R1455–R1462. 21 indexed citations
7.
Cowan, Robert G., et al.. (2007). The Hedgehog Signaling Pathway in the Mouse Ovary1. Biology of Reproduction. 77(2). 226–236. 83 indexed citations
8.
Quirk, Susan M., Robert G. Cowan, & Rebecca M. Harman. (2006). The susceptibility of granulosa cells to apoptosis is influenced by oestradiol and the cell cycle. Journal of Endocrinology. 189(3). 441–453. 82 indexed citations
9.
Cowan, Robert G., et al.. (2005). Apoptosis of bovine ovarian surface epithelial cells by Fas antigen/Fas ligand signaling. Reproduction. 130(5). 751–758. 7 indexed citations
10.
Quirk, Susan M., Robert G. Cowan, & Rebecca M. Harman. (2004). Progesterone Receptor and the Cell Cycle Modulate Apoptosis in Granulosa Cells. Endocrinology. 145(11). 5033–5043. 56 indexed citations
11.
Hu, Chelin, Robert G. Cowan, Rebecca M. Harman, & Susan M. Quirk. (2003). Cell Cycle Progression and Activation of Akt Kinase Are Required for Insulin-Like Growth Factor I-Mediated Suppression of Apoptosis in Granulosa Cells. Molecular Endocrinology. 18(2). 326–338. 100 indexed citations
12.
Porter, Dale, Rebecca M. Harman, Robert G. Cowan, & Susan M. Quirk. (2001). Susceptibility of ovarian granulosa cells to apoptosis differs in cells isolated before or after the preovulatory LH surge. Molecular and Cellular Endocrinology. 176(1-2). 13–20. 27 indexed citations
13.
Quirk, Susan M., et al.. (1997). Fas Antigen-Mediated Apoptosis of Ovarian Surface Epithelial Cells*. Endocrinology. 138(11). 4558–4566. 46 indexed citations
14.
Henrikson, Katherine P., et al.. (1997). EXPRESSION OF RAT THROMBIN RECEPTOR AND MUTANTS IN THE BACULOVIRUS-INFECTED INSECT CELL SYSTEM. Thrombosis Research. 87(2). 205–214. 2 indexed citations
15.
Quirk, Susan M., et al.. (1996). Rat uterine stromal cells: thrombin receptor and growth stimulation by thrombin.. Endocrinology. 137(9). 3744–3749. 11 indexed citations
16.
Quirk, Susan M., Brian T. Pentecost, Nigel Mackman, et al.. (1995). The regulation of uterine tissue factor by estrogen. Endocrine. 3(2). 177–184. 5 indexed citations
17.
Quirk, Susan M., et al.. (1989). The inconsistent distribution of introns in the T-even phages indicates recent genetic exchanges. Nucleic Acids Research. 17(1). 301–315. 33 indexed citations
18.
Fortune, J. E. & Susan M. Quirk. (1988). REGULATION OF STEROIDOGENESIS IN BOVINE PREOVULATORY FOLLICLES. Journal of Animal Science. 66. 1–8. 61 indexed citations
19.
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
20.
Schouten, Peter, Susan M. Quirk, & Michael Archer. (1983). Prehistoric animals of Australia. 3 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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