Mary Peavey

1.2k total citations · 1 hit paper
26 papers, 936 citations indexed

About

Mary Peavey is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Mary Peavey has authored 26 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Reproductive Medicine, 12 papers in Public Health, Environmental and Occupational Health and 8 papers in Immunology. Recurrent topics in Mary Peavey's work include Reproductive Biology and Fertility (8 papers), Reproductive System and Pregnancy (7 papers) and Ovarian function and disorders (5 papers). Mary Peavey is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Reproductive System and Pregnancy (7 papers) and Ovarian function and disorders (5 papers). Mary Peavey collaborates with scholars based in United States, Canada and Japan. Mary Peavey's co-authors include John DiGiovanni, Steve Carbajal, Keith Syson Chan, Shigetoshi Sano, John L. Clifford, Satoshi Itami, Brian J. Nickoloff, Kaoru Kiguchi, William E. Gibbons and Francesco J. DeMayo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS ONE.

In The Last Decade

Mary Peavey

23 papers receiving 915 citations

Hit Papers

Stat3 links activated ker... 2004 2026 2011 2018 2004 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
Mary Peavey United States 10 579 296 248 231 126 26 936
Nobuyasu Komazawa Japan 7 204 0.4× 414 1.4× 66 0.3× 498 2.2× 68 0.5× 7 908
Haiting Mao China 17 368 0.6× 274 0.9× 19 0.1× 290 1.3× 41 0.3× 37 827
Mika Nishihara Japan 7 522 0.9× 246 0.8× 62 0.3× 292 1.3× 16 0.1× 9 996
Jehng-Kang Wang Taiwan 18 157 0.3× 134 0.5× 30 0.1× 295 1.3× 31 0.2× 40 854
Fusheng Zhou China 18 400 0.7× 128 0.4× 190 0.8× 455 2.0× 33 0.3× 94 998
Hiroyuki Furumoto Japan 15 199 0.3× 181 0.6× 17 0.1× 258 1.1× 169 1.3× 42 752
Ludivine Dion France 18 86 0.1× 119 0.4× 23 0.1× 459 2.0× 56 0.4× 55 804
Xiulan Yang United States 14 152 0.3× 260 0.9× 21 0.1× 442 1.9× 27 0.2× 25 861
Jamal Dakour Canada 15 209 0.4× 62 0.2× 25 0.1× 341 1.5× 22 0.2× 27 750
Baiqing Tang United States 19 426 0.7× 129 0.4× 7 0.0× 468 2.0× 312 2.5× 26 1.2k

Countries citing papers authored by Mary Peavey

Since Specialization
Citations

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

Fields of papers citing papers by Mary Peavey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Peavey. 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 Mary Peavey. The network helps show where Mary Peavey may publish in the future.

Co-authorship network of co-authors of Mary Peavey

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Peavey. A scholar is included among the top collaborators of Mary Peavey 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 Mary Peavey. Mary Peavey 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.
Peavey, Mary, et al.. (2025). “How did it go?”—investigation of physician’s experience during embryo transfer and subsequent pregnancy outcomes. Journal of Assisted Reproduction and Genetics. 42(9). 2951–2956.
2.
Yao, Mylene, Elizabeth T. Nguyen, Susannah D. Copland, et al.. (2024). Improving IVF Utilization with Patient-Centric Artificial Intelligence-Machine Learning (AI/ML): A Retrospective Multicenter Experience. Journal of Clinical Medicine. 13(12). 3560–3560. 2 indexed citations
3.
Wu, San‐Pin, Tianyuan Wang, Mary Peavey, et al.. (2022). Myometrial progesterone receptor determines a transcription program for uterine remodeling and contractions during pregnancy. PNAS Nexus. 1(4). pgac155–pgac155. 12 indexed citations
4.
Yang, Liubin, Mary Peavey, Neil Chappell, et al.. (2022). Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics. F&S Reports. 3(2). 116–123. 21 indexed citations
5.
Peavey, Mary, San‐Pin Wu, Rong Li, et al.. (2021). Progesterone receptor isoform B regulates theOxtr-Plcl2-Trpc3pathway to suppress uterine contractility. Proceedings of the National Academy of Sciences. 118(11). 26 indexed citations
6.
Chappell, Neil, Jaimin S. Shah, Mary Peavey, et al.. (2020). Embryos from polycystic ovary syndrome patients with hyperandrogenemia reach morula stage faster than controls. F&S Reports. 1(2). 125–132. 16 indexed citations
7.
Peavey, Mary, Corey Reynolds, Maria M. Szwarc, et al.. (2017). Three-Dimensional High-Frequency Ultrasonography for Early Detection and Characterization of Embryo Implantation Site Development in the Mouse. PLoS ONE. 12(1). e0169312–e0169312. 9 indexed citations
8.
Szwarc, Maria M., Ramakrishna Kommagani, Mary Peavey, et al.. (2017). A bioluminescence reporter mouse that monitors expression of constitutively active β-catenin. PLoS ONE. 12(3). e0173014–e0173014. 2 indexed citations
9.
Peavey, Mary, Corey Reynolds, Maria M. Szwarc, et al.. (2017). A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse. Journal of Visualized Experiments. 3 indexed citations
10.
Szwarc, Maria M., Hai Lan, William E. Gibbons, et al.. (2017). Human endometrial stromal cell decidualization requires transcriptional reprogramming by PLZF†. Biology of Reproduction. 98(1). 15–27. 28 indexed citations
11.
Peavey, Mary, et al.. (2017). Optimization of oestradiol assays to improve utility in an in vitro fertilization setting. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 55(1). 113–120. 4 indexed citations
12.
Peavey, Mary, Corey Reynolds, Maria M. Szwarc, et al.. (2017). A Novel Use of Three-dimensional High-frequency Ultrasonography for Early Pregnancy Characterization in the Mouse. Journal of Visualized Experiments. 4 indexed citations
13.
Peavey, Mary, Sara E. Arian, William E. Gibbons, et al.. (2016). On-Site Fertility Preservation Services for Adolescents and Young Adults in a Comprehensive Cancer Center. Journal of Adolescent and Young Adult Oncology. 6(2). 229–234. 8 indexed citations
14.
Kommagani, Ramakrishna, Maria M. Szwarc, Yasmin M. Vasquez, et al.. (2016). The Promyelocytic Leukemia Zinc Finger Transcription Factor Is Critical for Human Endometrial Stromal Cell Decidualization. PLoS Genetics. 12(4). e1005937–e1005937. 55 indexed citations
15.
Peavey, Mary, et al.. (2014). Collagen-Binding α11 Integrin Expression in Human Myometrium and Fibroids Utilizing a Novel RNA In Situ Probe. Reproductive Sciences. 21(9). 1139–1144. 7 indexed citations
16.
Tu, Frank F., et al.. (2013). A Pilot Feasibility Multicenter Study of Patients After Excision of Endometriosis. JSLS Journal of the Society of Laparoscopic & Robotic Surgeons. 17(1). 88–94. 8 indexed citations
17.
Peavey, Mary, et al.. (2012). Spontaneous pregnancy reaches viability after low first trimester serum progesterone: a case report.. PubMed. 57(3-4). 171–4. 5 indexed citations
18.
Ream, Margie, Rashmi Chandra, Mary Peavey, et al.. (2008). High oxygen prevents fetal lethality due to lack of catecholamines. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(3). R942–R953. 22 indexed citations
19.
Chan, Keith Syson, Shigetoshi Sano, Ken Kataoka, et al.. (2007). Forced expression of a constitutively active form of Stat3 in mouse epidermis enhances malignant progression of skin tumors induced by two-stage carcinogenesis. Oncogene. 27(8). 1087–1094. 89 indexed citations
20.
Sano, Shigetoshi, Keith Syson Chan, Steve Carbajal, et al.. (2004). Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model. Nature Medicine. 11(1). 43–49. 592 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026