Mary Peavey

59 total papers · 1.2k total citations
26 papers, 927 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 927 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 Assisted Reproductive Technology and Twin Pregnancy (5 papers). Mary Peavey is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Reproductive System and Pregnancy (7 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Mary Peavey collaborates with scholars based in United States, Canada and Japan. Mary Peavey's co-authors include Shigetoshi Sano, Steve Carbajal, John DiGiovanni, John L. Clifford, Keith Syson Chan, Brian J. Nickoloff, Satoshi Itami, 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 906 citations

Hit Papers

Stat3 links activated ker... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mary Peavey 574 295 248 230 124 26 927
Clara Redondo 259 0.5× 184 0.6× 54 0.2× 626 2.7× 16 0.1× 30 1.2k
E Abe 242 0.4× 336 1.1× 41 0.2× 577 2.5× 22 0.2× 20 1.2k
Arjen Joosse 207 0.4× 639 2.2× 184 0.7× 280 1.2× 25 0.2× 33 940
Haiting Mao 372 0.6× 275 0.9× 18 0.1× 295 1.3× 42 0.3× 37 832
Christine Joseph 142 0.2× 188 0.6× 52 0.2× 319 1.4× 30 0.2× 25 958
Ingrid Synnerstad 106 0.2× 349 1.2× 284 1.1× 232 1.0× 22 0.2× 24 851
Jehng-Kang Wang 157 0.3× 133 0.5× 30 0.1× 295 1.3× 31 0.3× 40 852
Giulia Allavena 179 0.3× 73 0.2× 30 0.1× 639 2.8× 73 0.6× 26 1.0k
Ralph Hamilton 112 0.2× 197 0.7× 28 0.1× 397 1.7× 139 1.1× 26 943
James E. Tate 151 0.3× 170 0.6× 38 0.2× 291 1.3× 16 0.1× 16 804

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

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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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