Mary E. McAsey

22 papers receiving 685 citations

Peers

Mary E. McAsey
Comparison fields: 5 of 82
  • Reproductive Medicine 87
  • Sensory Systems 48
  • Behavioral Neuroscience 33
  • Obstetrics and Gynecology 59
  • Endocrinology, Diabetes and Metabolism 113
Replace Dante A. Paz with:
Dante A. Paz Argentina
Joëlle Cohen-Tannoudji France
Lisa M. H. Helms United States
Christelle De Mees Belgium
Manabu Matsuda Japan
Albert A. Lamperti United States
Joëlle Cohen-Tannoudji France
Kazuyoshi Arishima Japan
A. Martin France
Lynn P. Chorich United States
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Citations per year

Countries citing papers authored by Mary E. McAsey

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. McAsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mary E. McAsey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mary E. McAsey Line = papers co-authored together Mary E. McAsey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 1996123
3 200485
4 198943
5 200642
6 200538
7 199037
8 199833
9 200231
10 198824
11 200620
12 201620
13 200718
14 198814
15 200613
16 19896
17 20006
18 20074
19 19954
20 19983

About Mary E. McAsey

Mary E. McAsey is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Molecular Biology, having authored 23 papers that have together received 711 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (5 papers), Estrogen and related hormone effects (5 papers), Reproductive Biology and Fertility (4 papers), Ovarian function and disorders (2 papers), Hormonal and reproductive studies (2 papers), Sperm and Testicular Function (2 papers), Turtle Biology and Conservation (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Reproductive Medicine (87 citations), Sensory Systems (48 citations), Behavioral Neuroscience (33 citations), Obstetrics and Gynecology (59 citations) and Endocrinology, Diabetes and Metabolism (113 citations). Mary E. McAsey has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Britto P. Nathan, Robert G. Struble, Craig Cady, J. L. Tilly, Jodi A. Flaws, Patricia B. Hoyer, I.G. Sipes, PonJola Coney, Fei Shen and I.Y. Mahmoud. Their work appears in journals such as Fertility and Sterility, American Journal of Roentgenology, American Journal of Obstetrics and Gynecology, Climacteric and Experimental Neurology.

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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