Maggie Dailey

2.0k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Maggie Dailey is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Dermatology. According to data from OpenAlex, Maggie Dailey has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 2 papers in Dermatology. Recurrent topics in Maggie Dailey's work include Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (3 papers) and Acne and Rosacea Treatments and Effects (2 papers). Maggie Dailey is often cited by papers focused on Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (3 papers) and Acne and Rosacea Treatments and Effects (2 papers). Maggie Dailey collaborates with scholars based in United States. Maggie Dailey's co-authors include Stephen R. Rapp, Mark A. Espeland, Sally A. Shumaker, Deborah J. Bowen, Laura H. Coker, Jennifer Hays, JoAnn E. Manson, Robert L. Brunner, Marcia L. Stefanick and Margery Gass and has published in prestigious journals such as JAMA, Medicine & Science in Sports & Exercise and Journal of the American Geriatrics Society.

In The Last Decade

Maggie Dailey

8 papers receiving 1.4k citations

Hit Papers

Effect of Estrogen Plus Progestin on Global Cognitive Fun... 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maggie Dailey United States 8 842 768 265 207 185 8 1.5k
Elizabeth Barrett-Connor United States 12 1.1k 1.3× 563 0.7× 232 0.9× 335 1.6× 152 0.8× 13 2.0k
Iris Granek United States 10 591 0.7× 475 0.6× 220 0.8× 97 0.5× 84 0.5× 11 956
F Grodstein United States 17 240 0.3× 219 0.3× 222 0.8× 114 0.6× 29 0.2× 32 1.4k
Inge W. Rudman United States 17 1.1k 1.3× 185 0.2× 101 0.4× 108 0.5× 100 0.5× 28 2.1k
Horace M. Perry United States 13 1.1k 1.3× 138 0.2× 127 0.5× 194 0.9× 143 0.8× 16 2.0k
Assumpta Caixàs Spain 31 783 0.9× 540 0.7× 87 0.3× 48 0.2× 24 0.1× 149 2.8k
Deborah Goodman‐Gruen United States 21 962 1.1× 358 0.5× 368 1.4× 143 0.7× 161 0.9× 23 2.1k
Malini Iyengar United States 18 463 0.5× 336 0.4× 180 0.7× 174 0.8× 27 0.1× 26 1.6k
David D. Ørsted Denmark 20 1.1k 1.4× 141 0.2× 91 0.3× 158 0.8× 252 1.4× 32 2.4k
Sandro Loche Italy 35 3.0k 3.6× 826 1.1× 128 0.5× 55 0.3× 84 0.5× 160 4.2k

Countries citing papers authored by Maggie Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Maggie Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maggie Dailey

This figure shows the co-authorship network connecting the top 25 collaborators of Maggie Dailey. A scholar is included among the top collaborators of Maggie Dailey 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 Maggie Dailey. Maggie Dailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rapp, Stephen R., Claudine Legault, Mark A. Espeland, et al.. (2012). Validation of a Cognitive Assessment Battery Administered over the Telephone. Journal of the American Geriatrics Society. 60(9). 1616–1623. 81 indexed citations
2.
Coker, Laura H., Mark A. Espeland, Stephen R. Rapp, et al.. (2009). Postmenopausal hormone therapy and cognitive outcomes: The Women's Health Initiative Memory Study (WHIMS). The Journal of Steroid Biochemistry and Molecular Biology. 118(4-5). 304–310. 101 indexed citations
3.
Rapp, Stephen R., Steven R. Feldman, Gloria F. Graham, et al.. (2006). The Acne Quality of Life Index (Acne-QOLI). American Journal of Clinical Dermatology. 7(3). 185–192. 36 indexed citations
4.
Espeland, Mark A., Stephen R. Rapp, Sally A. Shumaker, et al.. (2004). Conjugated Equine Estrogens and Global Cognitive Function in Postmenopausal Women: Women???s Health Initiative Memory Study. Obstetrical & Gynecological Survey. 59(10). 712–714. 199 indexed citations
5.
Brenes, Gretchen A., Steven R. Feldman, Alan B. Fleischer, et al.. (2004). Anger and acne: implications for quality of life, patient satisfaction and clinical care. British Journal of Dermatology. 151(1). 183–189. 99 indexed citations
6.
Rapp, Stephen R., Mark A. Espeland, Sally A. Shumaker, et al.. (2003). Effect of Estrogen Plus Progestin on Global Cognitive Function in Postmenopausal Women. JAMA. 289(20). 2663–2663. 696 indexed citations breakdown →
7.
Sevick, Mary Ann, et al.. (2000). Cost-effectiveness of aerobic and resistance exercise in seniors with knee osteoarthritis. Medicine & Science in Sports & Exercise. 32(9). 1534–1540. 58 indexed citations
8.
Shumaker, Sally A., Beth A. Reboussin, Mark A. Espeland, et al.. (1998). The Women’s Health Initiative Memory Study (WHIMS). Controlled Clinical Trials. 19(6). 604–621. 243 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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