Susan D. Reed

168 papers receiving 6.0k citations

Peers

Susan D. Reed
Comparison fields: 5 of 156
  • Obstetrics and Gynecology 1.2k
  • Reproductive Medicine 963
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Pathology and Forensic Medicine 1.1k
  • Genetics 453
Replace Chiara Benedetto with:
Chiara Benedetto Italy
Edmund Chada Baracat Brazil
Gloria Bachmann United States
Santiago Palacios Spain
Bo von Schoultz Sweden
Camil Castelo‐Branco Spain
Leon Speroff United States
Yolanda B. de Rijke Netherlands
John Studd United Kingdom
Isaac Schiff United States
Susan D. Reed relative to Chiara Benedetto Italy Chiara Benedetto's profile →
Citations per field
00.5×4.2×
Chiara Benedetto · 1×
Citations per year

Countries citing papers authored by Susan D. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Susan D. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan D. Reed, 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 Susan D. Reed Line = papers co-authored together Susan D. Reed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010278
2 1980238
3 1982202
4 2006202
5 2009142
6 2014136
7 1982134
8 2020128
9 2013128
10 1983113
11 2005112
12 2018111
13 2008110
14 2006102
15 2016101
16 201296
17 200995
18 201486
19 201384
20 200883

About Susan D. Reed

Susan D. Reed is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Genetics and Pathology and Forensic Medicine, having authored 176 papers that have together received 6.2k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (56 papers), Estrogen and related hormone effects (33 papers), Phytoestrogen effects and research (24 papers), Endometriosis Research and Treatment (18 papers), Pelvic floor disorders treatments (16 papers), Endometrial and Cervical Cancer Treatments (15 papers), Sexual function and dysfunction studies (14 papers) and Uterine Myomas and Treatments (12 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (963 citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Pathology and Forensic Medicine (1.1k citations) and Genetics (453 citations). Susan D. Reed has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Katherine M. Newton, Andrea Z. LaCroix, Judith G. Hall, Katherine A. Guthrie, Joseph C. Larson, Kristine E. Ensrud, Melissa A. Schiff, Hadine Joffe, Kelly Ehrlich and Ellen W. Freeman. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology, Maturitas and Journal of Women s Health.

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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