Nick Panay

8.0k citations
117 papers · 4.8k indexed · 3 hit papers · h-index 36

Nick Panay

112 papers receiving 4.5k citations

Hit Papers

Elinzanetant fo...392016202620192022200400600

Peers

Nick Panay
Comparison fields: 5 of 116
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Reproductive Medicine 1.3k
  • Genetics 1.6k
  • Pathology and Forensic Medicine 854
  • Psychiatry and Mental health 707
Replace Stephanie S. Faubion with:
Stephanie S. Faubion United States
Wulf H. Utian United States
JoAnn V. Pinkerton United States
Lynne T. Shuster United States
Philip M. Sarrel United States
Marco Gambacciani Italy
Margaret Rees United Kingdom
David Sturdee United Kingdom
Howard A. Zacur United States
Lila E. Nachtigall United States
Nick Panay relative to Stephanie S. Faubion United States Stephanie S. Faubion's profile →
Citations per field
00.5×3.6×
Stephanie S. Faubion · 1×
Citations per year

Countries citing papers authored by Nick Panay

Since Specialization
Citations

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

Fields of papers citing papers by Nick Panay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20252
4 20250
5 202420
6 202414
7 202421
8 20231
9 202364
10 20231
11 20222
12 20211
13 2020149
14 201832
15 20149
16 201437
17 2013204
18 201395
19 20136
20 20042

About Nick Panay

Nick Panay is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 117 papers that have together received 4.8k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (76 papers), Estrogen and related hormone effects (47 papers), Endometriosis Research and Treatment (32 papers), Ovarian function and disorders (23 papers), Phytoestrogen effects and research (17 papers), Menstrual Health and Disorders (13 papers), Reproductive Biology and Fertility (12 papers) and Sexual function and dysfunction studies (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Reproductive Medicine (1.3k citations), Genetics (1.6k citations), Pathology and Forensic Medicine (854 citations) and Psychiatry and Mental health (707 citations). Nick Panay has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Rod Baber, David Sturdee, Anna Fenton, Rossella E. Nappi, Kate Maclaran, Martire Particco, Santiago Palacios, David F. Edwards, Haitham Hamoda and Emmanuel Kalu. Their work appears in journals such as Climacteric, Maturitas, Menopause The Journal of The North American Menopause Society, Journal of Family Planning and Reproductive Health Care and 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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