D. Everard

401 citations
14 papers · 336 · h-index 9

Impact in

Papers in

D. Everard

14 papers receiving 311 citations

Peers

D. Everard
Comparison fields: 5 of 70
  • Reproductive Medicine 162
  • Endocrine and Autonomic Systems 67
  • Behavioral Neuroscience 32
  • Nutrition and Dietetics 48
  • Public Health, Environmental and Occupational Health 77
Replace Rosa María Vigueras‐Villaseñor with:
Rosa María Vigueras‐Villaseñor Mexico
Joseph Rogers United States
Daniel M. Linkie United States
B. Barcikowski Poland
Barbara Shirley United States
G Siawrys Poland
B. C. Bruot United States
Mia J.T. Engelbregt Netherlands
Ganbat Gereltsetseg Japan
B. E. Piacsek United States
D. Everard relative to Rosa María Vigueras‐Villaseñor Mexico Rosa María Vigueras‐Villaseñor's profile →
Citations per field
00.5×1.5×2.1×
Rosa María Vigueras‐Villaseñor · 1×
Citations per year

Countries citing papers authored by D. Everard

Since Specialization
Citations

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

Fields of papers citing papers by D. Everard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside D. Everard, 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 D. Everard Line = papers co-authored together D. Everard links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198983
2 198259
3 198342
4 198232
5 197929
6 198128
7 197925
8 19969
9 19848
10 19856
11
The correlation between LH determination in the urine (Hi-Gonavis) and serum LH, FSH, oestradiol, progesterone, prolactin levels, and vaginal cytology at midcycle.
19835
12 19825
13 19824
14 19831

About D. Everard

D. Everard is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics, having authored 14 papers that have together received 336 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (6 papers), Neuropeptides and Animal Physiology (3 papers), Regulation of Appetite and Obesity (3 papers), Ovarian function and disorders (3 papers), Sperm and Testicular Function (2 papers), Menopause: Health Impacts and Treatments (2 papers), Hormonal and reproductive studies (2 papers) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Reproductive Medicine (162 citations), Endocrine and Autonomic Systems (67 citations), Behavioral Neuroscience (32 citations), Nutrition and Dietetics (48 citations) and Public Health, Environmental and Occupational Health (77 citations). D. Everard has collaborated with scholars based in United Kingdom. Frequent co-authors include Catherine Wilson, Fadi R. Abou-Shakra, Neil Ward, A. J. Thody, C. A. Wilson, R. Schoental, R A Batt, M. C. Wilkinson, Glenda Gillies and David R. Hole. Their work appears in journals such as Reproduction, BJOG An International Journal of Obstetrics & Gynaecology, Clinical Endocrinology, Psychopharmacology and Acta Obstetricia Et Gynecologica Scandinavica.

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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