Diana Ayán

21 papers receiving 301 citations

Peers

Diana Ayán
Comparison fields: 5 of 49
  • Endocrinology, Diabetes and Metabolism 112
  • Toxicology 20
  • Genetics 157
  • Pharmacology 32
  • Reproductive Medicine 30
Replace Gudrun Reddersen with:
Gudrun Reddersen Germany
Edward Ruby United States
Lisa Borges-Marcucci Canada
Lars-Göran Bladh Sweden
Holger Sköldefors Sweden
Mary D. Adrian United States
Bolette Husman Sweden
Achille Panzeri Italy
T. Zaccheo Italy
A. E. Lykkesfeldt Denmark
Diana Ayán relative to Gudrun Reddersen Germany Gudrun Reddersen's profile →
Citations per field
00.5×10×13×
Gudrun Reddersen · 1×
Citations per year

Countries citing papers authored by Diana Ayán

Since Specialization
Citations

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

Fields of papers citing papers by Diana Ayán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diana Ayán, 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 Diana Ayán Line = papers co-authored together Diana Ayán 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 201148
2 201240
3 201328
4 201226
5 201424
6 202320
7 201120
8 201517
9 201714
10 201713
11 201911
12 20219
13 20199
14 20157
15 20186
16 20143
17 20112
18
Dedicated Bifurcation Stents for Coronary Bifurcation Lesions: A Systematic Review and Meta-Analysis of Randomized-Controlled Trials.
20192
19 20241
20 20241

About Diana Ayán

Diana Ayán is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 23 papers that have together received 302 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Hormonal Regulation and Hypertension (7 papers), Steroid Chemistry and Biochemistry (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Acute Ischemic Stroke Management (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Toxicology (20 citations), Genetics (157 citations), Pharmacology (32 citations) and Reproductive Medicine (30 citations). Diana Ayán has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Donald Poirier, René Maltais, Jenny Roy, Patrick Lagüe, Xavier Barbeau, Mamas A. Mamas, Martin Perreault, Sebastián Fridman, Richard Poulin and Rodrigo Bagur. Their work appears in journals such as Cerebrovascular Diseases, Journal of Medicinal Chemistry, The Journal of Steroid Biochemistry and Molecular Biology, Molecular Cancer Therapeutics and ACS Medicinal Chemistry Letters.

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.

Explore authors with similar magnitude of impact