María E. Ayala

421 citations
16 papers · 310 · h-index 9

Impact in

Papers in

María E. Ayala

15 papers receiving 305 citations

Peers

María E. Ayala
Comparison fields: 5 of 67
  • Reproductive Medicine 114
  • Behavioral Neuroscience 22
  • Public Health, Environmental and Occupational Health 137
  • Endocrinology 10
  • Developmental Neuroscience 8
Replace Daniel B.C. Queiróz with:
Daniel B.C. Queiróz Brazil
Heather Talbott United States
Naiara Agirregoitia Spain
Ch. Jean‐Faucher France
Cecilia Garcia‐Rudaz United States
Myriam Forneris Argentina
Mauro S. B. Silva France
Haicui Wu China
N. Kumar United States
Nobuyuki Masumoto Japan
María E. Ayala relative to Daniel B.C. Queiróz Brazil Daniel B.C. Queiróz's profile →
Citations per field
00.5×4.7×
Daniel B.C. Queiróz · 1×
Citations per year

Countries citing papers authored by María E. Ayala

Since Specialization
Citations

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

Fields of papers citing papers by María E. Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María E. Ayala. 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 María E. Ayala. The network helps show where María E. Ayala may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200569
2 200356
3 200540
4 200228
5 200527
6 200826
7 201214
8 201812
9 199811
10 20188
11 20216
12 20155
13 20234
14 20233
15 20231
16 20250

About María E. Ayala

María E. Ayala is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Social Psychology and Behavioral Neuroscience, having authored 16 papers that have together received 310 indexed citations. Recurring topics across this work include Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (6 papers), Ovarian function and disorders (5 papers), Hypothalamic control of reproductive hormones (4 papers), Reproductive biology and impacts on aquatic species (2 papers), Pluripotent Stem Cells Research (2 papers), Stress Responses and Cortisol (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Reproductive Medicine (114 citations), Behavioral Neuroscience (22 citations), Public Health, Environmental and Occupational Health (137 citations), Endocrinology (10 citations) and Developmental Neuroscience (8 citations). María E. Ayala has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Roberto Domı́nguez, Antonín Bukovský, Michael R. Caudle, Jay Wimalasena, Marta Svetlikova, Andrés Martínez, Robert F. Elder, Mario Altamirano‐Lozano, Teresa I. Fortoul van der Goes and Pleas Copas. Their work appears in journals such as Cytometry Part A, Reproduction Fertility and Development, Reproductive Biology and Endocrinology, Systems Biology in Reproductive Medicine and Steroids.

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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