E. Macas

11 papers receiving 453 citations

Peers

E. Macas
Comparison fields: 5 of 58
  • Reproductive Medicine 152
  • Public Health, Environmental and Occupational Health 202
  • Agronomy and Crop Science 53
  • Physiology 113
  • Pediatrics, Perinatology and Child Health 73
Replace Kenichi Tamate with:
Kenichi Tamate Japan
Liora Shukovski Australia
JP Ryan United States
Rita Basuray United States
Maximiliano Cella Argentina
Tawfik H. Rizkallah United States
R. Welschen Netherlands
Jorge Z. Granados United States
Gil A. Gross United States
Erica D. Louden United States
E. Macas relative to Kenichi Tamate Japan Kenichi Tamate's profile →
Citations per field
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Citations per year

Countries citing papers authored by E. Macas

Since Specialization
Citations

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

Fields of papers citing papers by E. Macas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside E. Macas, 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 E. Macas Line = papers co-authored together E. Macas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1994145
2 199651
3 199650
4 199648
5 199046
6 201344
7 199439
8 199435
9 198819
10 19888
11 19922

About E. Macas

E. Macas is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 11 papers that have together received 487 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Ovarian function and disorders (4 papers), Prenatal Screening and Diagnostics (3 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Pluripotent Stem Cells Research (1 paper), Cardiovascular Issues in Pregnancy (1 paper), Medical and Health Sciences Research (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Reproductive Medicine (152 citations), Public Health, Environmental and Occupational Health (202 citations), Agronomy and Crop Science (53 citations), Physiology (113 citations) and Pediatrics, Perinatology and Child Health (73 citations). E. Macas has collaborated with scholars based in Switzerland, Germany and Croatia. Frequent co-authors include Marinella Rosselli, Paul J. Keller, Bruno Imthurn, Raghvendra Krishna Dubey, Hunter K. Walt, David M. Fink, Urs Lauper, David Scheiner, Patrick Imesch and Daniel A. Fink. Their work appears in journals such as Human Reproduction, European Journal of Obstetrics & Gynecology and Reproductive Biology, Biochemical and Biophysical Research Communications, Molecular Human Reproduction and Journal of Ovarian Research.

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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