Mario Vega

23 papers and 305 indexed citations i.

About

Mario Vega is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mario Vega has authored 23 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 11 papers in Pediatrics, Perinatology and Child Health and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mario Vega’s work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (6 papers). Mario Vega is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (10 papers), Ovarian function and disorders (7 papers) and Reproductive Biology and Fertility (6 papers). Mario Vega collaborates with scholars based in United States, Peru and Brazil. Mario Vega's co-authors include Martin D. Keltz, Peter G. McGovern, Erin Moshier, Andrzej Bręborowicz, Daniel E. Stein, Şadıman Kıykaç Altınbaş, Farr Nezhat, Sangita Jindal, Prasoon Verma and Simon Lee and has published in prestigious journals such as Fertility and Sterility, Obstetrical & Gynecological Survey and Reproductive BioMedicine Online.

In The Last Decade

Co-authorship network of co-authors of Mario Vega i

Fields of papers citing papers by Mario Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Vega

Since Specialization
Citations

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

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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2025