Martin Muy-Rivera

14 papers and 413 indexed citations i.

About

Martin Muy-Rivera is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Martin Muy-Rivera has authored 14 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 6 papers in Pediatrics, Perinatology and Child Health and 4 papers in Epidemiology. Recurrent topics in Martin Muy-Rivera’s work include Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (6 papers) and Regulation of Appetite and Obesity (4 papers). Martin Muy-Rivera is often cited by papers focused on Pregnancy and preeclampsia studies (8 papers), Birth, Development, and Health (6 papers) and Regulation of Appetite and Obesity (4 papers). Martin Muy-Rivera collaborates with scholars based in United States, Peru and Zimbabwe. Martin Muy-Rivera's co-authors include Surab Vadachkoria, Michelle A. Williams, Chunfang Qiu, David A. Luthy, Yi Ning, Sixto E. Sánchez, D. A. Luthy, Wendy M. Leisenring, Ihunnaya O. Frederick and Kassam Mahomed and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Martin Muy-Rivera i

Fields of papers citing papers by Martin Muy-Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Muy-Rivera. 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 Martin Muy-Rivera. The network helps show where Martin Muy-Rivera may publish in the future.

Countries citing papers authored by Martin Muy-Rivera

Since Specialization
Citations

This map shows the geographic impact of Martin Muy-Rivera'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 Martin Muy-Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Muy-Rivera 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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