María Pía de la Maza

70 papers and 1.8k indexed citations i.

About

María Pía de la Maza is a scholar working on Physiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, María Pía de la Maza has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Physiology, 11 papers in Surgery and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in María Pía de la Maza’s work include Nutrition and Health in Aging (20 papers), Body Composition Measurement Techniques (13 papers) and Diet and metabolism studies (11 papers). María Pía de la Maza is often cited by papers focused on Nutrition and Health in Aging (20 papers), Body Composition Measurement Techniques (13 papers) and Diet and metabolism studies (11 papers). María Pía de la Maza collaborates with scholars based in Chile, United States and Mexico. María Pía de la Maza's co-authors include Sandra Hirsch, Daniel Bunout, Gladys Barrera, Laura Leiva, Vivien Gattás, Jaime Uribarri, Ma. Eugenia Garay‐Sevilla, Armando Rojas, Marcus Petermann and Claudia Luévano‐Contreras and has published in prestigious journals such as Food Chemistry, Journal of Nutrition and Journal of Cellular Biochemistry.

In The Last Decade

Co-authorship network of co-authors of María Pía de la Maza i

Fields of papers citing papers by María Pía de la Maza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Pía de la Maza. 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 Pía de la Maza. The network helps show where María Pía de la Maza may publish in the future.

Countries citing papers authored by María Pía de la Maza

Since Specialization
Citations

This map shows the geographic impact of María Pía de la Maza'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 Pía de la Maza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Pía de la Maza 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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