María I. Vacas

46 papers and 1.1k indexed citations i.

About

María I. Vacas is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, María I. Vacas has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrine and Autonomic Systems, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in María I. Vacas’s work include Circadian rhythm and melatonin (24 papers), Stress Responses and Cortisol (6 papers) and Neurobiology and Insect Physiology Research (6 papers). María I. Vacas is often cited by papers focused on Circadian rhythm and melatonin (24 papers), Stress Responses and Cortisol (6 papers) and Neurobiology and Insect Physiology Research (6 papers). María I. Vacas collaborates with scholars based in Argentina, United States and Peru. María I. Vacas's co-authors include Daniel P. Cardinali, María I. Keller Sarmiento, Daniel P. Cardinali, Marta Martinuzzo, Pedro R. Löwenstein, L Carreras, Marta Barontini, Elba N. Pereyra, Sara R. Chiocchio and Juan H. Tramezzani and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of María I. Vacas i

Fields of papers citing papers by María I. Vacas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María I. Vacas

Since Specialization
Citations

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