Maria Dao

16 papers and 326 indexed citations i.

About

Maria Dao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maria Dao has authored 16 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maria Dao’s work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Maria Dao is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Maria Dao collaborates with scholars based in United States and Argentina. Maria Dao's co-authors include Kirill A. Martemyanov, Brian S. Muntean, Stefano Zucca, Cesare Orlandi, Laurie P. Sutton, Brock Grill, Dandan Wang, Randy Blakely, Hideki Iwamoto and Caitlin Johnston and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Maria Dao i

Fields of papers citing papers by Maria Dao

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Maria Dao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maria Dao may publish in the future.

Countries citing papers authored by Maria Dao

Since Specialization
Citations

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

Rankless by CCL
2025