Maria Yang

About

Maria Yang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Maria Yang has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Physiology. Recurrent topics in Maria Yang’s work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Maria Yang is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Maria Yang collaborates with scholars based in United States, Canada and Australia. Maria Yang's co-authors include Keith T. Demarest, Dennis J. Henner, Patricia D. Pelton and Philip J. Rybczynski and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Journal of Molecular Biology.

In The Last Decade

Fields of papers citing papers by Maria Yang

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 Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maria Yang may publish in the future.

Countries citing papers authored by Maria Yang

Since Specialization

Citations

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

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