Mingda Yan

About

Mingda Yan is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Mingda Yan has authored 19 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Mingda Yan’s work include Peroxisome Proliferator-Activated Receptors (5 papers), Sphingolipid Metabolism and Signaling (3 papers) and Caveolin-1 and cellular processes (3 papers). Mingda Yan is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Sphingolipid Metabolism and Signaling (3 papers) and Caveolin-1 and cellular processes (3 papers). Mingda Yan collaborates with scholars based in United States, South Korea and Italy. Mingda Yan's co-authors include Muralidharan Jayaraman, Danny N. Dhanasekaran, Yong Sang Song, Ji Hee Ha and Rangasudhagar Radhakrishnan and has published in prestigious journals such as The Journal of Cell Biology, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Fields of papers citing papers by Mingda Yan

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

Countries citing papers authored by Mingda Yan

Since Specialization

Citations

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

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