Yan Yan

About

Yan Yan is a scholar working on Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yan Yan has authored 99 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 25 papers in Cell Biology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yan Yan’s work include Hippo pathway signaling and YAP/TAZ (8 papers), S100 Proteins and Annexins (5 papers) and Cellular Mechanics and Interactions (5 papers). Yan Yan is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (8 papers), S100 Proteins and Annexins (5 papers) and Cellular Mechanics and Interactions (5 papers). Yan Yan collaborates with scholars based in China, United States and Hong Kong. Yan Yan's co-authors include Lian Gu, Li Su, Guangliang Wu, Baoyun Liang and Juanjuan Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

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

Countries citing papers authored by Yan Yan

Since Specialization

Citations

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

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