Nina Pan

About

Nina Pan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nina Pan has authored 8 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nina Pan’s work include Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Congenital heart defects research (1 paper). Nina Pan is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Congenital heart defects research (1 paper). Nina Pan collaborates with scholars based in United States, China and United Kingdom. Nina Pan's co-authors include Xianting Li, Zhenyu Yue, Jinglan Zhang, Brian T. Chait and Songchang Chen and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Nina Pan

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

Countries citing papers authored by Nina Pan

Since Specialization

Citations

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

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