Jun Wan

170 papers and 4.4k indexed citations i.

About

Jun Wan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Wan has authored 170 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 30 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Jun Wan’s work include Epigenetics and DNA Methylation (23 papers), Cancer-related gene regulation (17 papers) and RNA modifications and cancer (17 papers). Jun Wan is often cited by papers focused on Epigenetics and DNA Methylation (23 papers), Cancer-related gene regulation (17 papers) and RNA modifications and cancer (17 papers). Jun Wan collaborates with scholars based in United States, China and France. Jun Wan's co-authors include Jiang Qian, Sheng Liu, Heng Zhu, Donald J. Zack and Yunlong Liu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Jun Wan

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

Countries citing papers authored by Jun Wan

Since Specialization

Citations

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

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