Ke Wan
About
Ke Wan is a scholar working on Molecular Biology, Cell Biology and Aging.
According to data from OpenAlex, Ke Wan has authored 14 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Aging. Recurrent topics in Ke Wan’s work include DNA Repair Mechanisms (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and CRISPR and Genetic Engineering (2 papers). Ke Wan is often cited by papers focused on DNA Repair Mechanisms (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and CRISPR and Genetic Engineering (2 papers). Ke Wan collaborates with scholars based in China, United States and Taiwan. Ke Wan's co-authors include Ming Lei, Yuting Yang, Bingbing Wan, Yong Chen and Neal F. Lue and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
In The Last Decade
Fields of papers citing papers by Ke Wan
Since SpecializationEngineeringComputer 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 Ke Wan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ke Wan may publish in the future.
Countries citing papers authored by Ke Wan
Since SpecializationCitations
This map shows the geographic impact of Ke 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 Ke Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wan more than expected).
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