Cen Wan
About
Cen Wan is a scholar working on Molecular Biology, Aging and Plant Science.
According to data from OpenAlex, Cen Wan has authored 17 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Aging and 3 papers in Plant Science. Recurrent topics in Cen Wan’s work include Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (6 papers) and Gene expression and cancer classification (5 papers). Cen Wan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (6 papers) and Gene expression and cancer classification (5 papers). Cen Wan collaborates with scholars based in United Kingdom, China and Brazil. Cen Wan's co-authors include Alex A. Freitas, David T. Jones, Zhen Huang, Duo Chen and Ting Xue and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Cen 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 Cen Wan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Cen Wan may publish in the future.
Countries citing papers authored by Cen Wan
Since SpecializationCitations
This map shows the geographic impact of Cen 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 Cen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Wan more than expected).
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