Xiaodan Fan
About
Xiaodan Fan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics.
According to data from OpenAlex, Xiaodan Fan has authored 65 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 10 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Xiaodan Fan’s work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (9 papers) and Gene expression and cancer classification (9 papers). Xiaodan Fan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (9 papers) and Gene expression and cancer classification (9 papers). Xiaodan Fan collaborates with scholars based in Hong Kong, China and United States. Xiaodan Fan's co-authors include Cong Pian, Jun S. Liu, Shuo Li and Jin Du and has published in prestigious journals such as The Journal of Chemical Physics, Nature Genetics and The Astrophysical Journal.
In The Last Decade
Fields of papers citing papers by Xiaodan Fan
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 Xiaodan Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaodan Fan may publish in the future.
Countries citing papers authored by Xiaodan Fan
Since SpecializationCitations
This map shows the geographic impact of Xiaodan Fan'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 Xiaodan Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Fan more than expected).
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