Fan
About
Fan is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering.
According to data from OpenAlex, Fan has authored 52 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 6 papers in Biomedical Engineering. Recurrent topics in Fan’s work include Cervical Cancer and HPV Research (3 papers), Rice Cultivation and Yield Improvement (3 papers) and Tribology and Wear Analysis (3 papers). Fan is often cited by papers focused on Cervical Cancer and HPV Research (3 papers), Rice Cultivation and Yield Improvement (3 papers) and Tribology and Wear Analysis (3 papers). Fan collaborates with scholars based in China, Germany and Hong Kong. Fan's co-authors include Jian JIAN, Ning, Fang, Shen Gao and Luo and has published in prestigious journals such as Langmuir, International Journal of Nanomedicine and International Journal of Molecular Medicine.
In The Last Decade
Fields of papers citing papers by 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 Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fan may publish in the future.
Countries citing papers authored by Fan
Since SpecializationCitations
This map shows the geographic impact of 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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan more than expected).
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