Li Fang
About
Li Fang is a scholar working on Molecular Biology, Cancer Research and Genetics.
According to data from OpenAlex, Li Fang has authored 130 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 35 papers in Cancer Research and 22 papers in Genetics. Recurrent topics in Li Fang’s work include Cancer-related molecular mechanisms research (23 papers), RNA modifications and cancer (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Li Fang is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), RNA modifications and cancer (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Li Fang collaborates with scholars based in China, United States and Canada. Li Fang's co-authors include Mingxing Chu, Tao Feng, Guiling Cao, Ran Di and Chandra Yallampalli and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
In The Last Decade
Fields of papers citing papers by Li Fang
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 Li Fang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Fang may publish in the future.
Countries citing papers authored by Li Fang
Since SpecializationCitations
This map shows the geographic impact of Li Fang'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 Li Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fang more than expected).
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