Li Fu

230 papers and 7.9k indexed citations i.

About

Li Fu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Li Fu has authored 230 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 60 papers in Cancer Research and 49 papers in Oncology. Recurrent topics in Li Fu’s work include Cancer-related gene regulation (34 papers), Epigenetics and DNA Methylation (32 papers) and RNA modifications and cancer (31 papers). Li Fu is often cited by papers focused on Cancer-related gene regulation (34 papers), Epigenetics and DNA Methylation (32 papers) and RNA modifications and cancer (31 papers). Li Fu collaborates with scholars based in China, Hong Kong and United States. Li Fu's co-authors include Xin‐Yuan Guan, Yanru Qin, Dan Xie, Leilei Chen and Feng Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Fields of papers citing papers by Li Fu

Since Specialization

EngineeringComputer 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 Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Fu may publish in the future.

Countries citing papers authored by Li Fu

Since Specialization

Citations

This map shows the geographic impact of Li Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fu more than expected).

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