Long Fang

About

Long Fang is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Long Fang has authored 20 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Cancer Research. Recurrent topics in Long Fang’s work include Metabolism, Diabetes, and Cancer (5 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Long Fang is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Circular RNAs in diseases (2 papers) and MicroRNA in disease regulation (2 papers). Long Fang collaborates with scholars based in China, United States and United Kingdom. Long Fang's co-authors include Chun Gao, Shukun Yao, Hong-Chuan Zhao and Shiyu Du and has published in prestigious journals such as Nature Communications, PLoS ONE and Advanced Science.

In The Last Decade

Fields of papers citing papers by Long Fang

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

Countries citing papers authored by Long Fang

Since Specialization

Citations

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

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