Gang Fu

About

Gang Fu is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Gang Fu has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Cell Biology and 14 papers in Genetics. Recurrent topics in Gang Fu’s work include Genetic and Kidney Cyst Diseases (13 papers), Microtubule and mitosis dynamics (9 papers) and Protist diversity and phylogeny (7 papers). Gang Fu is often cited by papers focused on Genetic and Kidney Cyst Diseases (13 papers), Microtubule and mitosis dynamics (9 papers) and Protist diversity and phylogeny (7 papers). Gang Fu collaborates with scholars based in China, United States and Japan. Gang Fu's co-authors include Daniela Nicastro, Hongjuan Cui, Aishu Ren, Jianting Yao and Sai‐Juan Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Fields of papers citing papers by Gang 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 Gang Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Fu may publish in the future.

Countries citing papers authored by Gang Fu

Since Specialization

Citations

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

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