Gang Fu

About

Gang Fu is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Gang Fu has authored 28 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Biotechnology. Recurrent topics in Gang Fu’s work include Bacterial Genetics and Biotechnology (9 papers), Enzyme Production and Characterization (5 papers) and Bacteriophages and microbial interactions (4 papers). Gang Fu is often cited by papers focused on Bacterial Genetics and Biotechnology (9 papers), Enzyme Production and Characterization (5 papers) and Bacteriophages and microbial interactions (4 papers). Gang Fu collaborates with scholars based in China, United States and United Kingdom. Gang Fu's co-authors include Dawei Zhang, Dawei Zhang, Jingqi Chen, Jianping Wen and Huina Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

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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