Kai Feng

About

Kai Feng is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Kai Feng has authored 74 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Ecology, 42 papers in Molecular Biology and 15 papers in Plant Science. Recurrent topics in Kai Feng’s work include Microbial Community Ecology and Physiology (43 papers), Gut microbiota and health (20 papers) and Genomics and Phylogenetic Studies (12 papers). Kai Feng is often cited by papers focused on Microbial Community Ecology and Physiology (43 papers), Gut microbiota and health (20 papers) and Genomics and Phylogenetic Studies (12 papers). Kai Feng collaborates with scholars based in China, United States and Germany. Kai Feng's co-authors include Ye Deng, Zhaojing Zhang, Shuzhen Li, Shang Wang and Ziyan Wei and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and Water Research.

In The Last Decade

Fields of papers citing papers by Kai Feng

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

Countries citing papers authored by Kai Feng

Since Specialization

Citations

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

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