Dan Feng

101 papers and 2.8k indexed citations i.

About

Dan Feng is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Dan Feng has authored 101 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 22 papers in Surgery and 21 papers in Epidemiology. Recurrent topics in Dan Feng’s work include Cholesterol and Lipid Metabolism (8 papers), MicroRNA in disease regulation (7 papers) and Sepsis Diagnosis and Treatment (7 papers). Dan Feng is often cited by papers focused on Cholesterol and Lipid Metabolism (8 papers), MicroRNA in disease regulation (7 papers) and Sepsis Diagnosis and Treatment (7 papers). Dan Feng collaborates with scholars based in China, United States and Sweden. Dan Feng's co-authors include Jun Zou, Yanhong Jia, Lixin Xie, Haiyan Mai and Longxiang Su and has published in prestigious journals such as Journal of Clinical Oncology, Environmental Science & Technology and PLoS ONE.

In The Last Decade

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

Countries citing papers authored by Dan Feng

Since Specialization
Citations

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

Rankless by CCL
2025