Fen Wan
About
Fen Wan is a scholar working on Molecular Biology, Endocrinology and Biomedical Engineering.
According to data from OpenAlex, Fen Wan has authored 31 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Endocrinology and 6 papers in Biomedical Engineering. Recurrent topics in Fen Wan’s work include Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (5 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Fen Wan is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (5 papers) and Microbial Fuel Cells and Bioremediation (5 papers). Fen Wan collaborates with scholars based in China, United States and Germany. Fen Wan's co-authors include Haichun Gao, Benjamin Chu, Weidong He, Qixia Luo and Jun Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Fen Wan
Since SpecializationEngineeringComputer 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 Fen Wan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fen Wan may publish in the future.
Countries citing papers authored by Fen Wan
Since SpecializationCitations
This map shows the geographic impact of Fen Wan'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 Fen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Wan more than expected).
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