Kai Fan

About

Kai Fan is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Kai Fan has authored 62 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Kai Fan’s work include Tea Polyphenols and Effects (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (6 papers). Kai Fan is often cited by papers focused on Tea Polyphenols and Effects (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (6 papers). Kai Fan collaborates with scholars based in China, Cayman Islands and United States. Kai Fan's co-authors include Zhaotang Ding, Xiaochang Wang, Dongmei Fan, Bufu Tang, Jinyu Zhu, Qiaoyou Weng, Meiya Liu, Yuanzhi Shi, Jiansong Ji and Liyun Zheng and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Water Research.

In The Last Decade

Co-authorship network of co-authors of Kai Fan i

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Fields of papers citing papers by Kai Fan

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

Countries citing papers authored by Kai Fan

Since Specialization

Citations

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

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