Kai Li
About
Kai Li is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Kai Li has authored 195 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 94 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Kai Li’s work include Cancer-related molecular mechanisms research (52 papers), RNA modifications and cancer (45 papers) and MicroRNA in disease regulation (42 papers). Kai Li is often cited by papers focused on Cancer-related molecular mechanisms research (52 papers), RNA modifications and cancer (45 papers) and MicroRNA in disease regulation (42 papers). Kai Li collaborates with scholars based in China, United States and Australia. Kai Li's co-authors include Huanjie Yang, Qingzhu Yang, Yu Mei and Xuemei Huang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
In The Last Decade
Fields of papers citing papers by Kai Li
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 Kai Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Li may publish in the future.
Countries citing papers authored by Kai Li
Since SpecializationCitations
This map shows the geographic impact of Kai Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Li more than expected).
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