Kai Li
About
Kai Li is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Kai Li has authored 105 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Kai Li’s work include Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Kai Li is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Kai Li collaborates with scholars based in China, United States and Japan. Kai Li's co-authors include Chunyuan Jin, Hongxia Chen, Danqi Chen, Lei Fang and Kwangnak Koh and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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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