Kan Li
About
Kan Li is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics.
According to data from OpenAlex, Kan Li has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Kan Li’s work include Computational Drug Discovery Methods (5 papers), Cancer-related gene regulation (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Kan Li is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Cancer-related gene regulation (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Kan Li collaborates with scholars based in China, United States and United Kingdom. Kan Li's co-authors include Jian Jin, Xiaomei Lao, Guiqing Liao, Jingyu Zhu and Guang‐sen Zheng and has published in prestigious journals such as Science, Circulation and Nature Communications.
In The Last Decade
Fields of papers citing papers by Kan 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 Kan Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kan Li may publish in the future.
Countries citing papers authored by Kan Li
Since SpecializationCitations
This map shows the geographic impact of Kan 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 Kan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Li more than expected).
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