Dan Li
About
Dan Li is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Dan Li has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Cancer Research. Recurrent topics in Dan Li’s work include Ubiquitin and proteasome pathways (14 papers), CRISPR and Genetic Engineering (9 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Dan Li is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), CRISPR and Genetic Engineering (9 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Dan Li collaborates with scholars based in China, United States and Hong Kong. Dan Li's co-authors include Lijian Hui, Qiangsong Tong, Jin Cen, Marlene Rabinovitch and Liduan Zheng and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
In The Last Decade
Fields of papers citing papers by Dan 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 Dan Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dan Li may publish in the future.
Countries citing papers authored by Dan Li
Since SpecializationCitations
This map shows the geographic impact of Dan 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 Dan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Li more than expected).
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