Li Lan
About
Li Lan is a scholar working on Molecular Biology, Oncology and Cancer Research.
According to data from OpenAlex, Li Lan has authored 146 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 33 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Li Lan’s work include DNA Repair Mechanisms (67 papers), PARP inhibition in cancer therapy (20 papers) and CRISPR and Genetic Engineering (19 papers). Li Lan is often cited by papers focused on DNA Repair Mechanisms (67 papers), PARP inhibition in cancer therapy (20 papers) and CRISPR and Genetic Engineering (19 papers). Li Lan collaborates with scholars based in United States, China and Japan. Li Lan's co-authors include Akira Yasui, Satoshi Nakajima, Arthur S. Levine, Leizhen Wei and Lee Zou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
In The Last Decade
Fields of papers citing papers by Li Lan
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 Li Lan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Lan may publish in the future.
Countries citing papers authored by Li Lan
Since SpecializationCitations
This map shows the geographic impact of Li Lan'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 Li Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lan more than expected).
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