Xiaosa Li
About
Xiaosa Li is a scholar working on Molecular Biology, Genetics and Cancer Research.
According to data from OpenAlex, Xiaosa Li has authored 20 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Xiaosa Li’s work include CRISPR and Genetic Engineering (3 papers), Estrogen and related hormone effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Xiaosa Li is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Estrogen and related hormone effects (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Xiaosa Li collaborates with scholars based in China, Italy and Australia. Xiaosa Li's co-authors include Xiaodong Fu, Tommaso Simoncini, Xingyan Xu, Dongxing Zhu and Qing Yan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.
In The Last Decade
Fields of papers citing papers by Xiaosa 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 Xiaosa Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaosa Li may publish in the future.
Countries citing papers authored by Xiaosa Li
Since SpecializationCitations
This map shows the geographic impact of Xiaosa 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 Xiaosa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosa Li more than expected).
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