Xiaoli Ji
About
Xiaoli Ji is a scholar working on Molecular Biology, Materials Chemistry and Genetics.
According to data from OpenAlex, Xiaoli Ji has authored 28 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Genetics. Recurrent topics in Xiaoli Ji’s work include Pluripotent Stem Cells Research (5 papers), Nanoparticles: synthesis and applications (4 papers) and Renal and related cancers (4 papers). Xiaoli Ji is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Nanoparticles: synthesis and applications (4 papers) and Renal and related cancers (4 papers). Xiaoli Ji collaborates with scholars based in China and United States. Xiaoli Ji's co-authors include Yankai Xia, Zhilei Mao, Minjian Chen, Mengmeng Yao and Xinru Wang and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Xiaoli Ji
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 Xiaoli Ji. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Ji may publish in the future.
Countries citing papers authored by Xiaoli Ji
Since SpecializationCitations
This map shows the geographic impact of Xiaoli Ji'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 Xiaoli Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ji more than expected).
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