Xiaoli Ren
About
Xiaoli Ren is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases.
According to data from OpenAlex, Xiaoli Ren has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cancer Research and 4 papers in Infectious Diseases. Recurrent topics in Xiaoli Ren’s work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (4 papers). Xiaoli Ren is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (4 papers). Xiaoli Ren collaborates with scholars based in China, Japan and Russia. Xiaoli Ren's co-authors include Yanqing Ding, Liang Li, Wenting Liao, Feifei Wang and Zhicheng Zeng and has published in prestigious journals such as Nature Communications, Gastroenterology and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Xiaoli Ren
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 Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Ren may publish in the future.
Countries citing papers authored by Xiaoli Ren
Since SpecializationCitations
This map shows the geographic impact of Xiaoli Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ren more than expected).
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