Li Ren

About

Li Ren is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Li Ren has authored 32 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in Li Ren’s work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Li Ren is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Li Ren collaborates with scholars based in China, Canada and United States. Li Ren's co-authors include Duo Zuo, Paola Neri, Nizar J. Bahlis, Kathy Gratton and Peter Duggan and has published in prestigious journals such as Blood, PLoS ONE and Oncogene.

In The Last Decade

Fields of papers citing papers by Li Ren

Since Specialization

EngineeringComputer 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 Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Ren may publish in the future.

Countries citing papers authored by Li Ren

Since Specialization

Citations

This map shows the geographic impact of Li 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 Li Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ren more than expected).

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