Jun Ren
About
Jun Ren is a scholar working on Oncology, Immunology and Molecular Biology.
According to data from OpenAlex, Jun Ren has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 28 papers in Immunology and 20 papers in Molecular Biology. Recurrent topics in Jun Ren’s work include Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Immune Cell Function and Interaction (15 papers). Jun Ren is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Immune Cell Function and Interaction (15 papers). Jun Ren collaborates with scholars based in China, United States and Japan. Jun Ren's co-authors include Xinna Zhou, H. Kim Lyerly, Xiaoli Wang, Lijun Di and Yanhua Yuan and has published in prestigious journals such as Brain Research, Scientific Reports and Clinical Cancer Research.
In The Last Decade
Fields of papers citing papers by Jun 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 Jun Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Ren may publish in the future.
Countries citing papers authored by Jun Ren
Since SpecializationCitations
This map shows the geographic impact of Jun 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 Jun Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ren more than expected).
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