Shan Ren

About

Shan Ren is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Shan Ren has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hepatology, 10 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Shan Ren’s work include Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (10 papers) and Hepatitis Viruses Studies and Epidemiology (5 papers). Shan Ren is often cited by papers focused on Hepatitis B Virus Studies (10 papers), Hepatitis C virus research (10 papers) and Hepatitis Viruses Studies and Epidemiology (5 papers). Shan Ren collaborates with scholars based in China and United States. Shan Ren's co-authors include Junfeng Lu, Lina Ma, Xian‐Zheng Zhang, Xuejun Jiang and Xinyue Chen and has published in prestigious journals such as PLoS ONE, Hepatology and Frontiers in Immunology.

In The Last Decade

Fields of papers citing papers by Shan 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 Shan Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shan Ren may publish in the future.

Countries citing papers authored by Shan Ren

Since Specialization

Citations

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

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