Song Ren

About

Song Ren is a scholar working on Nephrology, Hematology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Song Ren has authored 30 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 7 papers in Hematology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Song Ren’s work include Renal Diseases and Glomerulopathies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Song Ren is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Kidney Disease and Diabetes (4 papers). Song Ren collaborates with scholars based in China, United States and Australia. Song Ren's co-authors include Guisen Li, Saúl Malozowski, Daqing Hong and John T. Slattery and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

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

Countries citing papers authored by Song Ren

Since Specialization

Citations

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

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