Song-Guang Ren

36 papers and 1.5k indexed citations i.

About

Song-Guang Ren is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Song-Guang Ren has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Song-Guang Ren’s work include Pituitary Gland Disorders and Treatments (23 papers), Growth Hormone and Insulin-like Growth Factors (23 papers) and Neuroendocrine Tumor Research Advances (14 papers). Song-Guang Ren is often cited by papers focused on Pituitary Gland Disorders and Treatments (23 papers), Growth Hormone and Insulin-like Growth Factors (23 papers) and Neuroendocrine Tumor Research Advances (14 papers). Song-Guang Ren collaborates with scholars based in United States, China and Switzerland. Song-Guang Ren's co-authors include Шломо Мелмед, Anat Ben-Shlomo, Michael D. Culler, Cuiqi Zhou and Run Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

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

Countries citing papers authored by Song-Guang Ren

Since Specialization
Citations

This map shows the geographic impact of Song-Guang 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-Guang 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-Guang Ren more than expected).

Rankless by CCL
2025