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 Growth Hormone and Insulin-like Growth Factors (23 papers), Pituitary Gland Disorders and Treatments (23 papers) and Neuroendocrine Tumor Research Advances (14 papers). Song-Guang Ren is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (23 papers), Pituitary Gland Disorders and Treatments (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, Run Yu, Michael D. Culler, Kiwon Kim, Odelia Cooper, Robert Murray, Hidenori Fukuoka, Cuiqi Zhou and Kolja Wawrowsky 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

Co-authorship network of co-authors of Song-Guang Ren i

Fields of papers citing papers by Song-Guang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Guang Ren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Song-Guang Ren. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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