Song Ren

29 papers and 720 indexed citations i.

About

Song Ren is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Song Ren has authored 29 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Immunology. Recurrent topics in Song Ren’s work include Chemotherapy-induced organ toxicity mitigation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and CAR-T cell therapy research (3 papers). Song Ren is often cited by papers focused on Chemotherapy-induced organ toxicity mitigation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and CAR-T cell therapy research (3 papers). Song Ren collaborates with scholars based in United States, United Kingdom and China. Song Ren's co-authors include John T. Slattery, John G. Matthews, Yamo Deniz, Howard Fox, Charles L. Johnson, L Brookman, Günther Hochhaus, Thomas F. Kalhorn, Glenn D. Braunstein and David W. Boulton and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Clinical Pharmacology & Therapeutics.

In The Last Decade

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

Fields of papers citing papers by Song Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song 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 Ren. 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).

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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2025