Kevin Song

174 papers and 2.5k indexed citations i.

About

Kevin Song is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Kevin Song has authored 174 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Hematology, 90 papers in Oncology and 66 papers in Molecular Biology. Recurrent topics in Kevin Song’s work include Multiple Myeloma Research and Treatments (87 papers), Protein Degradation and Inhibitors (45 papers) and Cancer Treatment and Pharmacology (36 papers). Kevin Song is often cited by papers focused on Multiple Myeloma Research and Treatments (87 papers), Protein Degradation and Inhibitors (45 papers) and Cancer Treatment and Pharmacology (36 papers). Kevin Song collaborates with scholars based in Canada, United States and France. Kevin Song's co-authors include Donna E. Hogge, Donna L. Forrest, Cynthia L. Toze, John D. Shepherd, Thomas J. Nevill, Nelson Leung, Michael J. Barnett, Heather J. Sutherland, Stephen H. Nantel and Joseph M. Connors and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

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

Fields of papers citing papers by Kevin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Song. 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 Kevin Song. The network helps show where Kevin Song may publish in the future.

Countries citing papers authored by Kevin Song

Since Specialization
Citations

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