Song Han

5 papers and 283 indexed citations i.

About

Song Han is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Song Han has authored 5 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Song Han’s work include Protein Degradation and Inhibitors (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). Song Han is often cited by papers focused on Protein Degradation and Inhibitors (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). Song Han collaborates with scholars based in United States, Japan and South Korea. Song Han's co-authors include Emily H. Cheng, James J. Hsieh, Yogesh Tengarai Ganesan, Kota Ishizawa, Kwanghee Kim, Mark G. Kris, Yiyu Dong, Akane Inoue‐Yamauchi, Matthew D. Hellmann and M. Catherine Pietanza and has published in prestigious journals such as Nature Communications, Cancer Cell and FEBS Letters.

In The Last Decade

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

Fields of papers citing papers by Song Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Han

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025