Hoseok Song

16 papers and 869 indexed citations i.

About

Hoseok Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hoseok Song has authored 16 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Hoseok Song’s work include RNA modifications and cancer (4 papers), RNA Interference and Gene Delivery (4 papers) and Epigenetics and DNA Methylation (4 papers). Hoseok Song is often cited by papers focused on RNA modifications and cancer (4 papers), RNA Interference and Gene Delivery (4 papers) and Epigenetics and DNA Methylation (4 papers). Hoseok Song collaborates with scholars based in South Korea, United States and Germany. Hoseok Song's co-authors include Yang Xu, Monica Hollstein, De‐Pei Liu, Frederick W. Alt, Craig H. Bassing, Jian Kang, David O. Ferguson, Mark Eckersdorff, Zhigang He and Vuk Koprivica and has published in prestigious journals such as Nucleic Acids Research, Nature Cell Biology and Molecular and Cellular Biology.

In The Last Decade

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

Fields of papers citing papers by Hoseok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hoseok Song

Since Specialization
Citations

This map shows the geographic impact of Hoseok 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 Hoseok Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoseok 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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2025