Man-Gen Song

12 papers and 520 indexed citations i.

About

Man-Gen Song is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Man-Gen Song has authored 12 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Man-Gen Song’s work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). Man-Gen Song is often cited by papers focused on RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). Man-Gen Song collaborates with scholars based in United States, China and Japan. Man-Gen Song's co-authors include Megerditch Kiledjian, You Li, Li You, Guoqiang Chen, Ronald P. Hart, Ewa Grudzien‐Nogalska, Xinfu Jiao, Xiaorong Pan, Sai‐Juan Chen and Jianhua Tong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular Cell.

In The Last Decade

Co-authorship network of co-authors of Man-Gen Song i

Fields of papers citing papers by Man-Gen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Man-Gen Song

Since Specialization
Citations

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