Man Ki Song

53 papers and 898 indexed citations i.

About

Man Ki Song is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Man Ki Song has authored 53 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 21 papers in Immunology and 13 papers in Molecular Biology. Recurrent topics in Man Ki Song’s work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (12 papers) and Immune Cell Function and Interaction (8 papers). Man Ki Song is often cited by papers focused on Influenza Virus Research Studies (12 papers), Respiratory viral infections research (12 papers) and Immune Cell Function and Interaction (8 papers). Man Ki Song collaborates with scholars based in South Korea, China and France. Man Ki Song's co-authors include Jun Chang, Young Chul Sung, Youngjoo Choi, Cheol‐Heui Yun, In Su Cheon, Byoung-Shik Shim, You Suk Suh, Dong Wook Kim, Huan Huu Nguyen and Sung‐Moo Park and has published in prestigious journals such as Nature, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Man Ki Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Man Ki Song

Since Specialization
Citations

This map shows the geographic impact of Man Ki 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 Ki 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 Ki 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