Meiying Song

27 papers and 594 indexed citations i.

About

Meiying Song is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Meiying Song has authored 27 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Immunology. Recurrent topics in Meiying Song’s work include Cancer-related gene regulation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Meiying Song is often cited by papers focused on Cancer-related gene regulation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Meiying Song collaborates with scholars based in South Korea, China and United States. Meiying Song's co-authors include Hoguen Kim, Tae Ho Hong, In Seok Lee, Seung Bae Yoon, Moon Hyung Choi, Hyunki Kim, Nara Shin, Myung Ah Lee, Kyungjin Lee and Jong Shin Yoo and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Meiying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meiying Song

Since Specialization
Citations

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