Hai Song

42 papers and 2.6k indexed citations i.

About

Hai Song is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Hai Song has authored 42 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Hai Song’s work include Hippo pathway signaling and YAP/TAZ (6 papers), Lung Cancer Research Studies (5 papers) and Fibroblast Growth Factor Research (5 papers). Hai Song is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (6 papers), Lung Cancer Research Studies (5 papers) and Fibroblast Growth Factor Research (5 papers). Hai Song collaborates with scholars based in China, United States and Japan. Hai Song's co-authors include Yingzi Yang, Philipp Andre, Bo Gao, Lilia Topol, Jianxin Hu, Lisa Garrett, Erica Yao, Chuwen Lin, Pao‐Tien Chuang and Rhodora Gacayan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Hai Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Song

Since Specialization
Citations

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