Zuohe Song

11 papers and 380 indexed citations i.

About

Zuohe Song is a scholar working on Molecular Biology, Biochemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Zuohe Song has authored 11 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Biochemistry and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Zuohe Song’s work include Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Redox biology and oxidative stress (2 papers). Zuohe Song is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Redox biology and oxidative stress (2 papers). Zuohe Song collaborates with scholars based in United States and Czechia. Zuohe Song's co-authors include Emmanuelle J. Meuillet, Lei Du‐Cuny, Shuxing Zhang, Eugene A. Mash, Garth Powis, Vijay Gokhale, Li Zhou, Nathan T. Ihle, Robert Lemos and Estelle M. Maes and has published in prestigious journals such as Journal of the American Chemical Society, Cancer Research and Experimental Cell Research.

In The Last Decade

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

Fields of papers citing papers by Zuohe Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zuohe Song

Since Specialization
Citations

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