Song Tong

21 papers and 464 indexed citations i.

About

Song Tong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Song Tong has authored 21 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Song Tong’s work include 14-3-3 protein interactions (4 papers), COVID-19 Clinical Research Studies (4 papers) and Ubiquitin and proteasome pathways (3 papers). Song Tong is often cited by papers focused on 14-3-3 protein interactions (4 papers), COVID-19 Clinical Research Studies (4 papers) and Ubiquitin and proteasome pathways (3 papers). Song Tong collaborates with scholars based in China, Hong Kong and United States. Song Tong's co-authors include Sihua Wang, Chuangyan Wu, Miao Yu, Jun Zhang, Jinjun Jiang, Jiuling Chen, Yu Yuan, Su Yuan, Jianjun Wang and Xiong Peng and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Experimental Cell Research.

In The Last Decade

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

Fields of papers citing papers by Song Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Tong

Since Specialization
Citations

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