Ting Song

26 papers and 524 indexed citations i.

About

Ting Song is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Ting Song has authored 26 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Biomedical Engineering. Recurrent topics in Ting Song’s work include Advanced biosensing and bioanalysis techniques (10 papers), SARS-CoV-2 detection and testing (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Ting Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), SARS-CoV-2 detection and testing (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Ting Song collaborates with scholars based in China and Hong Kong. Ting Song's co-authors include Yanling Song, Chaoyong Yang, Miao Sun, Shuang Wan, Honglin Chen, Siwen Liu, Yao Lu, Jun Zhou, Xuemei Li and Xinyu Wei and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Ting Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Song

Since Specialization
Citations

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