Ting Ren

36 papers and 505 indexed citations i.

About

Ting Ren is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Ting Ren has authored 36 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Ting Ren’s work include Computational Drug Discovery Methods (6 papers), Analytical chemistry methods development (5 papers) and RNA Interference and Gene Delivery (4 papers). Ting Ren is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Analytical chemistry methods development (5 papers) and RNA Interference and Gene Delivery (4 papers). Ting Ren collaborates with scholars based in China and Russia. Ting Ren's co-authors include Lijiao Zhao, Rugang Zhong, Guohui Sun, Tengjiao Fan, Haibin Tong, Xiangfu Song, Zhicheng Wang, Tiancheng Lu, Na Zhang and Na Zhang and has published in prestigious journals such as Journal of Hazardous Materials, International Journal of Molecular Sciences and Green Chemistry.

In The Last Decade

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

Fields of papers citing papers by Ting Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Ren

Since Specialization
Citations

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