Peng Chen

180 papers and 3.2k indexed citations i.

About

Peng Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Peng Chen has authored 180 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 25 papers in Computational Theory and Mathematics and 24 papers in Plant Science. Recurrent topics in Peng Chen’s work include Protein Structure and Dynamics (34 papers), Machine Learning in Bioinformatics (28 papers) and Computational Drug Discovery Methods (24 papers). Peng Chen is often cited by papers focused on Protein Structure and Dynamics (34 papers), Machine Learning in Bioinformatics (28 papers) and Computational Drug Discovery Methods (24 papers). Peng Chen collaborates with scholars based in China, United States and Singapore. Peng Chen's co-authors include Bing Wang, Jun Zhang, Stefano Nichele, Jianhua Zhang, Zhong Yin, Chengjun Xie, Jinyan Li, Wenyan Wang, Jie Zhang and Rui Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Applied Physics Letters.

In The Last Decade

Co-authorship network of co-authors of Peng Chen i

Fields of papers citing papers by Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Chen

Since Specialization
Citations

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