Chao Shen

131 total papers · 3.4k total citations
80 papers, 2.2k citations indexed

About

Chao Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Chao Shen has authored 80 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 39 papers in Computational Theory and Mathematics and 17 papers in Materials Chemistry. Recurrent topics in Chao Shen's work include Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (26 papers) and Machine Learning in Materials Science (14 papers). Chao Shen is often cited by papers focused on Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (26 papers) and Machine Learning in Materials Science (14 papers). Chao Shen collaborates with scholars based in China, United States and Macao. Chao Shen's co-authors include Tingjun Hou, Dongsheng Cao, Zhe Wang, Chang‐Yu Hsieh, Zhenhua Wu, Dejun Jiang, Lei Xu, Yu Kang, Xujun Zhang and Ben Liao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chao Shen

77 papers receiving 2.2k citations

Hit Papers

Could graph neural networ... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chao Shen 1.3k 1.3k 609 184 150 80 2.2k
Xutong Li 1.1k 0.8× 1.1k 0.8× 704 1.2× 111 0.6× 113 0.8× 67 1.9k
Anita Rácz 998 0.7× 937 0.7× 358 0.6× 175 1.0× 173 1.2× 58 2.3k
Li Han 1.1k 0.8× 1.8k 1.3× 367 0.6× 247 1.3× 173 1.2× 70 2.6k
Dingyan Wang 1.1k 0.8× 1.2k 0.9× 750 1.2× 97 0.5× 105 0.7× 46 2.1k
Dávid Bajusz 1.1k 0.8× 1.1k 0.8× 378 0.6× 177 1.0× 245 1.6× 55 2.5k
Nikolaus Stiefl 774 0.6× 736 0.5× 387 0.6× 121 0.7× 196 1.3× 43 1.5k
Gerard J. P. van Westen 1.5k 1.1× 2.1k 1.5× 441 0.7× 299 1.6× 188 1.3× 127 3.2k
Nina Jeliazkova 1.5k 1.1× 911 0.7× 585 1.0× 160 0.9× 271 1.8× 67 2.7k
Cristian R. Munteanu 914 0.7× 1.2k 0.9× 223 0.4× 156 0.8× 171 1.1× 122 2.3k
Yan A. Ivanenkov 861 0.6× 1.1k 0.8× 533 0.9× 211 1.1× 530 3.5× 93 2.4k

Countries citing papers authored by Chao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Shen. A scholar is included among the top collaborators of Chao Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao Shen. Chao Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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