Shuoyan Tan

23 total papers · 498 total citations
19 papers, 332 citations indexed

About

Shuoyan Tan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Shuoyan Tan has authored 19 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Shuoyan Tan's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (5 papers) and Plant biochemistry and biosynthesis (5 papers). Shuoyan Tan is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (5 papers) and Plant biochemistry and biosynthesis (5 papers). Shuoyan Tan collaborates with scholars based in China, Macao and Hong Kong. Shuoyan Tan's co-authors include Huanxiang Liu, Xiaojun Yao, Qifeng Bai, Junzhou Huang, Tingyang Xu, Guotong Xie, Qianqian Zhang, Peng Gao, Hongli Liu and Xiaoqing Gong and has published in prestigious journals such as International Journal of Molecular Sciences, Antimicrobial Agents and Chemotherapy and Physical Chemistry Chemical Physics.

In The Last Decade

Shuoyan Tan

15 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
Shuoyan Tan 219 176 50 43 34 19 332
Agata Kranjc 192 0.9× 34 0.2× 33 0.7× 60 1.4× 34 1.0× 18 323
Fei Tong 198 0.9× 136 0.8× 53 1.1× 36 0.8× 23 0.7× 16 351
Jyotsna Bhat 198 0.9× 62 0.4× 11 0.2× 30 0.7× 20 0.6× 16 318
Sagar S. Bhayye 127 0.6× 66 0.4× 18 0.4× 76 1.8× 14 0.4× 17 272
Ehsan Kachooei 179 0.8× 58 0.3× 68 1.4× 24 0.6× 46 1.4× 13 343
Giovanni Bolcato 170 0.8× 134 0.8× 21 0.4× 63 1.5× 96 2.8× 21 299
Bhanuranjan Das 136 0.6× 122 0.7× 36 0.7× 71 1.7× 8 0.2× 20 316
Gianpaolo Chiriano 108 0.5× 62 0.4× 12 0.2× 62 1.4× 27 0.8× 15 323
Jennifer Loschwitz 150 0.7× 88 0.5× 26 0.5× 40 0.9× 38 1.1× 12 280
Hamid Hadi‐Alijanvand 200 0.9× 64 0.4× 30 0.6× 17 0.4× 62 1.8× 28 349

Countries citing papers authored by Shuoyan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shuoyan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuoyan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuoyan Tan. A scholar is included among the top collaborators of Shuoyan Tan 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 Shuoyan Tan. Shuoyan Tan 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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