Maozi Chen

526 total citations
17 papers, 391 citations indexed

About

Maozi Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maozi Chen has authored 17 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maozi Chen's work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (6 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Maozi Chen is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (6 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Maozi Chen collaborates with scholars based in United States, China and United Kingdom. Maozi Chen's co-authors include Zhiwei Feng, Xiang‐Qun Xie, Terence F. McGuire, Ying Xue, Heng Liu, Youwen Zhuang, Junmei Wang, H. Eric Xu, Changrui Xing and Lei Wang and has published in prestigious journals such as Cell, PLoS Genetics and Journal of Chemical Information and Modeling.

In The Last Decade

Maozi Chen

17 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maozi Chen United States 10 228 106 102 100 39 17 391
Kalyan Tirupula United States 13 357 1.6× 55 0.5× 107 1.0× 39 0.4× 62 1.6× 21 650
Pietro Delre Italy 12 173 0.8× 65 0.6× 113 1.1× 145 1.4× 51 1.3× 33 452
Ji Young Lee United States 11 375 1.6× 26 0.2× 113 1.1× 86 0.9× 32 0.8× 22 499
Terrence Kenakin United States 11 278 1.2× 95 0.9× 194 1.9× 54 0.5× 13 0.3× 12 452
Timothy D. McKee United States 13 369 1.6× 85 0.8× 103 1.0× 69 0.7× 8 0.2× 20 506
Wallace Chan United States 11 263 1.2× 94 0.9× 50 0.5× 207 2.1× 23 0.6× 17 379
Johanna K. S. Tiemann Germany 10 327 1.4× 24 0.2× 103 1.0× 69 0.7× 13 0.3× 15 457
Chidochangu P. Mpamhanga United Kingdom 8 438 1.9× 70 0.7× 113 1.1× 158 1.6× 12 0.3× 10 635
Xirong Zheng United States 14 254 1.1× 137 1.3× 131 1.3× 36 0.4× 7 0.2× 28 541
Bonnie J. Hanson United States 14 419 1.8× 54 0.5× 148 1.5× 26 0.3× 8 0.2× 20 557

Countries citing papers authored by Maozi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Maozi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maozi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Maozi Chen. A scholar is included among the top collaborators of Maozi Chen 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 Maozi Chen. Maozi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Jing, Yankang, Yuanyuan Xu, Terence F. McGuire, et al.. (2025). GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network. The AAPS Journal. 27(3). 73–73. 3 indexed citations
2.
Chen, Maozi, et al.. (2022). Virus-CKB 2.0: Viral-Associated Disease-Specific Chemogenomics Knowledgebase. ACS Omega. 7(42). 37476–37484. 1 indexed citations
3.
Jiang, Chen, et al.. (2022). How Do Modulators Affect the Orthosteric and Allosteric Binding Pockets?. ACS Chemical Neuroscience. 13(7). 959–977. 8 indexed citations
4.
Jin, Cheng, Maozi Chen, Siyi Wang, et al.. (2021). Binding Characterization of Agonists and Antagonists by MCCS: A Case Study from Adenosine A2A Receptor. ACS Chemical Neuroscience. 12(9). 1606–1620. 4 indexed citations
5.
6.
Feng, Zhiwei, Siyi Wang, Maozi Chen, et al.. (2020). Binding Characterization of GPCRs-Modulator by Molecular Complex Characterizing System (MCCS). ACS Chemical Neuroscience. 11(20). 3333–3345. 11 indexed citations
7.
Xing, Changrui, Youwen Zhuang, Ting-Hai Xu, et al.. (2020). Cryo-EM Structure of the Human Cannabinoid Receptor CB2-Gi Signaling Complex. Cell. 180(4). 645–654.e13. 174 indexed citations
8.
Feng, Zhiwei, Maozi Chen, Ying Xue, et al.. (2020). MCCS: a novel recognition pattern-based method for fast track discovery of anti-SARS-CoV-2 drugs. Briefings in Bioinformatics. 22(2). 946–962. 23 indexed citations
9.
Feng, Zhiwei, et al.. (2020). Pain-CKB, A Pain-Domain-Specific Chemogenomics Knowledgebase for Target Identification and Systems Pharmacology Research. Journal of Chemical Information and Modeling. 60(10). 4429–4435. 3 indexed citations
10.
Feng, Zhiwei, et al.. (2020). Virus-CKB: an integrated bioinformatics platform and analysis resource for COVID-19 research. Briefings in Bioinformatics. 22(2). 882–895. 26 indexed citations
11.
Chen, Maozi, et al.. (2020). MCCS, a novel characterization method for protein–ligand complex. Briefings in Bioinformatics. 22(4). 14 indexed citations
12.
13.
Wang, Yuanqiang, Weiwei Lin, Nan Wu, et al.. (2019). Structural insight into the serotonin (5-HT) receptor family by molecular docking, molecular dynamics simulation and systems pharmacology analysis. Acta Pharmacologica Sinica. 40(9). 1138–1156. 36 indexed citations
14.
Chen, Maozi, Yankang Jing, Lirong Wang, Zhiwei Feng, & Xiang‐Qun Xie. (2019). DAKB-GPCRs: An Integrated Computational Platform for Drug Abuse Related GPCRs. Journal of Chemical Information and Modeling. 59(4). 1283–1289. 19 indexed citations
15.
Cheng, Jin, Siyi Wang, Weiwei Lin, et al.. (2019). Computational Systems Pharmacology-Target Mapping for Fentanyl-Laced Cocaine Overdose. ACS Chemical Neuroscience. 10(8). 3486–3499. 22 indexed citations
16.
Joyce, Peter I., Rahul Satija, Maozi Chen, & Patricia E. Kuwabara. (2012). The Atypical Calpains: Evolutionary Analyses and Roles in Caenorhabditis elegans Cellular Degeneration. PLoS Genetics. 8(3). e1002602–e1002602. 24 indexed citations
17.
Han, Guoqiang, et al.. (2006). Skeleton-Based Surface Reconstruction for Visualizing Plant Roots. 18. 328–332. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kalyan Tirupula Breakdown of academic impact, for papers by Pietro Delre Breakdown of academic impact, for papers by Ji Young Lee Breakdown of academic impact, for papers by Terrence Kenakin Breakdown of academic impact, for papers by Timothy D. McKee Breakdown of academic impact, for papers by Wallace Chan Breakdown of academic impact, for papers by Johanna K. S. Tiemann Breakdown of academic impact, for papers by Chidochangu P. Mpamhanga Breakdown of academic impact, for papers by Xirong Zheng Breakdown of academic impact, for papers by Bonnie J. Hanson
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2026