Suxin Zheng

861 total citations
17 papers, 556 citations indexed

About

Suxin Zheng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Suxin Zheng has authored 17 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Suxin Zheng's work include Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA Research and Splicing (4 papers). Suxin Zheng is often cited by papers focused on Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA Research and Splicing (4 papers). Suxin Zheng collaborates with scholars based in China, United States and Italy. Suxin Zheng's co-authors include Gabriele Varani, Hualiang Jiang, Xiaomin Luo, Michael S. Wolfe, Kaixian Chen, Christine P. Donahue, Yu Chen, Weiliang Zhu, Jianhua Shen and Donglu Bai and has published in prestigious journals such as The Journal of Physical Chemistry B, Biochemical Journal and Journal of Medicinal Chemistry.

In The Last Decade

Suxin Zheng

17 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suxin Zheng China 15 378 144 122 96 37 17 556
Bryan J. Witherbee United States 8 326 0.9× 226 1.6× 159 1.3× 47 0.5× 46 1.2× 9 566
Catherine Sekerke United States 16 278 0.7× 102 0.7× 222 1.8× 70 0.7× 37 1.0× 19 645
Dennis Colussi United States 20 328 0.9× 214 1.5× 236 1.9× 127 1.3× 64 1.7× 44 827
Alfred Binggeli Switzerland 10 325 0.9× 102 0.7× 102 0.8× 38 0.4× 37 1.0× 10 509
Wolfgang Wostl Switzerland 9 279 0.7× 106 0.7× 138 1.1× 55 0.6× 33 0.9× 9 545
Annalisa Maruca Italy 14 258 0.7× 58 0.4× 150 1.2× 102 1.1× 47 1.3× 26 499
Alfred A. Rabow United States 12 364 1.0× 137 1.0× 73 0.6× 39 0.4× 73 2.0× 14 502
Shardul Paricharak United Kingdom 11 254 0.7× 155 1.1× 128 1.0× 54 0.6× 74 2.0× 14 463
Laura Maccari Italy 16 337 0.9× 117 0.8× 225 1.8× 53 0.6× 119 3.2× 24 662
Anand Balupuri South Korea 13 218 0.6× 161 1.1× 87 0.7× 55 0.6× 52 1.4× 52 425

Countries citing papers authored by Suxin Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Suxin Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suxin Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Suxin Zheng. A scholar is included among the top collaborators of Suxin Zheng 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 Suxin Zheng. Suxin Zheng 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.
Zheng, Suxin, Sheng Li, Bo Xu, et al.. (2017). Discovery of a Potent, Selective Renal Sodium-Dependent Glucose Cotransporter 2 (SGLT2) Inhibitor (HSK0935) for the Treatment of Type 2 Diabetes. Journal of Medicinal Chemistry. 60(10). 4173–4184. 26 indexed citations
2.
Chen, Yu, Fan Yang, Wen Yang, et al.. (2016). Targeted inhibition of oncogenic miR-21 maturation with designed RNA-binding proteins. Nature Chemical Biology. 12(9). 717–723. 33 indexed citations
3.
Yang, Fanglong, Suxin Zheng, Qiyue Hu, et al.. (2013). Discovery of novel orally bioavailable GPR40 agonists. Bioorganic & Medicinal Chemistry Letters. 23(10). 2920–2924. 12 indexed citations
4.
Norville, Isobel H., Mitali Sarkar‐Tyson, Suxin Zheng, et al.. (2011). The structure of a Burkholderia pseudomallei immunophilin–inhibitor complex reveals new approaches to antimicrobial development. Biochemical Journal. 437(3). 413–422. 16 indexed citations
5.
Begley, Darren W., Suxin Zheng, & Gabriele Varani. (2010). Fragment‐based discovery of novel thymidylate synthase leads by NMR screening and group epitope mapping. Chemical Biology & Drug Design. 76(3). 218–233. 15 indexed citations
6.
Zheng, Suxin, Yu Chen, Christine P. Donahue, Michael S. Wolfe, & Gabriele Varani. (2009). Structural Basis for Stabilization of the Tau Pre-mRNA Splicing Regulatory Element by Novantrone (Mitoxantrone). Chemistry & Biology. 16(5). 557–566. 71 indexed citations
7.
Dickson, John R., et al.. (2009). Mitoxantrone Analogues as Ligands for a Stem−Loop Structure of Tau Pre-mRNA. Journal of Medicinal Chemistry. 52(21). 6523–6526. 44 indexed citations
8.
Zheng, Suxin, et al.. (2007). A knowledge‐based potential function predicts the specificity and relative binding energy of RNA‐binding proteins. FEBS Journal. 274(24). 6378–6391. 41 indexed citations
9.
Luo, Cheng, Suxin Zheng, Xiaomin Luo, et al.. (2007). Molecular Insight into the Interaction between IFABP and PA by Using MM−PBSA and Alanine Scanning Methods. The Journal of Physical Chemistry B. 111(30). 9104–9113. 18 indexed citations
10.
Feng, Song, Yufang Shi, Suxin Zheng, et al.. (2006). Study on dual-site inhibitors of acetylcholinesterase: Highly potent derivatives of bis- and bifunctional huperzine B. Bioorganic & Medicinal Chemistry. 15(3). 1394–1408. 33 indexed citations
11.
Liu, Hong, Zhaobing Gao, Zhiyi Yao, et al.. (2006). Discovering Potassium Channel Blockers from Synthetic Compound Database by Using Structure-Based Virtual Screening in Conjunction with Electrophysiological Assay. Journal of Medicinal Chemistry. 50(1). 83–93. 23 indexed citations
12.
Jin, Hongwei, Suxin Zheng, Zhanli Wang, et al.. (2006). Structural insights into the effect of isonucleosides on B-DNA duplexes using molecular-dynamics simulations. Journal of Molecular Modeling. 12(6). 781–791. 5 indexed citations
13.
Feng, Song, Zhifei Wang, Xuchang He, et al.. (2005). Bis-huperzine B:  Highly Potent and Selective Acetylcholinesterase Inhibitors. Journal of Medicinal Chemistry. 48(3). 655–657. 47 indexed citations
14.
Luo, Cheng, Lingfei Xu, Suxin Zheng, et al.. (2005). Computational analysis of molecular basis of 1:1 interactions of NRG‐1β wild‐type and variants with ErbB3 and ErbB4. Proteins Structure Function and Bioinformatics. 59(4). 742–756. 21 indexed citations
15.
Zheng, Suxin, Xiaomin Luo, Gang Chen, et al.. (2005). A New Rapid and Effective Chemistry Space Filter in Recognizing a Druglike Database. Journal of Chemical Information and Modeling. 45(4). 856–862. 58 indexed citations
16.
Chen, Gang, Suxin Zheng, Xiaomin Luo, et al.. (2005). Focused Combinatorial Library Design Based on Structural Diversity, Druglikeness and Binding Affinity Score. Journal of Combinatorial Chemistry. 7(3). 398–406. 55 indexed citations
17.
Liu, Hong, Mingke Song, Xiaojian Tan, et al.. (2003). Structure-Based Discovery of Potassium Channel Blockers from Natural Products. Chemistry & Biology. 10(11). 1103–1113. 38 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.

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