Wei Zu Chen

562 total citations
30 papers, 466 citations indexed

About

Wei Zu Chen is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Wei Zu Chen has authored 30 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Materials Chemistry and 9 papers in Infectious Diseases. Recurrent topics in Wei Zu Chen's work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (10 papers) and HIV Research and Treatment (9 papers). Wei Zu Chen is often cited by papers focused on Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (10 papers) and HIV Research and Treatment (9 papers). Wei Zu Chen collaborates with scholars based in China, Italy and France. Wei Zu Chen's co-authors include Cun Xin Wang, Ji Guo Su, Jianjun Tan, Hui Xiao, Ren Kong, Rui Hao, Xianjin Xu, Xiaojie Xu, Hui Xiao and Xiong Jiao and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Biophysical Journal.

In The Last Decade

Wei Zu Chen

30 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Zu Chen China	15	360	132	91	79	68	30	466
Cun Xin Wang China	15	407 1.1×	129 1.0×	89 1.0×	88 1.1×	76 1.1×	36	523
S. Roy Kimura United States	11	443 1.2×	164 1.2×	148 1.6×	48 0.6×	42 0.6×	26	601
William A. McLaughlin United States	10	522 1.4×	93 0.7×	145 1.6×	77 1.0×	39 0.6×	22	651
Aaron T. Frank United States	17	654 1.8×	127 1.0×	82 0.9×	48 0.6×	31 0.5×	36	838
Disha Patel United States	14	348 1.0×	73 0.6×	97 1.1×	165 2.1×	122 1.8×	31	609
Kuo Chen Chou United States	12	667 1.9×	115 0.9×	85 0.9×	39 0.5×	28 0.4×	15	802
Marco Scarsi Switzerland	10	475 1.3×	83 0.6×	237 2.6×	31 0.4×	25 0.4×	11	599
Hiroyasu Ohtaka United States	9	452 1.3×	62 0.5×	162 1.8×	248 3.1×	220 3.2×	12	793
Abdessamad Ababou United Kingdom	12	308 0.9×	59 0.4×	27 0.3×	26 0.3×	21 0.3×	20	512
George Patargias United Kingdom	9	278 0.8×	35 0.3×	36 0.4×	37 0.5×	20 0.3×	10	412

Countries citing papers authored by Wei Zu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Wei Zu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Zu Chen

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

All Works

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20 of 20 papers shown

Xu, Xianjin, Ji Guo Su, Anna Rita Bizzarri, et al.. (2013). Detection of persistent organic pollutants binding modes with androgen receptor ligand binding domain by docking and molecular dynamics. BMC Structural Biology. 13(1). 16–16. 9 indexed citations

Su, Ji Guo, et al.. (2011). An Analysis of the Influence of Protein Intrinsic Dynamical Properties on its Thermal Unfolding Behavior. Journal of Biomolecular Structure and Dynamics. 29(1). 105–121. 9 indexed citations

Li, Ping, et al.. (2011). Insight into the Inhibitory Mechanism and Binding Mode Between D77 and HIV-1 Integrase by Molecular Modeling Methods. Journal of Biomolecular Structure and Dynamics. 29(2). 311–323. 9 indexed citations

Su, Ji Guo, et al.. (2011). Identification of key residues for protein conformational transition using elastic network model. The Journal of Chemical Physics. 135(17). 174101–174101. 22 indexed citations

Su, Ji Guo, Wei Zu Chen, & Cun Xin Wang. (2010). Role of electrostatic interactions for the stability and folding behavior of cold shock protein. Proteins Structure Function and Bioinformatics. 78(9). NA–NA. 7 indexed citations

Liu, Ming, Xiao Cong, Ping Li, et al.. (2009). Study on the inhibitory mechanism and binding mode of the hydroxycoumarin compound NSC158393 to HIV‐1 integrase by molecular modeling. Biopolymers. 91(9). 700–709. 15 indexed citations

Liu, Ming, Ji Guo Su, Ren Kong, et al.. (2008). Molecular dynamics simulations of the bacterial periplasmic heme binding proteins ShuT and PhuT. Biophysical Chemistry. 138(1-2). 42–49. 16 indexed citations

Su, Ji Guo, et al.. (2008). Protein Unfolding Behavior Studied by Elastic Network Model. Biophysical Journal. 94(12). 4586–4596. 40 indexed citations

Chang, Shan, et al.. (2007). A filter enhanced sampling and combinatorial scoring study for protein docking in CAPRI. Proteins Structure Function and Bioinformatics. 69(4). 859–865. 4 indexed citations

10.

Hu, Jianping, et al.. (2007). Study on the molecular mechanism of inhibiting HIV-1 integrase by EBR28 peptide via molecular modeling approach. Biophysical Chemistry. 132(2-3). 69–80. 19 indexed citations

11.

Xiao, Hui, et al.. (2007). Complex-type-dependent scoring functions in protein–protein docking. Biophysical Chemistry. 129(1). 1–10. 18 indexed citations

12.

Su, Ji Guo, et al.. (2006). Analysis of Domain Movements in Glutamine-Binding Protein with Simple Models. Biophysical Journal. 92(4). 1326–1335. 31 indexed citations

13.

Kong, Ren, Jianjun Tan, Hui Xiao, Wei Zu Chen, & Cun Xin Wang. (2006). Prediction of the binding mode between BMS-378806 and HIV-1 gp120 by docking and molecular dynamics simulation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(4). 766–772. 34 indexed citations

14.

Tan, Jianjun, et al.. (2005). Prediction of the binding model of HIV-1 gp41 with small molecule inhibitors. PubMed. 6. 4755–4758. 4 indexed citations

15.

Chen, Wei Zu, et al.. (2004). Docking dinucleotides to HIV-1 integrase carboxyl-terminal domain to find possible DNA binding sites. Bioorganic & Medicinal Chemistry Letters. 15(2). 475–477. 13 indexed citations

16.

Xiao, Hui, et al.. (2003). A protein–protein docking algorithm dependent on the type of complexes. Protein Engineering Design and Selection. 16(4). 265–269. 19 indexed citations

17.

Xiao, Hui, et al.. (2003). A soft docking algorithm for predicting the structure of antibody‐antigen complexes. Proteins Structure Function and Bioinformatics. 52(1). 47–50. 7 indexed citations

18.

Chen, Wei Zu, et al.. (2002). Protein molecular dynamics with electrostatic force entirely determined by a single Poisson‐Boltzmann calculation. Proteins Structure Function and Bioinformatics. 48(3). 497–504. 31 indexed citations

19.

Chen, Wei Zu, et al.. (2000). Molecular dynamics simulations of the gramicidin A-dimyristoylphosphatidylcholine system with an ion in the channel pore region. European Biophysics Journal. 29(7). 523–534. 9 indexed citations

20.

Chen, Wei Zu, et al.. (1999). Constructing the suitable initial configuration of the membrane-protein system in molecular dynamics simulations. European Biophysics Journal. 28(6). 478–488. 10 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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