Wei Zu Chen

562 citations
30 papers · 466 · h-index 15

Impact in

Papers in

    • Protein Structure and Dynamics 20
    • Lipid Membrane Structure and Behavior 4
    • DNA and Nucleic Acid Chemistry 4
    • RNA and protein synthesis mechanisms 3
    • Enzyme Structure and Function 10

Wei Zu Chen

30 papers receiving 453 citations

Peers

Wei Zu Chen
Comparison fields: 5 of 76
  • Virology 68
  • Computational Theory and Mathematics 91
  • Molecular Biology 360
  • Infectious Diseases 79
  • Materials Chemistry 132
Replace Cun Xin Wang with:
Cun Xin Wang China
S. Roy Kimura United States
William A. McLaughlin United States
Disha Patel United States
Kuo Chen Chou United States
Marco Scarsi Switzerland
Aaron T. Frank United States
Tian Jianhui United States
Hiroyasu Ohtaka United States
Bernard‐Pierre Roques France
Wei Zu Chen relative to Cun Xin Wang China Cun Xin Wang's profile →
Citations per field
00.5×1.5×
Cun Xin Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wei Zu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Zu Chen Line = papers co-authored together Wei Zu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200840
2 200239
3 200634
4 200631
5 200231
6 200623
7 201122
8 200719
9 200319
10 200718
11 199617
12 200816
13 200915
14 200514
15 201314
16 200514
17 200413
18 199910
19 20119
20 20119

About Wei Zu Chen

Wei Zu Chen is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Virology and Computational Theory and Mathematics, having authored 30 papers that have together received 466 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (10 papers), HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (9 papers), Computational Drug Discovery Methods (5 papers), Lipid Membrane Structure and Behavior (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Virology (68 citations), Computational Theory and Mathematics (91 citations), Molecular Biology (360 citations), Infectious Diseases (79 citations) and Materials Chemistry (132 citations). Wei Zu Chen has collaborated with scholars based in China, Italy and France. Frequent 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. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biophysical Chemistry, European Biophysics Journal, The Journal of Physical Chemistry B and Protein Engineering Design and Selection.

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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