Guanglei Cui

1.2k citations
23 papers · 889 · h-index 17

Impact in

Papers in

    • Protein Structure and Dynamics 8
    • DNA and Nucleic Acid Chemistry 5
    • RNA and protein synthesis mechanisms 4
    • Antimicrobial agents and applications 2

Guanglei Cui

23 papers receiving 882 citations

Peers

Guanglei Cui
Comparison fields: 5 of 104
  • Computational Theory and Mathematics 159
  • Molecular Biology 609
  • Physical and Theoretical Chemistry 57
  • Spectroscopy 101
  • Materials Chemistry 263
Replace Richard L. Thurlkill with:
Richard L. Thurlkill United States
John D. Bickel United States
Jana K. Shen United States
Velin Z. Spassov Bulgaria
Suzanne Sirois Canada
Jožica Dolenc Switzerland
Vincent Kräutler Switzerland
Yongping Pan United States
Ronald W. Sarver United States
Dan Sindhikara United States
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Citations per field
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Citations per year

Countries citing papers authored by Guanglei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guanglei Cui, 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 Guanglei Cui Line = papers co-authored together Guanglei Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006107
2 2005104
3 2004100
4 201689
5 200974
6 200770
7 201343
8 200636
9 200632
10 201230
11 200527
12 200726
13 200722
14 200621
15 200219
16 201217
17 200717
18 201116
19 200816
20 201710

About Guanglei Cui

Guanglei Cui is a scholar working on Molecular Biology, Organic Chemistry, Atomic and Molecular Physics, and Optics, Materials Chemistry and Computational Theory and Mathematics, having authored 23 papers that have together received 889 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Antimicrobial Peptides and Activities (3 papers), Computational Drug Discovery Methods (3 papers) and Antimicrobial agents and applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (159 citations), Molecular Biology (609 citations), Physical and Theoretical Chemistry (57 citations), Spectroscopy (101 citations) and Materials Chemistry (263 citations). Guanglei Cui has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth M. Merz, Carlos Simmerling, Viktor Horn̆ák, Xiaolin Cheng, Peter J. Tonge, Xiao He, László Füsti-Molnár, Ligang Zhang, Xiaobing Zuo and David M. Tiede. Their work appears in journals such as Biochemistry, The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Journal of the American Chemical Society and Journal of Medicinal Chemistry.

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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