Suwen Zhao

9.7k citations
128 papers · 4.7k indexed · 3 hit papers · h-index 33
Topics
Receptor Mechanisms and Signaling (30 papers)Protein Structure and Dynamics (20 papers)Enzyme Structure and Function (17 papers)

In The Last Decade

Suwen Zhao

122 papers receiving 4.7k citations

Hit Papers

The VSGB 2.0 model: A next generation energy model for hi...2011202620162021201120192021250500750

Peers

Suwen Zhao
Comparison fields: 5 of 143
  • Molecular Biology 3.2k
  • Cellular and Molecular Neuroscience 757
  • Computational Theory and Mathematics 587
  • Organic Chemistry 454
  • Materials Chemistry 452
Replace Meng Cui with:
Meng Cui United States
Xi Cheng China
Vidyashankara Iyer United States
Yifei Qi United States
Roberto Sánchez United States
Takatsugu Hirokawa Japan
Avner Schlessinger United States
Justin A. Lemkul United States
Peng Zhang China
Gabriele Costantino Italy
Suwen Zhao relative to Meng Cui United States Meng Cui's profile →
Citations per field
00.5×1.5×2.4×
Meng Cui · 1×
Citations per year

Countries citing papers authored by Suwen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Suwen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwen Zhao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3 4
4 4
5 6
6 8
7 11
8 8
9 18
10 27
11 16
12 13
13 40
14 166
15 5
16 9
17 8
18 27
19 17
20 30

About Suwen Zhao

Suwen Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy, having authored 128 papers that have together received 4.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (30 papers), Protein Structure and Dynamics (20 papers) and Enzyme Structure and Function (17 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cellular and Molecular Neuroscience (757 citations) and Computational Theory and Mathematics (587 citations). Suwen Zhao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kai Zhu, Richard A. Friesner, Jianing Li, Robert Abel, Yixiang Cao, Yiran Wu, Qingtong Zhou, Dehua Yang, Matthew P. Jacobson and Ming‐Wei Wang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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