Zhi‐Jie Liu

13.6k citations
184 papers · 5.6k indexed · 1 hit paper · h-index 41
Topics
Receptor Mechanisms and Signaling (27 papers)Enzyme Structure and Function (21 papers)Protein Structure and Dynamics (15 papers)
Partner nations
ChinaUnited StatesRussia

In The Last Decade

Zhi‐Jie Liu

179 papers receiving 5.6k citations

Hit Papers

Common activation mechanism of class A GPCRs20192026202120232019100200300

Peers

Zhi‐Jie Liu
Comparison fields: 5 of 154
  • Molecular Biology 3.6k
  • Cellular and Molecular Neuroscience 898
  • Immunology 814
  • Infectious Diseases 626
  • Materials Chemistry 528
Replace Pascal Benkert with:
Pascal Benkert Switzerland
Magnar Bjørås Norway
Noelle S. Williams United States
Stefan Tenzer Germany
Robert Schwarzenbacher United States
Howard Jaffe United States
Wei‐Jen Tang United States
Zichun Hua China
Julian A. Simon United States
Alain Van Dorsselaer France
Zhi‐Jie Liu relative to Pascal Benkert Switzerland Pascal Benkert's profile →
Citations per field
00.5×1.5×2.3×
Pascal Benkert · 1×
Citations per year

Countries citing papers authored by Zhi‐Jie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Jie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Jie Liu. 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 Zhi‐Jie Liu. The network helps show where Zhi‐Jie Liu may publish in the future.

Co-authorship network of co-authors of Zhi‐Jie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Jie Liu. A scholar is included among the top collaborators of Zhi‐Jie Liu 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 Zhi‐Jie Liu. Zhi‐Jie Liu 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 1
2 1
3 11
4 35
5 2
6 17
7 12
8 12
9 19
10 28
11 166
12 18
13 36
14 8
15 86
16
Common activation mechanism of class A GPCRsbreakdown →
396
17 34
18 5
19 19
20 15

About Zhi‐Jie Liu

Zhi‐Jie Liu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology, having authored 184 papers that have together received 5.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (27 papers), Enzyme Structure and Function (21 papers) and Protein Structure and Dynamics (15 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Cellular and Molecular Neuroscience (898 citations) and Immunology (814 citations). Zhi‐Jie Liu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Bi‐Cheng Wang, Songying Ouyang, Neil Shaw, Tian Hua, Eugene S. Vysotski, John P. Rose, Suwen Zhao, Wei Ding, Raymond C. Stevens and Meng Wu. Their work appears in journals such as Nature, Cell 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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