Hualiang Jiang

54.4k total citations · 9 hit papers
713 papers, 30.2k citations indexed

About

Hualiang Jiang is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Hualiang Jiang has authored 713 papers receiving a total of 30.2k indexed citations (citations by other indexed papers that have themselves been cited), including 433 papers in Molecular Biology, 177 papers in Organic Chemistry and 151 papers in Computational Theory and Mathematics. Recurrent topics in Hualiang Jiang's work include Computational Drug Discovery Methods (151 papers), Protein Structure and Dynamics (58 papers) and Chemical Synthesis and Analysis (48 papers). Hualiang Jiang is often cited by papers focused on Computational Drug Discovery Methods (151 papers), Protein Structure and Dynamics (58 papers) and Chemical Synthesis and Analysis (48 papers). Hualiang Jiang collaborates with scholars based in China, United States and Germany. Hualiang Jiang's co-authors include Kaixian Chen, Xiaomin Luo, Cheng Luo, Weiliang Zhu, Hong Liu, Mingyue Zheng, Honglin Li, Xu Shen, Jianhua Shen and Yechun Xu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hualiang Jiang

706 papers receiving 29.7k citations

Hit Papers

Predicting protein–protein interactions based only on seq... 2007 2026 2013 2019 2007 2010 2019 2010 2014 200 400 600

Peers

Hualiang Jiang
Comparison fields: 5 of 199
  • Molecular Biology 17.1k
  • Computational Theory and Mathematics 6.7k
  • Organic Chemistry 6.4k
  • Pharmacology 2.8k
  • Oncology 2.3k
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Citations per field, relative to Hualiang Jiang
Hualiang Jiang · 1×
Citations per year, relative to Hualiang Jiang
Hualiang Jiang · 1×

Countries citing papers authored by Hualiang Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hualiang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hualiang Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hualiang Jiang. A scholar is included among the top collaborators of Hualiang Jiang 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 Hualiang Jiang. Hualiang Jiang 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
# Work Indexed citations
1 1
2 7
3 30
4 4
5 25
6
Structural insights into the lipid and ligand regulation of serotonin receptors breakdown →
185
7 62
8 57
9 12
10 26
11 73
12 36
13 69
14
Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complex breakdown →
552
15 37
16 56
17 149
18 14
19 14
20 2

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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