Qinggang Zhang

1.6k total citations
78 papers, 1.4k citations indexed

About

Qinggang Zhang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Qinggang Zhang has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Atomic and Molecular Physics, and Optics and 16 papers in Spectroscopy. Recurrent topics in Qinggang Zhang's work include Protein Structure and Dynamics (23 papers), Advanced Chemical Physics Studies (20 papers) and Enzyme Structure and Function (11 papers). Qinggang Zhang is often cited by papers focused on Protein Structure and Dynamics (23 papers), Advanced Chemical Physics Studies (20 papers) and Enzyme Structure and Function (11 papers). Qinggang Zhang collaborates with scholars based in China, United States and Singapore. Qinggang Zhang's co-authors include Jianzhong Chen, Shaolong Zhang, Xinguo Liu, Fangfang Yan, Jing Su, Tong Zhu, John Z. H. Zhang, Guodong Hu, Laixue Pang and Wei Wang and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qinggang Zhang

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qinggang Zhang China 23 929 220 209 190 189 78 1.4k
Jayashree Srinivasan United States 11 1.7k 1.9× 380 1.7× 158 0.8× 170 0.9× 180 1.0× 16 2.2k
Irene Luque Spain 27 1.4k 1.5× 302 1.4× 223 1.1× 169 0.9× 61 0.3× 65 2.2k
Paul E. Morin United States 17 990 1.1× 216 1.0× 106 0.5× 226 1.2× 36 0.2× 25 1.5k
Vickie Tsui United States 20 2.2k 2.3× 225 1.0× 88 0.4× 329 1.7× 215 1.1× 28 2.6k
David J. Huggins United States 29 1.4k 1.5× 468 2.1× 82 0.4× 173 0.9× 159 0.8× 63 2.2k
S. Maignan France 12 786 0.8× 119 0.5× 184 0.9× 107 0.6× 42 0.2× 13 1.2k
Luca Mollica Italy 25 1.3k 1.4× 183 0.8× 49 0.2× 136 0.7× 66 0.3× 59 2.3k
Pieter F. W. Stouten United States 20 1.4k 1.5× 696 3.2× 108 0.5× 185 1.0× 85 0.4× 54 2.1k
Christopher G. Mayne United States 23 1.0k 1.1× 188 0.9× 61 0.3× 296 1.6× 112 0.6× 45 2.1k
Andrew Maynard United States 17 387 0.4× 107 0.5× 187 0.9× 137 0.7× 136 0.7× 23 1.3k

Countries citing papers authored by Qinggang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Qinggang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinggang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qinggang Zhang. A scholar is included among the top collaborators of Qinggang Zhang 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 Qinggang Zhang. Qinggang Zhang 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
1.
Zhang, Shaolong, et al.. (2024). Accelerated molecular dynamics study of the interaction mechanism between small molecule inhibitors and phosphoglycerate mutase 1. Physical Chemistry Chemical Physics. 26(42). 26784–26798. 4 indexed citations
2.
Tao, Ze‐Kun, Qinggang Zhang, Yulong Liu, et al.. (2024). Boosting catalytic activity of π-π interactions-stabilized PdNPs for water-mediated Suzuki couplings of aryl chlorides. Surfaces and Interfaces. 55. 105313–105313. 1 indexed citations
3.
Yan, Qiqi, et al.. (2023). Nomogram to predict the incidence of new-onset heart failure after acute coronary syndrome among women. Frontiers in Cardiovascular Medicine. 10. 1131813–1131813. 1 indexed citations
4.
5.
6.
Guan, Zhiyuan, Liying Luo, Zhiqiang Guan, et al.. (2022). The Role of Depletion of Gut Microbiota in Osteoporosis and Osteoarthritis: A Narrative Review. Frontiers in Endocrinology. 13. 847401–847401. 27 indexed citations
7.
8.
Chen, Jianzhong, Shaolong Zhang, Wei Wang, et al.. (2021). Mutation-Induced Impacts on the Switch Transformations of the GDP- and GTP-Bound K-Ras: Insights from Multiple Replica Gaussian Accelerated Molecular Dynamics and Free Energy Analysis. Journal of Chemical Information and Modeling. 61(4). 1954–1969. 121 indexed citations
9.
Chen, Jianzhong, Shaolong Zhang, Wei Wang, et al.. (2021). Binding of Inhibitors to BACE1 Affected by pH-Dependent Protonation: An Exploration from Multiple Replica Gaussian Accelerated Molecular Dynamics and MM-GBSA Calculations. ACS Chemical Neuroscience. 12(14). 2591–2607. 30 indexed citations
10.
11.
Su, Jing, et al.. (2018). Insight into selective mechanism of class of I‐BRD9 inhibitors toward BRD9 based on molecular dynamics simulations. Chemical Biology & Drug Design. 93(2). 163–176. 32 indexed citations
12.
Duan, Lili, et al.. (2017). Effect of electrostatic polarization and bridging water on CDK2–ligand binding affinities calculated using a highly efficient interaction entropy method. Physical Chemistry Chemical Physics. 19(15). 10140–10152. 49 indexed citations
13.
Liang, Zhiqiang, et al.. (2015). Insight into binding modes of p53 and inhibitors to MDM2 based on molecular dynamic simulations and principal component analysis. Molecular Physics. 114(1). 128–140. 3 indexed citations
14.
Meng, Xianmei, et al.. (2013). Molecular Dynamics Study on Function of 2-ylacetic acid-Benzothiophene in Binding of HIV-1 Protease and Inhibitor. Acta Chimica Sinica. 71(8). 1167–1167. 1 indexed citations
15.
Hu, Guodong, Dunyou Wang, Xinguo Liu, & Qinggang Zhang. (2010). A computational analysis of the binding model of MDM2 with inhibitors. Journal of Computer-Aided Molecular Design. 24(8). 687–697. 30 indexed citations
16.
Hu, Guodong, Qinggang Zhang, & Liao Y. Chen. (2010). Insights into scFv:drug binding using the molecular dynamics simulation and free energy calculation. Journal of Molecular Modeling. 17(8). 1919–1926. 14 indexed citations
17.
Hu, Guodong, Tong Zhu, Shaolong Zhang, Dunyou Wang, & Qinggang Zhang. (2009). Some insights into mechanism for binding and drug resistance of wild type and I50V V82A and I84V mutations in HIV-1 protease with GRL-98065 inhibitor from molecular dynamic simulations. European Journal of Medicinal Chemistry. 45(1). 227–235. 30 indexed citations
18.
Chen, Jianzhong, et al.. (2009). Insights into the functional role of protonation states in the HIV-1 protease-BEA369 complex: molecular dynamics simulations and free energy calculations. Journal of Molecular Modeling. 15(10). 1245–1252. 25 indexed citations
19.
Zhang, Yongqiang, et al.. (2006). Influence of ambient pressure on properties and expansion of laser-induced plasma. Chinese Optics Letters. 4(8). 493–496. 1 indexed citations
20.
Wang, Chuan‐Kui, et al.. (1999). Time-Dependent Behavior in Arrays of Two Coupled Quantum-Dot Cells. Chinese Physics Letters. 16(6). 440–442. 1 indexed citations

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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