H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Chemistry D-index 43 Citations 6,038 204 World Ranking 11253 National Ranking 1487
Biology and Biochemistry D-index 43 Citations 5,599 217 World Ranking 14046 National Ranking 341

Overview

What is he best known for?

The fields of study he is best known for:

  • Enzyme
  • Gene
  • Quantum mechanics

Dong-Qing Wei mostly deals with Docking, Molecular dynamics, Protein structure, Stereochemistry and Binding site. His Docking research integrates issues from Plasma protein binding, CYP2C19, Protease, Pharmacophore and Structure–activity relationship. His Molecular dynamics research incorporates elements of Solvation, Biophysics, Physical chemistry, Relaxation and Antimicrobial peptides.

His Physical chemistry study incorporates themes from Nitromethane and Thermodynamics. His Protein structure research includes elements of Protein engineering and Computational biology. The concepts of his Stereochemistry study are interwoven with issues in Peptide bond, Enzyme, Cleavage and Chemical bond.

His most cited work include:

  • Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS. (268 citations)
  • Orientational order in simple dipolar liquids: Computer simulation of a ferroelectric nematic phase. (177 citations)
  • Hydrated proton clusters and solvent effects on the proton transfer barrier: A density functional study (133 citations)

What are the main themes of his work throughout his whole career to date?

Molecular dynamics, Computational biology, Thermodynamics, Biochemistry and Virology are his primary areas of study. While the research belongs to areas of Molecular dynamics, Dong-Qing Wei spends his time largely on the problem of Biophysics, intersecting his research to questions surrounding Binding site. His Computational biology research is multidisciplinary, incorporating elements of Protein structure, In silico, Docking and Drug.

The subject of his Docking research is within the realm of Stereochemistry. His research integrates issues of Phase, Density functional theory and Physical chemistry in his study of Thermodynamics. His research in Virology focuses on subjects like Epitope, which are connected to Major histocompatibility complex and Immune system.

He most often published in these fields:

  • Molecular dynamics (18.01%)
  • Computational biology (15.24%)
  • Thermodynamics (12.47%)

What were the highlights of his more recent work (between 2018-2021)?

  • Computational biology (15.24%)
  • Virology (9.01%)
  • Artificial intelligence (5.54%)

In recent papers he was focusing on the following fields of study:

Dong-Qing Wei mainly focuses on Computational biology, Virology, Artificial intelligence, Epitope and In silico. His Computational biology research includes elements of Gene expression, Genome and Docking. His studies in Virology integrate themes in fields like Proteome and Immunity.

His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. His Epitope research includes themes of Immune system, Major histocompatibility complex, CTL* and Capsid. His research is interdisciplinary, bridging the disciplines of Virtual screening and In silico.

Between 2018 and 2021, his most popular works were:

  • Marine natural compounds as potents inhibitors against the main protease of SARS-CoV-2-a molecular dynamic study. (49 citations)
  • Immunoinformatics approaches to explore Helicobacter Pylori proteome (Virulence Factors) to design B and T cell multi-epitope subunit vaccine (33 citations)
  • DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features (32 citations)

In his most recent research, the most cited papers focused on:

  • Enzyme
  • Gene
  • Quantum mechanics

Virology, Computational biology, In silico, Virus and Epitope are his primary areas of study. Dong-Qing Wei combines Virology and Coronavirus in his studies. Dong-Qing Wei has included themes like Microarray, Small molecule, Molecular Docking Simulation and Enzyme in his Computational biology study.

Dong-Qing Wei interconnects Extracellular, Virtual screening, Semantic similarity and Intracellular in the investigation of issues within In silico. His Epitope study combines topics from a wide range of disciplines, such as CTL*, Major histocompatibility complex, Capsid and Immunogenicity. His Docking study results in a more complete grasp of Stereochemistry.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS.

Kuo-Chen Chou;Dong-Qing Wei;Wei-Zhu Zhong.
Biochemical and Biophysical Research Communications (2003)

441 Citations

Orientational order in simple dipolar liquids: Computer simulation of a ferroelectric nematic phase.

Dongqing Wei;G. N. Patey.
Physical Review Letters (1992)

342 Citations

Ferroelectric liquid-crystal and solid phases formed by strongly interacting dipolar soft spheres

Dongqing Wei;G. N. Patey.
Physical Review A (1992)

199 Citations

Hydrated proton clusters and solvent effects on the proton transfer barrier: A density functional study

Dongqing Wei;D. R. Salahub.
Journal of Chemical Physics (1994)

183 Citations

Virtual Screening for SARS-CoV Protease Based on KZ7088 Pharmacophore Points†

Suzanne Sirois;Dong Qing Wei;Qishi Du;Kuo Chen Chou.
Journal of Chemical Information and Computer Sciences (2004)

180 Citations

Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees.

Li Li;Li Li;Li Li;Ching Chiek Koh;Ching Chiek Koh;Daniel Reker;Daniel Reker;J. B. Brown.
Scientific Reports (2019)

169 Citations

Progress in Computational Approach to Drug Development Against SARS

Kuo Chen Chou;Dong Qing Wei;Qi Shi Du;Suzanne Sirois.
Current Medicinal Chemistry (2006)

156 Citations

3D structure modeling of cytochrome P450 2C19 and its implication for personalized drug design.

Jing Fang Wang;Dong Qing Wei;Lin Li;Lin Li;Si Yuan Zheng.
Biochemical and Biophysical Research Communications (2007)

146 Citations

Molecular Modeling of Two CYP2C19 SNPs and Its Implications for Personalized Drug Design

Dong-Qing Wei;Jing-Fang Wang;Chao Chen;Yixue Li.
Protein and Peptide Letters (2008)

144 Citations

Hydrated proton clusters: Ab initio molecular dynamics simulation and simulated annealing

Dongqing Wei;D. R. Salahub.
Journal of Chemical Physics (1997)

139 Citations

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Best Scientists Citing Dong-Qing Wei

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Kuo-Chen Chou

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