D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Chemistry D-index 52 Citations 10,063 335 World Ranking 9748 National Ranking 1349

Overview

What is he best known for?

The fields of study Weiliang Zhu is best known for:

  • Enzyme
  • Gene
  • DNA

Weiliang Zhu works mostly in the field of Molecular dynamics, limiting it down to topics relating to Computational chemistry and, in certain cases, Density functional theory. He integrates many fields in his works, including Density functional theory and Computational chemistry. He performs multidisciplinary study in Biochemistry and Receptor in his work. His study in Ab initio extends to Organic chemistry with its themes. Weiliang Zhu performs multidisciplinary study in Stereochemistry and Enzyme in his work. Weiliang Zhu conducts interdisciplinary study in the fields of Enzyme and Stereochemistry through his works. Weiliang Zhu combines Drug discovery and Virtual screening in his studies. He merges Virtual screening with Drug discovery in his study. His research is interdisciplinary, bridging the disciplines of Halogen and Alkyl.

His most cited work include:

  • Halogen Bonding—A Novel Interaction for Rational Drug Design? (506 citations)
  • TarFisDock: a web server for identifying drug targets with docking approach (335 citations)
  • Nonbonding interactions of organic halogens in biological systems: implications for drug discovery and biomolecular design (318 citations)

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

Weiliang Zhu incorporates Biochemistry and Pharmacology in his studies. Weiliang Zhu undertakes multidisciplinary studies into Computational chemistry and Molecular dynamics in his work. His work blends Molecular dynamics and Computational chemistry studies together. While working on this project, he studies both Organic chemistry and Alkyl. In his research, Weiliang Zhu undertakes multidisciplinary study on Alkyl and Organic chemistry. In his research, Weiliang Zhu undertakes multidisciplinary study on Stereochemistry and Enzyme. His multidisciplinary approach integrates Enzyme and Stereochemistry in his work. He conducts interdisciplinary study in the fields of Gene and Biochemistry through his research. Weiliang Zhu undertakes multidisciplinary studies into Molecule and Crystallography in his work.

Weiliang Zhu most often published in these fields:

  • Biochemistry (65.92%)
  • Computational chemistry (36.70%)
  • Organic chemistry (36.33%)

What were the highlights of his more recent work (between 2019-2022)?

  • Biochemistry (51.43%)
  • Gene (48.57%)
  • Genetics (40.00%)

In recent works Weiliang Zhu was focusing on the following fields of study:

His Pathology study in the realm of Disease connects with subjects such as Virology. Weiliang Zhu performs multidisciplinary studies into Pathology and Disease in his work. In his works, he conducts interdisciplinary research on Biochemistry and Organic chemistry. His multidisciplinary approach integrates Organic chemistry and Biochemistry in his work. In his papers, Weiliang Zhu integrates diverse fields, such as Gene and Mutation. He conducted interdisciplinary study in his works that combined Mutation and Genetics. Many of his studies involve connections with topics such as Cell growth and Genetics. He connects Cell growth with Gene in his research. Weiliang Zhu integrates many fields, such as Cancer research and Oncology, in his works.

Between 2019 and 2022, his most popular works were:

  • Nelfinavir was predicted to be a potential inhibitor of 2019-nCov main protease by an integrative approach combining homology modelling, molecular docking and binding free energy calculation (129 citations)
  • SARS-CoV-2 Omicron RBD shows weaker binding affinity than the currently dominant Delta variant to human ACE2 (129 citations)
  • Linc00173 promotes chemoresistance and progression of small cell lung cancer by sponging miR-218 to regulate Etk expression (70 citations)

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

  • Gene
  • Enzyme
  • Immune system

His research on Genetics often connects related areas such as Transporter. His Disease study typically links adjacent topics like Spike Protein. As part of his studies on Spike Protein, he frequently links adjacent subjects like Pathology. His research is interdisciplinary, bridging the disciplines of Angiotensin-converting enzyme 2 and Pathology. Angiotensin-converting enzyme 2 and Disease are commonly linked in his work. Coronavirus disease 2019 (COVID-19) is frequently linked to Coronavirus Infections in his study. His Coronavirus Infections study frequently intersects with other fields, such as Infectious disease (medical specialty). Many of his studies on Infectious disease (medical specialty) apply to Betacoronavirus as well. His research ties Internal medicine and Betacoronavirus together.

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

Predicting protein-protein interactions based only on sequences information.

Juwen Shen;Jian Zhang;Xiaomin Luo;Weiliang Zhu.
Proceedings of the National Academy of Sciences of the United States of America (2007)

957 Citations

Halogen bonding--a novel interaction for rational drug design?

Yunxiang Lu;Ting Shi;Yong Wang;Huaiyu Yang.
Journal of Medicinal Chemistry (2009)

745 Citations

Nonbonding interactions of organic halogens in biological systems: implications for drug discovery and biomolecular design

Yunxiang Lu;Yong Wang;Weiliang Zhu.
Physical Chemistry Chemical Physics (2010)

454 Citations

TarFisDock: a web server for identifying drug targets with docking approach

Honglin Li;Zhenting Gao;Ling Kang;Hailei Zhang.
Nucleic Acids Research (2006)

404 Citations

Conformational transition of amyloid β-peptide

Yechun Xu;Jianhua Shen;Xiaomin Luo;Weiliang Zhu.
Proceedings of the National Academy of Sciences of the United States of America (2005)

335 Citations

PDTD: a web-accessible protein database for drug target identification

Zhenting Gao;Zhenting Gao;Honglin Li;Honglin Li;Hailei Zhang;Xiaofeng Liu.
BMC Bioinformatics (2008)

321 Citations

Halogen bond: its role beyond drug-target binding affinity for drug discovery and development.

Zhijian Xu;Zhuo Yang;Yingtao Liu;Yunxiang Lu.
Journal of Chemical Information and Modeling (2014)

273 Citations

Halogen bonding for rational drug design and new drug discovery

Yunxiang Lu;Yingtao Liu;Zhijian Xu;Haiying Li.
Expert Opinion on Drug Discovery (2012)

263 Citations

Binding interaction of quercetin-3-β-galactoside and its synthetic derivatives with SARS-CoV 3CLpro: Structure–activity relationship studies reveal salient pharmacophore features

Lili Chen;Jian Li;Cheng Luo;Hong Liu.
Bioorganic & Medicinal Chemistry (2006)

251 Citations

Nelfinavir was predicted to be a potential inhibitor of 2019 nCov main protease by an integrative approach combining homology modelling, molecular docking and binding free energy calculation

Zhijian Xu;Cheng Peng;Yulong Shi;Zhengdan Zhu.
bioRxiv (2020)

243 Citations

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