D-Index & Metrics Best Publications

Chao Zhang

University of Southern California
United States

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 Citations Publications World Ranking National Ranking

Materials Science D-index 121 Citations 61,365 1,783 World Ranking 237 National Ranking 105

Biology and Biochemistry D-index 126 Citations 79,918 2,197 World Ranking 332 National Ranking 232

Overview

What is he best known for?

The fields of study he is best known for:

Gene
Quantum mechanics
Artificial intelligence

Chao Zhang mostly deals with Cell biology, Nanotechnology, Biochemistry, Kinase and Chemical engineering. His studies in Cell biology integrate themes in fields like Cyclin-dependent kinase 1, Cyclin-dependent kinase and Cell growth. His Nanotechnology research incorporates themes from Oxide and Electrode.

His Electrode study frequently draws connections between adjacent fields such as Optoelectronics. His Biochemistry study focuses mostly on Protein kinase A and Cyclin-dependent kinase 2. His studies deal with areas such as Molecular biology, Cancer research and Phosphorylation as well as Kinase.

His most cited work include:

Clinical efficacy of a RAF inhibitor needs broad target blockade in BRAF -mutant melanoma (1362 citations)
RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF (1354 citations)
Discovery of a selective inhibitor of oncogenic B-Raf kinase with potent antimelanoma activity (1071 citations)

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

His scientific interests lie mostly in Artificial intelligence, Composite material, Nanotechnology, Chemical engineering and Cell biology. His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition. Composite material is a component of his Composite number, Coating and Microstructure studies.

His specific area of interest is Nanotechnology, where Chao Zhang studies Graphene.

He most often published in these fields:

Artificial intelligence (9.58%)
Composite material (8.24%)
Nanotechnology (6.68%)

What were the highlights of his more recent work (between 2019-2021)?

Composite material (8.24%)
Artificial intelligence (9.58%)
Chemical engineering (6.46%)

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

His primary scientific interests are in Composite material, Artificial intelligence, Chemical engineering, Cancer research and Optoelectronics. Composite material is often connected to Finite element method in his work. His Artificial intelligence research includes themes of Natural language processing, Machine learning, Code and Pattern recognition.

Between 2019 and 2021, his most popular works were:

Proteomic and Metabolomic Characterization of COVID-19 Patient Sera. (280 citations)
A droplet-based electricity generator with high instantaneous power density (139 citations)
Light-driven methane dry reforming with single atomic site antenna-reactor plasmonic photocatalysts (65 citations)

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

Gene
Quantum mechanics
Artificial intelligence

His primary areas of study are Composite material, Artificial intelligence, Chemical engineering, Optoelectronics and Nanotechnology. His research ties Finite element method and Composite material together. As a part of the same scientific family, Chao Zhang mostly works in the field of Artificial intelligence, focusing on Natural language processing and, on occasion, Benchmark.

The concepts of his Chemical engineering study are interwoven with issues in Ion, Carbon and Oxygen evolution, Electrochemistry. His biological study deals with issues like Raman scattering, which deal with fields such as Plasmon. His Nanotechnology study frequently intersects with other fields, such as Self-healing hydrogels.

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

Clinical efficacy of a RAF inhibitor needs broad target blockade in BRAF -mutant melanoma

Gideon Bollag;Peter Hirth;James Tsai;Jiazhong Zhang.
Nature (2010)

1828 Citations

RAF inhibitors transactivate RAF dimers and ERK signalling in cells with wild-type BRAF

Poulikos I. Poulikakos;Chao Zhang;Gideon Bollag;Kevan M. Shokat.
Nature (2010)

1814 Citations

IRE1 Signaling Affects Cell Fate During the Unfolded Protein Response

Jonathan H. Lin;Han Li;Douglas Yasumura;Hannah R. Cohen.
Science (2007)

1481 Citations

Discovery of a selective inhibitor of oncogenic B-Raf kinase with potent antimelanoma activity

James Tsai;John T. Lee;Weiru Wang;Jiazhong Zhang.
Proceedings of the National Academy of Sciences of the United States of America (2008)

1454 Citations

RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors.

Fei Su;Amaya Viros;Carla Milagre;Kerstin Trunzer.
The New England Journal of Medicine (2012)

1093 Citations

Lanthanide Nanoparticles: From Design toward Bioimaging and Therapy

Hailiang Dong;Shuo-Ren Du;Xiao-Yu Zheng;Guang-Ming Lyu.
Chemical Reviews (2015)

883 Citations

The unfolded protein response signals through high-order assembly of Ire1.

Alexei V. Korennykh;Pascal F. Egea;Andrei A. Korostelev;Janet Finer-Moore.
Nature (2009)

679 Citations

Vemurafenib: the first drug approved for BRAF -mutant cancer

Gideon Bollag;James Tsai;Jiazhong Zhang;Chao Zhang.
Nature Reviews Drug Discovery (2012)

653 Citations

Structural bioinformatics-based design of selective, irreversible kinase inhibitors.

Michael S. Cohen;Chao Zhang;Kevan M. Shokat;Jack Taunton.
Science (2005)

649 Citations

Rapid self-healing hydrogels.

Ameya Phadke;Chao Zhang;Bedri Arman;Cheng-Chih Hsu.
Proceedings of the National Academy of Sciences of the United States of America (2012)

638 Citations

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