Chu Wang

14.1k total citations · 4 hit papers
245 papers, 9.8k citations indexed

About

Chu Wang is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Chu Wang has authored 245 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 53 papers in Organic Chemistry and 35 papers in Oncology. Recurrent topics in Chu Wang's work include Click Chemistry and Applications (31 papers), Peptidase Inhibition and Analysis (19 papers) and HIV Research and Treatment (16 papers). Chu Wang is often cited by papers focused on Click Chemistry and Applications (31 papers), Peptidase Inhibition and Analysis (19 papers) and HIV Research and Treatment (16 papers). Chu Wang collaborates with scholars based in China, United States and France. Chu Wang's co-authors include David Baker, Benjamin F. Cravatt, Ora Schueler‐Furman, Eranthie Weerapana, Daniel A. Bachovchin, Philip Bradley, Gabriel M. Simon, Sagar D. Khare, Florian Richter and Kerri Mowen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Chu Wang

233 papers receiving 9.7k citations

Hit Papers

Quantitative reactivity profiling predicts functional cys... 2003 2026 2010 2018 2010 2003 2007 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chu Wang China 43 6.4k 2.1k 1.3k 1.1k 976 245 9.8k
Pedro Alexandrino Fernandes Portugal 52 6.3k 1.0× 2.1k 1.0× 2.0k 1.5× 1.1k 1.0× 527 0.5× 376 11.8k
Roderick E. Hubbard United Kingdom 43 7.7k 1.2× 1.5k 0.7× 1.6k 1.2× 1.5k 1.4× 724 0.7× 110 11.9k
P. Nordlund Sweden 60 10.6k 1.7× 957 0.5× 2.0k 1.5× 2.6k 2.4× 1.0k 1.1× 181 15.4k
Maurizio Pellecchia United States 56 7.7k 1.2× 1.1k 0.6× 598 0.5× 1.9k 1.8× 471 0.5× 205 11.1k
David W. Banner Switzerland 45 4.2k 0.6× 2.2k 1.1× 1.0k 0.8× 738 0.7× 400 0.4× 103 9.1k
Anton Simeonov United States 65 8.4k 1.3× 1.5k 0.7× 658 0.5× 1.5k 1.4× 404 0.4× 298 14.1k
Robert A. Copeland United States 44 7.6k 1.2× 1.4k 0.7× 610 0.5× 1.8k 1.7× 442 0.5× 165 11.9k
Jens Erik Nielsen Ireland 31 6.9k 1.1× 713 0.3× 1.6k 1.2× 539 0.5× 394 0.4× 62 9.6k
Jason Swails United States 15 7.2k 1.1× 989 0.5× 1.5k 1.1× 600 0.6× 717 0.7× 19 10.3k
Dietmar Schomburg Germany 60 10.4k 1.6× 2.4k 1.2× 1.9k 1.4× 993 0.9× 837 0.9× 381 16.4k

Countries citing papers authored by Chu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chu Wang. A scholar is included among the top collaborators of Chu Wang 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 Chu Wang. Chu Wang 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.
Chen, Xiangyang, Xiangyu Li, Chu Wang, et al.. (2024). Foliar application of selenium promotes starch content accumulation and quality enhancement in foxtail millet grains. Field Crops Research. 310. 109352–109352. 12 indexed citations
2.
Wei, Tiantian, Yuan Liu, Yao Cheng, et al.. (2024). Discovery of metal-binding proteins by thermal proteome profiling. Nature Chemical Biology. 20(6). 770–778. 16 indexed citations
3.
Zhang, Xun, X. Wen, Ruiyun Peng, et al.. (2024). A first-in-human phase I study of a novel MDM2/p53 inhibitor alrizomadlin in advanced solid tumors. ESMO Open. 9(8). 103636–103636. 16 indexed citations
5.
Zhou, Shiwei, et al.. (2024). Projection of future drought impacts on millet yield in northern Shanxi of China using ensemble machine learning approach. Computers and Electronics in Agriculture. 218. 108725–108725. 4 indexed citations
6.
Wang, Chu, Gan Wang, Patrick O’Neill, et al.. (2024). Strain‐Release‐Driven Electrochemical Skeletal Rearrangement of Non‐Biased Alkyl Cyclopropanes/Butanes. Angewandte Chemie. 137(1).
7.
Guo, Weiming, Yuan Liu, Yu Han, et al.. (2024). Amplifiable protein identification via residue-resolved barcoding and composition code counting. National Science Review. 11(7). nwae183–nwae183. 4 indexed citations
8.
Wang, Chu, Gan Wang, Patrick O’Neill, et al.. (2024). Strain‐Release‐Driven Electrochemical Skeletal Rearrangement of Non‐Biased Alkyl Cyclopropanes/Butanes. Angewandte Chemie International Edition. 64(1). e202413723–e202413723. 6 indexed citations
9.
Wang, Chu, Chao Wang, Xiaohuan Sun, et al.. (2023). Supramolecular Chiral Nanozymes with High and Switchable Enantioselectivity. SHILAP Revista de lepidopterología. 4(8). 13 indexed citations
10.
Li, Minming, et al.. (2023). Ferroptosis triggers airway inflammation in asthma. Therapeutic Advances in Respiratory Disease. 17. 2683787956–2683787956. 17 indexed citations
11.
Wu, Xiang, et al.. (2023). Neutral-point voltage control of the three-level inverter in permanent magnet synchronous motor based direct-drive belt conveyor. Computers & Electrical Engineering. 110. 108840–108840.
12.
Cheng, Yao, Haobo Wang, Hua Xu, et al.. (2023). Co-evolution-based prediction of metal-binding sites in proteomes by machine learning. Nature Chemical Biology. 19(5). 548–555. 28 indexed citations
13.
Wang, Chu, et al.. (2023). Exploration of the Product Specificity of chitosanase CsnMY002 and Mutants Using Molecular Dynamics Simulations. Molecules. 28(3). 1048–1048. 5 indexed citations
14.
Liang, Jing, Weijia Li, Wenjing Yang, et al.. (2023). Mechanistic Understanding and Reactivity Analyses for the Photochemistry of Disubstituted Tetrazoles. The Journal of Physical Chemistry A. 127(18). 4115–4124. 6 indexed citations
15.
Zhang, Xiaorui, Weijia Li, Chu Wang, et al.. (2023). Extended Single-Electron Transfer Model and Dynamically Associated Energy Transfer Event in a Dual-Functional Catalyst System. JACS Au. 3(5). 1452–1463. 5 indexed citations
16.
Wang, Chu, Ying Wang, Jing Chen, et al.. (2022). Synthesis of 4‐methylvaleric acid, a precursor of pogostone, involves a 2‐isobutylmalate synthase related to 2‐isopropylmalate synthase of leucine biosynthesis. New Phytologist. 235(3). 1129–1145. 10 indexed citations
17.
Horstmann, Julia, Michele Lunelli, Caroline Kühne, et al.. (2020). Methylation of Salmonella Typhimurium flagella promotes bacterial adhesion and host cell invasion. Nature Communications. 11(1). 2013–2013. 87 indexed citations
18.
Li, Xiaoyuan, Chu Wang, Qibin Yu, et al.. (2019). Inhibition of BpEIN3 causes plaques in leaves of Betula platyphylla × B. pendula. Trees. 34(2). 483–495. 2 indexed citations
19.
Hua, Guoqiang, Chu Wang, Yan Pan, et al.. (2017). Distinct Levels of Radioresistance in Lgr5+ Colonic Epithelial Stem Cells versus Lgr5+ Small Intestinal Stem Cells. Cancer Research. 77(8). 2124–2133. 44 indexed citations
20.
Bachovchin, Daniel A., Justin T. Mohr, Anna E Speers, et al.. (2011). Academic cross-fertilization by public screening yields a remarkable class of protein phosphatase methylesterase-1 inhibitors. Proceedings of the National Academy of Sciences. 108(17). 6811–6816. 87 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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