Chao-Guo Cao

995 total citations · 2 hit papers
9 papers, 817 citations indexed

About

Chao-Guo Cao is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Chao-Guo Cao has authored 9 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Chao-Guo Cao's work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers) and Asymmetric Synthesis and Catalysis (2 papers). Chao-Guo Cao is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers) and Asymmetric Synthesis and Catalysis (2 papers). Chao-Guo Cao collaborates with scholars based in China. Chao-Guo Cao's co-authors include Ming He, Yu Rao, Dawen Niu, Jie Liu, Liguo Wang, Xia Zhang, Hongbao Sun, Yongbo Liu, Xiuyun Sun and Shuang Hao and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and ACS Catalysis.

In The Last Decade

Chao-Guo Cao

9 papers receiving 808 citations

Hit Papers

Chemistries of bifunctional PROTAC degraders 2022 2026 2023 2024 2022 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao-Guo Cao China 9 519 304 275 119 109 9 817
Jiantao Hu China 9 534 1.0× 326 1.1× 211 0.8× 201 1.7× 50 0.5× 17 871
Bukeyan Miao China 16 602 1.2× 522 1.7× 264 1.0× 190 1.6× 136 1.2× 18 1.2k
Brendan Frett United States 20 493 0.9× 531 1.7× 190 0.7× 53 0.4× 39 0.4× 53 1.0k
Anthony D. William Singapore 16 378 0.7× 341 1.1× 271 1.0× 183 1.5× 57 0.5× 25 922
Meizhong Jin United States 13 340 0.7× 359 1.2× 141 0.5× 77 0.6× 32 0.3× 20 725
Mette Ishoey Denmark 7 614 1.2× 277 0.9× 210 0.8× 183 1.5× 52 0.5× 8 878
Andreas Sellmer Germany 20 711 1.4× 471 1.5× 277 1.0× 101 0.8× 19 0.2× 35 1.1k
Kam Siu United States 8 883 1.7× 132 0.4× 304 1.1× 274 2.3× 24 0.2× 10 1.0k
Lars Wortmann Germany 11 476 0.9× 172 0.6× 232 0.8× 28 0.2× 21 0.2× 18 692
Alan G. Olivero United States 13 312 0.6× 200 0.7× 89 0.3× 73 0.6× 30 0.3× 26 618

Countries citing papers authored by Chao-Guo Cao

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Guo Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Guo Cao. 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 Chao-Guo Cao. The network helps show where Chao-Guo Cao may publish in the future.

Co-authorship network of co-authors of Chao-Guo Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Guo Cao. A scholar is included among the top collaborators of Chao-Guo Cao 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 Chao-Guo Cao. Chao-Guo Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cao, Chao-Guo, et al.. (2022). Chemistries of bifunctional PROTAC degraders. Chemical Society Reviews. 51(16). 7066–7114. 187 indexed citations breakdown →
2.
He, Ming, Chao-Guo Cao, Yongbo Liu, et al.. (2022). PROTACs: great opportunities for academia and industry (an update from 2020 to 2021). Signal Transduction and Targeted Therapy. 7(1). 181–181. 179 indexed citations breakdown →
3.
Cao, Chao-Guo, Jie Yang, Yong Chen, et al.. (2020). Discovery of SK-575 as a Highly Potent and Efficacious Proteolysis-Targeting Chimera Degrader of PARP1 for Treating Cancers. Journal of Medicinal Chemistry. 63(19). 11012–11033. 65 indexed citations
4.
Yang, Jie, Chao-Guo Cao, Dan Luo, et al.. (2020). Discovery of 4-(3,5-dimethoxy-4-(((4-methoxyphenethyl)amino)methyl)phenoxy)-N-phenylaniline as a novel c-myc inhibitor against colorectal cancer in vitro and in vivo. European Journal of Medicinal Chemistry. 198. 112336–112336. 8 indexed citations
5.
Chen, Luyu, Chao-Guo Cao, Lifeng Zhao, et al.. (2019). Development of selective mono or dual PROTAC degrader probe of CDK isoforms. European Journal of Medicinal Chemistry. 187. 111952–111952. 85 indexed citations
6.
Yan, Guoyi, et al.. (2019). Discovery and biological evaluation of novel androgen receptor antagonist for castration-resistant prostate cancer. European Journal of Medicinal Chemistry. 171. 265–281. 14 indexed citations
7.
Cao, Chao-Guo, Bin He, Zhengyan Fu, & Dawen Niu. (2019). Synthesis of β3-Amino Esters by Iridium-Catalyzed Asymmetric Allylic Alkylation Reaction. Organic Process Research & Development. 23(8). 1758–1761. 16 indexed citations
8.
Zhan, Miao, Ren‐Zhe Li, Ze‐Dong Mou, et al.. (2016). Silver-Assisted, Iridium-Catalyzed Allylation of Bis[(pinacolato)boryl]methane Allows the Synthesis of Enantioenriched Homoallylic Organoboronic Esters. ACS Catalysis. 6(5). 3381–3386. 114 indexed citations
9.
Liu, Jie, Chao-Guo Cao, Hongbao Sun, Xia Zhang, & Dawen Niu. (2016). Catalytic Asymmetric Umpolung Allylation of Imines. Journal of the American Chemical Society. 138(40). 13103–13106. 149 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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