Chao-Guo Cao
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- Histone Deacetylase Inhibitors Research 1
- Cancer therapeutics and mechanisms 1
-
- Asymmetric Synthesis and Catalysis 2
- Co-authors
- Ming He (2 shared papers)Yu Rao (2 shared papers)Dawen Niu (3 shared papers)Jie Liu (2 shared papers)Hongbao Sun (1 shared paper)Xia Zhang (1 shared paper)Shuang Hao (1 shared paper)Xiuyun Sun (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Signal Transduction and Targeted Therapy (1 paper)Journal of Medicinal Chemistry (1 paper)Journal of the American Chemical Society (1 paper)Chemical Society Reviews (1 paper)
- Partner nations
- China
In The Last Decade
Chao-Guo Cao
9 papers receiving 848 citations
Chao-Guo Cao's Hit Papers
Peers
Comparison fields: 5 of 54
- Hematology 117
- Oncology 276
- Organic Chemistry 309
- Molecular Biology 546
- Inorganic Chemistry 111
Countries citing papers authored by Chao-Guo Cao
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
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-authors
The 25 scholars most cited alongside Chao-Guo Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Chemistries of bifunctional PROTAC degraders Hit paper breakdown → | 2022 | 204 |
| 2 | PROTACs: great opportunities for academia and industry (an update from 2020 to 2021) Hit paper breakdown → | 2022 | 192 |
| 3 | 2016 | 151 | |
| 4 | 2016 | 116 | |
| 5 | 2019 | 91 | |
| 6 | 2020 | 65 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 9 |
About Chao-Guo Cao
Chao-Guo Cao is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Inorganic Chemistry and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 859 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Asymmetric Synthesis and Catalysis (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Prostate Cancer Treatment and Research (1 paper), Hormonal and reproductive studies (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Hematology (117 citations), Oncology (276 citations), Organic Chemistry (309 citations), Molecular Biology (546 citations) and Inorganic Chemistry (111 citations). Chao-Guo Cao has collaborated with scholars based in China. Frequent co-authors include Ming He, Yu Rao, Dawen Niu, Jie Liu, Hongbao Sun, Xia Zhang, Shuang Hao, Xiuyun Sun, Zhihao Ni and Yongbo Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Signal Transduction and Targeted Therapy, Journal of Medicinal Chemistry, Journal of the American Chemical Society and Chemical Society Reviews.
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.