Hanqing Dong
- Molecular Biology top 2%
- Oncology top 2%
- Organic Chemistry top 2%
- Hematology top 1%
- Inorganic Chemistry top 5%
- Co-authors
- Craig M. CrewsYimin QianAndrew P. CrewJing WangGuo‐Qiang LinJohn HinesPing TianKanak Raina
- Topics
- Protein Degradation and Inhibitors (16 papers)Ubiquitin and proteasome pathways (10 papers)Prostate Cancer Treatment and Research (8 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesChinaGermany
In The Last Decade
Hanqing Dong
50 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 3.4k
- Oncology 1.3k
- Organic Chemistry 1.0k
- Hematology 961
- Inorganic Chemistry 333
Countries citing papers authored by Hanqing Dong
This map shows the geographic impact of Hanqing Dong'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 Hanqing Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanqing Dong more than expected).
Fields of papers citing papers by Hanqing Dong
This network shows the impact of papers produced by Hanqing Dong. 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 Hanqing Dong. The network helps show where Hanqing Dong may publish in the future.
Co-authorship network of co-authors of Hanqing Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Hanqing Dong. A scholar is included among the top collaborators of Hanqing Dong 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 Hanqing Dong. Hanqing Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 273 | |
| 4 | 258 | |
| 5 | The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Studybreakdown → | 488 |
| 6 | PROTAC-induced BET protein degradation as a therapy for castration-resistant prostate cancerbreakdown → | 661 |
| 7 | Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4breakdown → | 849 |
| 8 | 109 | |
| 9 | 99 | |
| 10 | 185 | |
| 11 | 393 | |
| 12 | 13 | |
| 13 | 64 | |
| 14 | 40 | |
| 15 | 60 | |
| 16 | 92 | |
| 17 | 59 | |
| 18 | 72 | |
| 19 | 23 | |
| 20 | 35 |
About Hanqing Dong
Hanqing Dong is a scholar working on Organic Chemistry, Hematology and Molecular Biology, having authored 51 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (16 papers), Ubiquitin and proteasome pathways (10 papers) and Prostate Cancer Treatment and Research (8 papers). The work is most often cited by research in Hematology (961 citations), Molecular Biology (3.4k citations) and Oncology (1.3k citations). Hanqing Dong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Craig M. Crews, Yimin Qian, Andrew P. Crew, Jing Wang, Guo‐Qiang Lin, John Hines, Ping Tian, Kanak Raina, James D. Winkler and Kevin Coleman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.