Yimin Qian
- Molecular Biology top 1%
- Oncology top 1%
- Hematology top 1%
- Cancer Research top 5%
- Organic Chemistry top 5%
- Co-authors
- Andrew D. HamiltonSaı̈d M. SebtiCraig M. CrewsHanqing DongJiazhi SunAndrew P. CrewJing WangAndreas Vogt
- Topics
- Protein Degradation and Inhibitors (21 papers)Protein Kinase Regulation and GTPase Signaling (20 papers)Ubiquitin and proteasome pathways (15 papers)
- Cited by
- HematologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yimin Qian
72 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 5.0k
- Oncology 2.3k
- Hematology 1.1k
- Cancer Research 409
- Organic Chemistry 394
Countries citing papers authored by Yimin Qian
This map shows the geographic impact of Yimin Qian'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 Yimin Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yimin Qian more than expected).
Fields of papers citing papers by Yimin Qian
This network shows the impact of papers produced by Yimin Qian. 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 Yimin Qian. The network helps show where Yimin Qian may publish in the future.
Co-authorship network of co-authors of Yimin Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Yimin Qian. A scholar is included among the top collaborators of Yimin Qian 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 Yimin Qian. Yimin Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 56 | |
| 4 | 1 | |
| 5 | 136 | |
| 6 | The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Studybreakdown → | 488 |
| 7 | 8 | |
| 8 | Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4breakdown → | 849 |
| 9 | 30 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 188 | |
| 13 | Inhibiting Ras prenylation increases the radiosensitivity of human tumor cell lines with activating mutations of ras oncogenes. | 154 |
| 14 | 62 | |
| 15 | 160 | |
| 16 | 108 | |
| 17 | 314 | |
| 18 | 95 | |
| 19 | 16 | |
| 20 | 34 |
About Yimin Qian
Yimin Qian is a scholar working on Hematology, Oncology and Molecular Biology, having authored 73 papers that have together received 5.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (21 papers), Protein Kinase Regulation and GTPase Signaling (20 papers) and Ubiquitin and proteasome pathways (15 papers). The work is most often cited by research in Hematology (1.1k citations), Oncology (2.3k citations) and Molecular Biology (5.0k citations). Yimin Qian has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Andrew D. Hamilton, Saı̈d M. Sebti, Craig M. Crews, Hanqing Dong, Jiazhi Sun, Andrew P. Crew, Jing Wang, Andreas Vogt, John Hines and Kanak Raina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.