Yongkui Jing
- Molecular Biology top 1%
- Organic Chemistry top 2%
- Hematology top 1%
- Pharmacology top 1%
- Oncology top 5%
- Co-authors
- Samuel WaxmanJie DaiRona Singer WeinbergHuiming HuaLijuan XiaRuth M.E. Chalmers-RedmanZhan‐Lin LiLinxiang Zhao
- Topics
- Retinoids in leukemia and cellular processes (40 papers)Natural product bioactivities and synthesis (23 papers)Acute Myeloid Leukemia Research (15 papers)
- Cited by
- BiochemistryToxicologyHematology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yongkui Jing
137 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 4.2k
- Organic Chemistry 790
- Hematology 704
- Pharmacology 659
- Oncology 572
Countries citing papers authored by Yongkui Jing
This map shows the geographic impact of Yongkui Jing'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 Yongkui Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongkui Jing more than expected).
Fields of papers citing papers by Yongkui Jing
This network shows the impact of papers produced by Yongkui Jing. 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 Yongkui Jing. The network helps show where Yongkui Jing may publish in the future.
Co-authorship network of co-authors of Yongkui Jing
This figure shows the co-authorship network connecting the top 25 collaborators of Yongkui Jing. A scholar is included among the top collaborators of Yongkui Jing 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 Yongkui Jing. Yongkui Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 24 | |
| 6 | 5 | |
| 7 | 33 | |
| 8 | 33 | |
| 9 | 46 | |
| 10 | 20 | |
| 11 | 68 | |
| 12 | 56 | |
| 13 | 12 | |
| 14 | d-Limonene and d-carvone induce apoptosis in HL-60 cells through activation of caspase-8 | 11 |
| 15 | 31 | |
| 16 | 26 | |
| 17 | 11 | |
| 18 | Synthesis of Boswellic Acid Derivatives and Primary Research on their Activities | 6 |
| 19 | Dithiophenes potentiate differentiation of APL cells by lowering the threshold for ligand mediated co-repressor/co-activator exchange with RAR alpha and enhancing changes in ATRA regulated gene expression. | 1 |
| 20 | 245 |
About Yongkui Jing
Yongkui Jing is a scholar working on Toxicology, Molecular Biology and Hematology, having authored 140 papers that have together received 5.7k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (40 papers), Natural product bioactivities and synthesis (23 papers) and Acute Myeloid Leukemia Research (15 papers). The work is most often cited by research in Biochemistry (469 citations), Toxicology (229 citations) and Hematology (704 citations). Yongkui Jing has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Samuel Waxman, Jie Dai, Rona Singer Weinberg, Huiming Hua, Lijuan Xia, Ruth M.E. Chalmers-Redman, Zhan‐Lin Li, Linxiang Zhao, Rui Wang and Susannah Waxman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and ACS Nano.
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.