Jing Chen
- Molecular Biology top 10%
- Epidemiology top 5%
- Neurology top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Topics
- Lung Cancer Treatments and Mutations (14 papers)Lung Cancer Research Studies (12 papers)Intracerebral and Subarachnoid Hemorrhage Research (11 papers)
- Cited by
- NeurologyGeneticsNephrology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Chen
212 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 1.2k
- Epidemiology 591
- Neurology 555
- Endocrinology, Diabetes and Metabolism 493
- Surgery 388
Countries citing papers authored by Jing Chen
This map shows the geographic impact of Jing Chen'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 Jing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Chen more than expected).
Fields of papers citing papers by Jing Chen
This network shows the impact of papers produced by Jing Chen. 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 Jing Chen. The network helps show where Jing Chen may publish in the future.
Co-authorship network of co-authors of Jing Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Chen. A scholar is included among the top collaborators of Jing Chen 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 Jing Chen. Jing Chen 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | Numerical simulation of multi-directional wave and structure interaction | 2 |
| 15 | 7 | |
| 16 | 10 | |
| 17 | Effect of specimen storage time on neonatal blood glucose level | 2 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Insulin increases and metformin decreases the novel adipokine chemerin in insulin resistant subjects: PCOS as a paradigm | 1 |
About Jing Chen
Jing Chen is a scholar working on Otorhinolaryngology, Endocrinology, Diabetes and Metabolism and Neurology, having authored 234 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Research Studies (12 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). The work is most often cited by research in Neurology (555 citations), Genetics (350 citations) and Nephrology (218 citations). Jing Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haining Zhu, József Gál, Jiang He, Fang Huang, Yanchun Wang, Xiao‐Yi Xiong, Qingwu Yang, L. Lee Hamm, Paul K. Whelton and Vecihi Batuman. 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.