Jiang Chen
- Molecular Biology top 10%
- Oncology
- Cell Biology top 10%
- Organic Chemistry top 10%
- Genetics
- Co-authors
- Fuyuhiko TamanoiJuran Kato‐StankiewiczSung Chan KimYingming ZhaoSung Won KwonCarolyn WeinbaumD. K. BarmaJohn R. Falck
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Hedgehog Signaling Pathway Studies (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiang Chen
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 920
- Oncology 175
- Cell Biology 158
- Organic Chemistry 151
- Genetics 148
Countries citing papers authored by Jiang Chen
This map shows the geographic impact of Jiang 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 Jiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Chen more than expected).
Fields of papers citing papers by Jiang Chen
This network shows the impact of papers produced by Jiang 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 Jiang Chen. The network helps show where Jiang Chen may publish in the future.
Co-authorship network of co-authors of Jiang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Chen. A scholar is included among the top collaborators of Jiang 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 Jiang Chen. Jiang 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | 19 | |
| 13 | 7 | |
| 14 | 43 | |
| 15 | 14 | |
| 16 | 18 | |
| 17 | 57 | |
| 18 | Anti-tumor effects of Agrimonia Pilosa Ledeb .on SMMC-7721 hepatocellular carcinoma cells and its mechanisms | 2 |
| 19 | 256 | |
| 20 | 55 |
About Jiang Chen
Jiang Chen is a scholar working on Medical Laboratory Technology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Hedgehog Signaling Pathway Studies (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (59 citations), Molecular Biology (920 citations) and Clinical Biochemistry (82 citations). Jiang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fuyuhiko Tamanoi, Juran Kato‐Stankiewicz, Sung Chan Kim, Yingming Zhao, Sung Won Kwon, Carolyn Weinbaum, D. K. Barma, John R. Falck, Yoonjung Kho and Jinke Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.