Dan Chen
Impact in
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- Cell death mechanisms and regulation
- Inflammasome and immune disorders
- Mitochondrial Function and Pathology
- Circular RNAs in diseases
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cell death mechanisms and regulation 10
- Signaling Pathways in Disease 2
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- Calpain Protease Function and Regulation 6
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Kun Xiong (17 shared papers)Jufang Huang (19 shared papers)Mingyong Zhou (4 shared papers)Bingyan Jiang (2 shared papers)Lvshuang Liao (9 shared papers)Hongyu Guo (1 shared paper)Shuchao Wang (9 shared papers)Fengxia Liu (7 shared papers)
- Journals
- Biopreservation and Biobanking (5 papers)PLoS ONE (3 papers)Physics of Fluids (2 papers)Frontiers in Cellular Neuroscience (2 papers)Current Eye Research (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Chen
49 papers receiving 849 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 436
- Cancer Research 82
- Cell Biology 93
- Ophthalmology 33
- Neurology 31
Countries citing papers authored by Dan Chen
This map shows the geographic impact of Dan 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 Dan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chen more than expected).
Fields of papers citing papers by Dan Chen
This network shows the impact of papers produced by Dan 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 Dan Chen. The network helps show where Dan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 64 | |
| 2 | 2008 | 48 | |
| 3 | 2017 | 45 | |
| 4 | 2013 | 43 | |
| 5 | 2011 | 40 | |
| 6 | 2015 | 37 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2018 | 30 | |
| 11 | 2020 | 27 | |
| 12 | 2016 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2017 | 25 | |
| 15 | 2012 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2016 | 19 | |
| 19 | 2016 | 19 | |
| 20 | 2022 | 18 |
About Dan Chen
Dan Chen is a scholar working on Molecular Biology, Cell Biology, Ophthalmology, Biomedical Engineering and Physiology, having authored 52 papers that have together received 857 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Calpain Protease Function and Regulation (6 papers), Glaucoma and retinal disorders (5 papers), Paleopathology and ancient diseases (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Molecular Biology (436 citations), Cancer Research (82 citations), Cell Biology (93 citations), Ophthalmology (33 citations) and Neurology (31 citations). Dan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kun Xiong, Jufang Huang, Mingyong Zhou, Bingyan Jiang, Lvshuang Liao, Hongyu Guo, Shuchao Wang, Fengxia Liu, Mi Wang and Zhen Wang. Their work appears in journals such as Biopreservation and Biobanking, PLoS ONE, Physics of Fluids, Frontiers in Cellular Neuroscience and Current Eye Research.
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.