Chen Ding
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Nerve injury and regeneration 1
- Neuroscience and Neural Engineering 1
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- Mitochondrial Function and Pathology 3
- Ion channel regulation and function 1
- Co-authors
- Marc Hammarlund (6 shared papers)Katherine J. Sellers (1 shared paper)Pooja Raval (1 shared paper)Deepak P. Srivastava (1 shared paper)Youjun Wu (2 shared papers)Sarah D. Ackerman (1 shared paper)Gregory G. Tall (1 shared paper)Celia Fernandez (1 shared paper)
- Journals
- eLife (2 papers)Neuron (2 papers)The Journal of Cell Biology (1 paper)Developmental Cell (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Chen Ding
8 papers receiving 291 citations
Peers
Comparison fields: 5 of 69
- Aging 46
- Cellular and Molecular Neuroscience 116
- Developmental Neuroscience 20
- Behavioral Neuroscience 15
- Endocrine and Autonomic Systems 22
Countries citing papers authored by Chen Ding
This map shows the geographic impact of Chen Ding'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 Chen Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ding more than expected).
Fields of papers citing papers by Chen Ding
This network shows the impact of papers produced by Chen Ding. 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 Chen Ding. The network helps show where Chen Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2015 | 68 | |
| 3 | 2018 | 47 | |
| 4 | 2022 | 29 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2025 | 0 |
About Chen Ding
Chen Ding is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Aging, Cell Biology and Geriatrics and Gerontology, having authored 9 papers that have together received 291 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Mitochondrial Function and Pathology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ion channel regulation and function (1 paper), Nerve injury and regeneration (1 paper), Neuroscience and Neural Engineering (1 paper) and Calpain Protease Function and Regulation (1 paper). The work is most often cited by research in Aging (46 citations), Cellular and Molecular Neuroscience (116 citations), Developmental Neuroscience (20 citations), Behavioral Neuroscience (15 citations) and Endocrine and Autonomic Systems (22 citations). Chen Ding has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Marc Hammarlund, Katherine J. Sellers, Pooja Raval, Deepak P. Srivastava, Youjun Wu, Sarah D. Ackerman, Gregory G. Tall, Celia Fernandez, Akiko Koide and Demet Araç. Their work appears in journals such as eLife, Neuron, The Journal of Cell Biology, Developmental Cell 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.