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
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- Neuroscience and Neuropharmacology Research 2
- Neuropeptides and Animal Physiology 1
- Neuroscience and Neural Engineering 1
- Genetic Neurodegenerative Diseases 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)Hannah M. Stoveken (1 shared paper)Xianhua Piao (1 shared paper)Gabriel Salzman (1 shared paper)
- Journals
- Neuron (2 papers)eLife (2 papers)The Journal of Cell Biology (1 paper)Journal of Clinical Investigation (1 paper)Current Opinion in Neurobiology (1 paper)
- Partner nations
- United StatesBulgariaItaly
In The Last Decade
Chen Ding
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 67
- Aging 47
- Cellular and Molecular Neuroscience 117
- Developmental Neuroscience 19
- Behavioral Neuroscience 15
- Immunology and Allergy 21
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 | 98 | |
| 2 | 2015 | 71 | |
| 3 | 2018 | 47 | |
| 4 | 2022 | 31 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 17 | |
| 7 | 2024 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2025 | 3 |
About Chen Ding
Chen Ding is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Geriatrics and Gerontology and Developmental Neuroscience, having authored 9 papers that have together received 311 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), Neuropeptides and Animal Physiology (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Neuroscience and Neural Engineering (1 paper), RNA regulation and disease (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Aging (47 citations), Cellular and Molecular Neuroscience (117 citations), Developmental Neuroscience (19 citations), Behavioral Neuroscience (15 citations) and Immunology and Allergy (21 citations). Chen Ding has collaborated with scholars based in United States, Bulgaria and Italy. Frequent co-authors include Marc Hammarlund, Katherine J. Sellers, Pooja Raval, Deepak P. Srivastava, Youjun Wu, Hannah M. Stoveken, Xianhua Piao, Gabriel Salzman, Sarah D. Ackerman and Kelly R. Monk. Their work appears in journals such as Neuron, eLife, The Journal of Cell Biology, Journal of Clinical Investigation and Current Opinion in Neurobiology.
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.