Chen Ding
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circadian rhythm and melatonin
Papers in ⓘ
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- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 5
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- Jun Qin (9 shared papers)Yimin Zhu (3 shared papers)Kefeng Pu (2 shared papers)Bei Zhen (8 shared papers)Lei Song (9 shared papers)Fuchu He (8 shared papers)Zhengquan Su (5 shared papers)Wanlin Liu (6 shared papers)
- Journals
- Nature Communications (5 papers)Molecular & Cellular Proteomics (3 papers)RSC Advances (3 papers)Acta Pharmacologica Sinica (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Ding
72 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 313
- Endocrine and Autonomic Systems 116
- Aging 29
- Molecular Biology 899
- Biomaterials 138
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
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 140 | |
| 2 | 2018 | 124 | |
| 3 | 2018 | 103 | |
| 4 | 2017 | 103 | |
| 5 | 2015 | 103 | |
| 6 | 2017 | 92 | |
| 7 | 2016 | 85 | |
| 8 | 2010 | 75 | |
| 9 | 2017 | 74 | |
| 10 | 2019 | 71 | |
| 11 | 2020 | 56 | |
| 12 | 2014 | 56 | |
| 13 | 2016 | 52 | |
| 14 | 2019 | 50 | |
| 15 | 2020 | 39 | |
| 16 | 2018 | 35 | |
| 17 | 2016 | 35 | |
| 18 | 2017 | 30 | |
| 19 | 2016 | 29 | |
| 20 | 2024 | 28 |
About Chen Ding
Chen Ding is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Surgery, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), RNA modifications and cancer (8 papers), Advanced Proteomics Techniques and Applications (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Ubiquitin and proteasome pathways (5 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (313 citations), Endocrine and Autonomic Systems (116 citations), Aging (29 citations), Molecular Biology (899 citations) and Biomaterials (138 citations). Chen Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Qin, Yimin Zhu, Kefeng Pu, Bei Zhen, Lei Song, Fuchu He, Zhengquan Su, Wanlin Liu, Jiao Guo and Wei Yuan. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, RSC Advances, Acta Pharmacologica Sinica and Scientific Reports.
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.