Chen Ding

12.1k citations
133 papers · 4.1k · 4 hit papers · h-index 29

Impact in

Papers in

    • Epigenetics and DNA Methylation 9
    • RNA modifications and cancer 8
    • Cancer-related gene regulation 6
    • Ubiquitin and proteasome pathways 5
    • interferon and immune responses 8

Chen Ding

122 papers receiving 4.0k citations

Chen Ding's Hit Papers

Spatial immune scoring system predicts hepatocellular carcinoma recurrence 2025 · 26 citations
260+3+7Years since publication250500750

Peers

Chen Ding
Comparison fields: 5 of 146
  • Biological Psychiatry 118
  • Cancer Research 577
  • Molecular Biology 2.4k
  • Immunology 611
  • Neurology 173
Replace Ying Liu with:
Ying Liu China
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Ricardo G. Correa United States
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Chen Ding relative to Ying Liu China Ying Liu's profile →
Citations per field
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Ying Liu · 1×
Citations per year

Countries citing papers authored by Chen Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chen Ding Line = papers co-authored together Chen Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dopamine Controls Systemic Inflammation through Inhibition of NLRP3 Inflammasome
Hit paper breakdown →
2015858
2 2011339
3
SIRT3‐dependent delactylation of cyclin E2 prevents hepatocellular carcinoma growth
Hit paper breakdown →
2023178
4 2021155
5 2018150
6 2016141
7 2014133
8 2017129
9 2022119
10 2021104
11 202090
12 201583
13 202382
14 201381
15 201578
16 201773
17 202164
18 202247
19 201746
20 201446

About Chen Ding

Chen Ding is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 133 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), interferon and immune responses (8 papers), RNA modifications and cancer (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Advanced Proteomics Techniques and Applications (8 papers), Ferroptosis and cancer prognosis (8 papers), Cancer-related gene regulation (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Biological Psychiatry (118 citations), Cancer Research (577 citations), Molecular Biology (2.4k citations), Immunology (611 citations) and Neurology (173 citations). Chen Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rongbin Zhou, Wei Jiang, Zhigang Tian, Lei Liu, Yiqing Yan, Xiaqiong Wang, Anna Malovannaya, Sung Yun Jung, Haiming Wei and Doug W. Chan. Their work appears in journals such as Journal of Proteome Research, World s Poultry Science Journal, Nature Communications, Oncotarget and Molecular & Cellular Proteomics.

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.

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