Chen Ding

3.6k citations
78 papers · 2.0k · h-index 24

Impact in

Papers in

    • RNA modifications and cancer 7
    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 4
    • Liver Disease Diagnosis and Treatment 9

Chen Ding

74 papers receiving 1.9k citations

Peers

Chen Ding
Comparison fields: 5 of 132
  • Cancer Research 273
  • Endocrine and Autonomic Systems 111
  • Aging 28
  • Molecular Biology 839
  • Biomaterials 138
Replace Mikko O. Laukkanen with:
Mikko O. Laukkanen Italy
Guei‐Sheung Liu Australia
Sang‐Hyun Lee South Korea
Henrique Girão Portugal
Xiaofei Li China
Jichao Chen United States
Weijun Wang United States
Manash K. Paul United States
Min Liu China
Esteban N. Gurzov Belgium
Chen Ding relative to Mikko O. Laukkanen Italy Mikko O. Laukkanen's profile →
Citations per field
00.5×4.2×
Mikko O. Laukkanen · 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017142
2 2018125
3 2018106
4 2015104
5 2017104
6 201793
7 201689
8 201777
9 201075
10 201974
11 202058
12 201457
13 201653
14 201951
15 202040
16 201839
17 202436
18 201635
19 201730
20 201630

About Chen Ding

Chen Ding is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Surgery, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), RNA modifications and cancer (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Cancer Research (273 citations), Endocrine and Autonomic Systems (111 citations), Aging (28 citations), Molecular Biology (839 citations) and Biomaterials (138 citations). Chen Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kefeng Pu, Jun Qin, Yimin Zhu, Bei Zhen, Fuchu He, Lei Song, Zhengquan Su, Wanlin Liu, Wei Yuan and Jiao Guo. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, RSC Advances, Acta Pharmacologica Sinica and Cancer 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.

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