Chun‐Ping Cui

2.7k citations
61 papers · 1.7k · h-index 24

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Gut microbiota and health

Papers in

    • Ubiquitin and proteasome pathways 25
    • RNA modifications and cancer 6
    • Gut microbiota and health 5
    • Cancer, Hypoxia, and Metabolism 8

Chun‐Ping Cui

56 papers receiving 1.7k citations

Peers

Chun‐Ping Cui
Comparison fields: 5 of 99
  • Cancer Research 426
  • Molecular Biology 1.2k
  • Biological Psychiatry 37
  • Oncology 338
  • Immunology 209
Replace Ken Op de Beeck with:
Ken Op de Beeck Belgium
Chenji Wang China
Wei Ding China
Danilo Cucchi Italy
Ruchika Gangwar India
Renfang Mao China
Karine Belguise France
Fang Zhao China
Feng Qi China
Chun‐Ping Cui relative to Ken Op de Beeck Belgium Ken Op de Beeck's profile →
Citations per field
00.5×
Ken Op de Beeck · 1×
Citations per year

Countries citing papers authored by Chun‐Ping Cui

Since Specialization
Citations

This map shows the geographic impact of Chun‐Ping Cui'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 Chun‐Ping Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ping Cui more than expected).

Fields of papers citing papers by Chun‐Ping Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Ping Cui. 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 Chun‐Ping Cui. The network helps show where Chun‐Ping Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun‐Ping Cui, 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 Chun‐Ping Cui Line = papers co-authored together Chun‐Ping Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017173
2 2021114
3 2020106
4 2019104
5 201997
6 202084
7 201983
8 202180
9 201871
10 201857
11 201956
12 202347
13 201547
14 202047
15 202042
16 201534
17 201631
18 202230
19 201829
20 202224

About Chun‐Ping Cui

Chun‐Ping Cui is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pathology and Forensic Medicine and Epidemiology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (25 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Multiple Sclerosis Research Studies (7 papers), RNA modifications and cancer (6 papers), Liver physiology and pathology (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Cancer Research (426 citations), Molecular Biology (1.2k citations), Biological Psychiatry (37 citations), Oncology (338 citations) and Immunology (209 citations). Chun‐Ping Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lingqiang Zhang, Wei Qiu, Cui Hua Liu, Lin Fu, Fuchu He, Zhiqiang Peng, Hongchang Li, Xueli Zhang, Yifan Zhou and Song Guo Zheng. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Cell Death and Disease, Multiple Sclerosis and Related Disorders and Cell 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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