Ceshi Chen

10.2k citations
182 papers · 6.8k indexed · 1 hit paper · h-index 49
    • Cancer-related molecular mechanisms research 15
    • Kruppel-like factors research 48
    • Cancer-related gene regulation 37
    • Ubiquitin and proteasome pathways 33
    • Epigenetics and DNA Methylation 18
  • Oncology top 2%
    • Cancer-related Molecular Pathways 27
    • Cancer Cells and Metastasis 16
  • Genetics top 2%
    • Genetic Syndromes and Imprinting 12

Ceshi Chen

176 papers receiving 6.7k citations

Hit Papers

Activation of PI3K/AKT/mTOR Pathway Causes Drug Resistanc...256202120262022202450100150200250

Peers

Ceshi Chen
Comparison fields: 5 of 130
  • Cancer Research 1.6k
  • Molecular Biology 5.2k
  • Oncology 1.6k
  • Cell Biology 656
  • Genetics 915
Replace Rakesh Kumar with:
Rakesh Kumar United States
Xianxin Hua United States
Karen Blyth United Kingdom
Gen Sheng Wu United States
Masatoshi Kitagawa Japan
Shigeo Sato Japan
Carlo Rago United States
Roseline Godbout Canada
Juan Carlos Lacal Spain
Srikumar Chellappan United States
Ceshi Chen relative to Rakesh Kumar United States Rakesh Kumar's profile →
Citations per field
00.5×10×14×
Rakesh Kumar · 1×
Citations per year

Countries citing papers authored by Ceshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ceshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ceshi Chen. 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 Ceshi Chen. The network helps show where Ceshi Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20243
3 20248
4 20240
5 20241
6 20243
7 202426
8 20241
9 202419
10 20239
11 202315
12 20235
13 20234
14 20236
15 202217
16 202060
17 201982
18 201830
19 201651
20 201263

About Ceshi Chen

Ceshi Chen is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 182 papers that have together received 6.8k indexed citations. Recurring topics across this work include Kruppel-like factors research (48 papers), Cancer-related gene regulation (37 papers), Ubiquitin and proteasome pathways (33 papers), Cancer-related Molecular Pathways (27 papers), Epigenetics and DNA Methylation (18 papers), Cancer Cells and Metastasis (16 papers), Cancer-related molecular mechanisms research (15 papers) and Genetic Syndromes and Imprinting (12 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (5.2k citations) and Oncology (1.6k citations). Ceshi Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jin‐Tang Dong, Zhongmei Zhou, Rong Liu, Xu Zhi, Lydia E. Matesic, Xiaodong Sun, Jiao Wu, Chao Dong, Robert L. Vessella and Wenlin Chen. Their work appears in journals such as Cancer Research, Acta Biochimica et Biophysica Sinica, International Journal of Biological Sciences, Journal of Biological Chemistry and International Journal of Cancer.

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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