C Chen

602 citations
7 papers · 495 · h-index 6

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis
    • Ubiquitin and proteasome pathways
    • Cancer-related gene regulation
    • Kruppel-like factors research
    • Protein Degradation and Inhibitors

Papers in

    • Ubiquitin and proteasome pathways 5
    • Cancer-related gene regulation 3
    • Kruppel-like factors research 2
    • Cell death mechanisms and regulation 1
    • Histone Deacetylase Inhibitors Research 1
    • Cancer-related Molecular Pathways 2
    • Peptidase Inhibition and Analysis 2

C Chen

7 papers receiving 489 citations

Peers

C Chen
Comparison fields: 5 of 46
  • Oncology 238
  • Molecular Biology 444
  • Cancer Research 67
  • Cell Biology 56
  • Genetics 93
Replace Zelda Lichtensztejn with:
Zelda Lichtensztejn Canada
Eran Kotler Israel
Christina Schülein‐Völk Germany
A. Montagnoli Italy
Mika Bessho United States
Jessie Jeffery Australia
David Sedwick United States
N C Cheng Netherlands
Ekaterina Gresko Switzerland
Jeffrey Hannah United States
C Chen relative to Zelda Lichtensztejn Canada Zelda Lichtensztejn's profile →
Citations per field
00.5×1.7×
Zelda Lichtensztejn · 1×
Citations per year

Countries citing papers authored by C Chen

Since Specialization
Citations

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

Fields of papers citing papers by C Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside C 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 C Chen Line = papers co-authored together C Chen links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008129
2 2006107
3 200988
4 200966
5 200852
6 201352
7 20091

About C Chen

C Chen is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Biotechnology, having authored 7 papers that have together received 495 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Cancer-related gene regulation (3 papers), Kruppel-like factors research (2 papers), Cancer-related Molecular Pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Cell death mechanisms and regulation (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (238 citations), Molecular Biology (444 citations), Cancer Research (67 citations), Cell Biology (56 citations) and Genetics (93 citations). C Chen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zhongmei Zhou, Jian Huang, Maurizio Alimandi, Hanqiu Zheng, Jin‐Tang Dong, John A. Petros, Xun Sun, Wei Zhou, Frierson Hf and Arun Seth. Their work appears in journals such as Oncogene, Cell Death and Disease, Cell Death and Differentiation 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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