Chen‐Chen Kan

1.1k citations
16 papers · 970 · h-index 12

Impact in

    • Protease and Inhibitor Mechanisms
    • DNA Repair Mechanisms
    • Protein Structure and Dynamics
    • Angiogenesis and VEGF in Cancer
    • Protein Kinase Regulation and GTPase Signaling

Papers in

Chen‐Chen Kan

16 papers receiving 877 citations

Peers

Chen‐Chen Kan
Comparison fields: 5 of 62
  • Cancer Research 182
  • Molecular Biology 484
  • Epidemiology 176
  • Computational Theory and Mathematics 85
  • Materials Chemistry 142
Replace Will A. Stanley with:
Will A. Stanley Germany
Ingrid C. Deckman United States
J.-P. Marquette France
Dominik Wernic Canada
Elliott B. Nickbarg United States
Sean G. Rudd Sweden
Jowita Mikolajczyk United States
D. H. RICH United States
Allyn J. Schoeffler United States
Graham Catlin United Kingdom
Chen‐Chen Kan relative to Will A. Stanley Germany Will A. Stanley's profile →
Citations per field
00.5×2×3×4.4×
Will A. Stanley · 1×
Citations per year

Countries citing papers authored by Chen‐Chen Kan

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Chen Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999181
2 1994175
3 2000171
4 1996132
5 199673
6 199845
7 199542
8 199534
9 199830
10 200427
11 199221
12 200221
13 19957
14 20055
15 19974
16 20022

About Chen‐Chen Kan

Chen‐Chen Kan is a scholar working on Cancer Research, Epidemiology, Molecular Biology, Materials Chemistry and Infectious Diseases, having authored 16 papers that have together received 970 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Enzyme Structure and Function (4 papers), Biochemical and Molecular Research (2 papers), HIV/AIDS drug development and treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Protein Structure and Dynamics (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Cancer Research (182 citations), Molecular Biology (484 citations), Epidemiology (176 citations), Computational Theory and Mathematics (85 citations) and Materials Chemistry (142 citations). Chen‐Chen Kan has collaborated with scholars based in United States. Frequent co-authors include Stephen A. Margosiak, Michael R. Gehring, Christopher Pinko, Darin L. Vanderpool, Cheryl A. Janson, Zuzana Hostomska, Ping Chen, Daniel R. Knighton, Eleanor F. Howland and Katherine M. Welsh. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Cell, Antiviral Research and European Journal of Biochemistry.

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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