Charles Cheng

691 citations
19 papers · 607 · h-index 13

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • bioluminescence and chemiluminescence research 2
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Charles Cheng

19 papers receiving 599 citations

Peers

Charles Cheng
Comparison fields: 5 of 79
  • Neurology 162
  • Developmental Neuroscience 75
  • Aging 20
  • Genetics 120
  • Cancer Research 76
Replace Arnaud Bocquet with:
Arnaud Bocquet France
Elena Cigola United States
Belinda Cairns United States
Chengshi Xu China
Ruen Liu China
Hansjörg Habisch Austria
Irina Mikolaenko United States
Phillip T. Newton Sweden
Johanna I. Partanen Finland
Haruko Kawaguchi Japan
Charles Cheng relative to Arnaud Bocquet France Arnaud Bocquet's profile →
Citations per field
00.5×1.5×2.3×
Arnaud Bocquet · 1×
Citations per year

Countries citing papers authored by Charles Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Charles Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004143
2 199875
3 199861
4 200149
5 200241
6 200440
7 198835
8 198928
9 200028
10 198927
11 199219
12 199215
13 199114
14 199212
15 19898
16
Mitogenic activity and plasminogen activator in harvest fluid concentrates from mammary cells in culture.
19807
17 20223
18 19881
19 20031

About Charles Cheng

Charles Cheng is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Immunology, having authored 19 papers that have together received 607 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers), Metabolism and Genetic Disorders (2 papers), Mesenchymal stem cell research (2 papers), Cell Adhesion Molecules Research (2 papers), bioluminescence and chemiluminescence research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Neurology (162 citations), Developmental Neuroscience (75 citations), Aging (20 citations), Genetics (120 citations) and Cancer Research (76 citations). Charles Cheng has collaborated with scholars based in United States and Canada. Frequent co-authors include James E. Carroll, David C. Hess, Eugene F. Howard, Peter J. Hornsby, Guolong Yu, Cesar V. Borlongan, Jeffrey G. Lind, Ora Dillon‐Carter, Martin Hadman and Chandramohan Wakade. Their work appears in journals such as Brain Research, Endocrinology, Mutation Research/DNAging, Journal of Molecular Endocrinology and Experimental 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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