C-G Liu

813 citations
7 papers · 659 · h-index 4

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • RNA Research and Splicing

Papers in

C-G Liu

7 papers receiving 646 citations

Peers

C-G Liu
Comparison fields: 5 of 68
  • Cancer Research 413
  • Molecular Biology 418
  • Endocrinology, Diabetes and Metabolism 63
  • Hematology 41
  • Immunology 35
Replace Maddalena Di Sanzo with:
Maddalena Di Sanzo Italy
Baolan Sun China
Suhua Xia China
Rong Lian China
Marzia Leotta Italy
Chandrika Jeyamohan United States
M. Biasiolo Italy
Min Soo Kim South Korea
Nobuyuki Takaoka Japan
C-G Liu relative to Maddalena Di Sanzo Italy Maddalena Di Sanzo's profile →
Citations per field
00.5×
Maddalena Di Sanzo · 1×
Citations per year

Countries citing papers authored by C-G Liu

Since Specialization
Citations

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

Fields of papers citing papers by C-G Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2007313
2 2007301
3 199829
4 20209
5
Debris-free Cutting of Quartz with Zero Kerf Width and Ultra-low Surface Roughness Using Femtosecond Bessel Laser Beam Filamentation
20203
6 20173
7
[Studies of the genetic characters of four isonucleus-alloplasmic lines of common wheat] [In Process Citation]
19991

About C-G Liu

C-G Liu is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Cellular and Molecular Neuroscience and Mechanics of Materials, having authored 7 papers that have together received 659 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers), Gas Sensing Nanomaterials and Sensors (1 paper), Advanced Fiber Laser Technologies (1 paper), Graphene research and applications (1 paper), Laser Material Processing Techniques (1 paper), Synthesis and Biological Evaluation (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Cancer Research (413 citations), Molecular Biology (418 citations), Endocrinology, Diabetes and Metabolism (63 citations), Hematology (41 citations) and Immunology (35 citations). C-G Liu has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Stefano Volinia, George A. Calin, Carlo M. Croce, Marcella Visentini, Hansjüerg Alder, Rami I. Aqeilan, Flavia Pichiorri, Amelia Cimmino, Huating Wang and Hao Sun. Their work appears in journals such as Oncogene, Nanotechnology, Pharmacological Research, PubMed and Research Explorer (The University of Manchester).

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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