Chun-Chi Liang

5.8k citations
17 papers · 4.6k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Chun-Chi Liang

17 papers receiving 4.5k citations

Hit Papers

In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro 2007 · 3.7k citations
3.7k200720262013201910002.0k3.0k

Peers

Chun-Chi Liang
Comparison fields: 5 of 148
  • Rehabilitation 514
  • Cell Biology 630
  • Cancer Research 554
  • Immunology and Allergy 204
  • Molecular Biology 2.0k
Replace Masamitsu Tanaka with:
Masamitsu Tanaka Japan
Ann Y. Park United States
Wei‐Chien Huang Taiwan
Tamar Tennenbaum Israel
Alexander V. Ljubimov United States
Alex Markham United Kingdom
Yong Li United States
Xiang Xu China
Wei Cui China
Xiao‐Jing Wang United States
Chun-Chi Liang relative to Masamitsu Tanaka Japan Masamitsu Tanaka's profile →
Citations per field
00.5×1.5×2.5×
Masamitsu Tanaka · 1×
Citations per year

Countries citing papers authored by Chun-Chi Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Chi Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Chi Liang. 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 Chun-Chi Liang. The network helps show where Chun-Chi Liang may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202014
2 201943
3 201739
4 201737
5 20174
6 201613
7 201641
8 201671
9 201533
10 2014107
11 2013137
12 200952
13 2009186
14 200755
15
In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro
Hit paper breakdown →
20073651
16 200224
17 200153

About Chun-Chi Liang

Chun-Chi Liang is a scholar working on Immunology and Allergy, Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 17 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Genetic Neurodegenerative Diseases (5 papers), Autophagy in Disease and Therapy (3 papers), Cell Adhesion Molecules Research (3 papers), Hereditary Neurological Disorders (3 papers), Cellular Mechanics and Interactions (3 papers), Nuclear Structure and Function (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Rehabilitation (514 citations), Cell Biology (630 citations), Cancer Research (554 citations), Immunology and Allergy (204 citations) and Molecular Biology (2.0k citations). Chun-Chi Liang has collaborated with scholars based in United States, Taiwan and Poland. Frequent co-authors include Jun‐Lin Guan, Ann Y. Park, Chenran Wang, William T. Dauer, Boyi Gan, Peng Xu, Lauren M. Tanabe, Z. Christine Bian, Yuan Zhu and Stephanie Jou. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Genes & Development, Behavioural Brain Research and Cell Reports.

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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