Chen-Chung Liao

1.0k total citations
37 papers, 805 citations indexed

About

Chen-Chung Liao is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Chen-Chung Liao has authored 37 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Oncology. Recurrent topics in Chen-Chung Liao's work include Liver Disease Diagnosis and Treatment (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Adipose Tissue and Metabolism (4 papers). Chen-Chung Liao is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Adipose Tissue and Metabolism (4 papers). Chen-Chung Liao collaborates with scholars based in Taiwan, China and Japan. Chen-Chung Liao's co-authors include Kin‐Fu Chak, Hanna S. Yuan, Tzu‐Ping Ko, Chi‐Chang Huang, Wen-Ching Huang, Nai‐Wen Kan, Yu‐Kai Chang, Yi-Hsuan Pan, Ching‐Yu Lin and Fujitoshi Yanagida and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chen-Chung Liao

37 papers receiving 792 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chen-Chung Liao Taiwan 18 441 145 129 74 71 37 805
Yiyan Chen China 16 282 0.6× 132 0.9× 69 0.5× 92 1.2× 41 0.6× 32 1.1k
Tapas Das United States 18 475 1.1× 121 0.8× 154 1.2× 50 0.7× 23 0.3× 46 1.3k
Laetitia Daury France 16 600 1.4× 165 1.1× 124 1.0× 34 0.5× 28 0.4× 23 845
Hyuck Kim South Korea 17 385 0.9× 56 0.4× 38 0.3× 38 0.5× 22 0.3× 55 827
Zhuang Lu China 23 628 1.4× 166 1.1× 42 0.3× 66 0.9× 11 0.2× 42 1.7k
Vladimir V. Gorn Russia 10 756 1.7× 65 0.4× 103 0.8× 76 1.0× 18 0.3× 28 1.2k
Yueh‐Hsin Ping Taiwan 22 820 1.9× 62 0.4× 70 0.5× 31 0.4× 33 0.5× 41 1.4k
Kathrin M. Engel Germany 19 574 1.3× 118 0.8× 45 0.3× 21 0.3× 21 0.3× 44 1.2k
Lili Tian China 23 818 1.9× 182 1.3× 171 1.3× 19 0.3× 19 0.3× 68 1.5k
Makoto Saito Japan 18 917 2.1× 77 0.5× 142 1.1× 44 0.6× 10 0.1× 44 1.5k

Countries citing papers authored by Chen-Chung Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Chung Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Chung Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Chung Liao. A scholar is included among the top collaborators of Chen-Chung Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chen-Chung Liao. Chen-Chung Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liao, Chen-Chung, Yijie Han, Ming Lei, et al.. (2020). Co-activation of Akt, Nrf2, and NF-κB signals under UPRER in torpid Myotis ricketti bats for survival. Communications Biology. 3(1). 658–658. 15 indexed citations
2.
Liao, Chen-Chung, Yu-Sheng Chang, Ching-Wen Huang, et al.. (2019). Low Levels of IgM and IgA Recognizing Acetylated C1-Inhibitor Peptides Are Associated with Systemic Lupus Erythematosus in Taiwanese Women. Molecules. 24(9). 1645–1645. 3 indexed citations
3.
Yang, Ming‐Hui, et al.. (2019). Utilizing proteomic approach to identify nuclear translocation related serine kinase phosphorylation site of GNMT as downstream effector for benzo[a]pyrene. Journal of Food and Drug Analysis. 27(2). 603–609. 6 indexed citations
6.
Yin, Qiuyuan, Yijian Zhang, Dong Dong, et al.. (2017). Maintenance of neural activities in torpid Rhinolophus ferrumequinum bats revealed by 2D gel-based proteome analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(8). 1004–1019. 3 indexed citations
8.
Liao, Chen-Chung, et al.. (2016). Proteomic changes associated with metabolic syndrome in a fructose-fed rat model. Journal of Food and Drug Analysis. 24(4). 754–761. 22 indexed citations
10.
Yanagida, Fujitoshi, et al.. (2014). Purification and characterization of plantaricin Y, a novel bacteriocin produced by Lactobacillus plantarum 510. Archives of Microbiology. 196(3). 193–199. 40 indexed citations
11.
Muthukumar, Subramanian, Rajkumar Ramalingam, Chen-Chung Liao, et al.. (2014). Buffalo Cervico-Vaginal Fluid Proteomics with Special Reference to Estrous Cycle: Heat Shock Protein (Hsp)-70 Appears to Be an Estrus Indicator1. Biology of Reproduction. 90(5). 97–97. 20 indexed citations
12.
Karan, Ram, Priya DasSarma, Elizabeth K. Balcer‐Kubiczek, et al.. (2013). Bioengineering radioresistance by overproduction of RPA, a mammalian-type single-stranded DNA-binding protein, in a halophilic archaeon. Applied Microbiology and Biotechnology. 98(4). 1737–1747. 18 indexed citations
13.
Pan, Yi-Hsuan, Yijian Zhang, Jie Cui, et al.. (2013). Adaptation of Phenylalanine and Tyrosine Catabolic Pathway to Hibernation in Bats. PLoS ONE. 8(4). e62039–e62039. 26 indexed citations
14.
Uen, Yih‐Huei, Kai‐Yuan Lin, Ding‐Ping Sun, et al.. (2013). Comparative proteomics, network analysis and post-translational modification identification reveal differential profiles of plasma Con A-bound glycoprotein biomarkers in gastric cancer. Journal of Proteomics. 83. 197–213. 61 indexed citations
15.
Lin, Yao-Ping, Chih‐Yu Yang, Chen-Chung Liao, et al.. (2012). Plasma Protein Characteristics of Long-Term Hemodialysis Survivors. PLoS ONE. 7(7). e40232–e40232. 19 indexed citations
16.
Huang, Yi‐Long, Chen-Chung Liao, Yeou‐Guang Tsay, et al.. (2012). Qualitative analysis of the fluorophosphonate-based chemical probes using the serine hydrolases from mouse liver and poly-3-hydroxybutyrate depolymerase (PhaZ) from Bacillus thuringiensis. Analytical and Bioanalytical Chemistry. 404(8). 2387–2396. 3 indexed citations
17.
Pan, Yi-Hsuan, et al.. (2010). Structural and functional studies of leptins from hibernating and non-hibernating bats. General and Comparative Endocrinology. 168(1). 29–35. 8 indexed citations
18.
Liao, Chen-Chung, et al.. (2007). A Sequence-Specific RNase Activity Derived from the Interface of the Dimeric Immunity Protein of the ColE7 Operon. Protein and Peptide Letters. 14(2). 147–150. 1 indexed citations
19.
Lin, Yu‐Hui, Chen-Chung Liao, Po‐Huang Liang, Hanna S. Yuan, & Kin‐Fu Chak. (2004). Involvement of colicin in the limited protection of the colicin producing cells against bacteriophage. Biochemical and Biophysical Research Communications. 318(1). 81–87. 10 indexed citations
20.
Ko, Tzu‐Ping, et al.. (1999). The crystal structure of the DNase domain of colicin E7 in complex with its inhibitor Im7 protein. Structure. 7(1). 91–102. 163 indexed citations

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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