Liang‐Chieh Chen

482 total citations
24 papers, 397 citations indexed

About

Liang‐Chieh Chen is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Liang‐Chieh Chen has authored 24 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Oncology. Recurrent topics in Liang‐Chieh Chen's work include Histone Deacetylase Inhibitors Research (8 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Medicinal Plants and Neuroprotection (4 papers). Liang‐Chieh Chen is often cited by papers focused on Histone Deacetylase Inhibitors Research (8 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Medicinal Plants and Neuroprotection (4 papers). Liang‐Chieh Chen collaborates with scholars based in Taiwan, China and United States. Liang‐Chieh Chen's co-authors include Wei‐Jan Huang, Kai‐Cheng Hsu, Tony Eight Lin, Wen‐Chi Hou, Shiow‐Lin Pan, Lih‐Chu Chiou, Shi-Wei Chao, Wei‐Chun HuangFu, Mei‐Hsiang Lin and Chung‐I Chang and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

Liang‐Chieh Chen

22 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang‐Chieh Chen Taiwan 13 258 77 74 73 55 24 397
Youyi Peng United States 15 298 1.2× 105 1.4× 271 3.7× 77 1.1× 52 0.9× 28 685
Danijela Stanisavljević Ninković Serbia 10 193 0.7× 34 0.4× 44 0.6× 26 0.4× 32 0.6× 17 381
Lailiang Qu China 16 281 1.1× 66 0.9× 119 1.6× 12 0.2× 67 1.2× 26 507
S. Skerratt United Kingdom 13 316 1.2× 41 0.5× 113 1.5× 103 1.4× 31 0.6× 19 561
Jinxin Xu China 13 258 1.0× 42 0.5× 30 0.4× 11 0.2× 51 0.9× 27 399
Jie Shi China 12 203 0.8× 43 0.6× 52 0.7× 14 0.2× 28 0.5× 23 349
Ugo Zanelli Italy 13 231 0.9× 44 0.6× 32 0.4× 55 0.8× 119 2.2× 25 443
Nidhi Saini India 10 179 0.7× 21 0.3× 25 0.3× 66 0.9× 12 0.2× 22 382
Chihiro Ito Japan 15 238 0.9× 105 1.4× 147 2.0× 25 0.3× 71 1.3× 46 661
Clotilde B. Angelucci Italy 12 157 0.6× 132 1.7× 17 0.2× 42 0.6× 11 0.2× 29 399

Countries citing papers authored by Liang‐Chieh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Chieh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang‐Chieh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Chieh Chen. A scholar is included among the top collaborators of Liang‐Chieh Chen 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 Liang‐Chieh Chen. Liang‐Chieh Chen 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
3.
Zhang, Xiaonan, Liang‐Chieh Chen, Benjamin B. Katz, et al.. (2024). Synthesis of site‐specific Fab‐drug conjugates using ADP‐ribosyl cyclases. Protein Science. 33(4). e4924–e4924. 4 indexed citations
4.
Chen, Liang‐Chieh, Caiwei Li, Ching‐Chiung Wang, et al.. (2023). Extracts and Scirpusin B from Recycled Seeds and Rinds of Passion Fruits (Passiflora edulis var. Tainung No. 1) Exhibit Improved Functions in Scopolamine-Induced Impaired-Memory ICR Mice. Antioxidants. 12(12). 2058–2058. 4 indexed citations
5.
Lee, Sung‐Bau, Kai‐Cheng Hsu, Ling‐Wei Hsin, et al.. (2023). Synthesis and biological evaluation of C-4 substituted phenoxazine-bearing hydroxamic acids with potent class II histone deacetylase inhibitory activities. Journal of Enzyme Inhibition and Medicinal Chemistry. 38(1). 2212326–2212326. 4 indexed citations
7.
Wu, Yiwen, Min‐Wu Chao, Huang‐Ju Tu, et al.. (2022). O-methylated flavonol as a multi-kinase inhibitor of leukemogenic kinases exhibits a potential treatment for acute myeloid leukemia. Phytomedicine. 100. 154061–154061. 7 indexed citations
8.
Chen, Liang‐Chieh, Wei‐Chun HuangFu, Yi‐Ying Chen, et al.. (2022). Identification of a dual FLT3 and MNK2 inhibitor for acute myeloid leukemia treatment using a structure-based virtual screening approach. Bioorganic Chemistry. 121. 105675–105675. 14 indexed citations
9.
Chao, Min‐Wu, Huang‐Ju Tu, Liang‐Chieh Chen, et al.. (2021). A novel dual HDAC and HSP90 inhibitor, MPT0G449, downregulates oncogenic pathways in human acute leukemia in vitro and in vivo. Oncogenesis. 10(5). 39–39. 24 indexed citations
10.
Hsu, Kai‐Cheng, et al.. (2021). Synthesis of Yakuchinone B-Inspired Inhibitors against Islet Amyloid Polypeptide Aggregation. Journal of Natural Products. 84(4). 1096–1103. 6 indexed citations
11.
Chen, Liang‐Chieh, Han-Li Huang, Tony Eight Lin, et al.. (2021). Investigation of Selected Flavonoid Derivatives as Potent FLT3 Inhibitors for the Potential Treatment of Acute Myeloid Leukemia. Journal of Natural Products. 84(1). 1–10. 18 indexed citations
12.
Lin, Mei-Hsiang, Young‐Ji Shiao, Ying-Chen Yang, et al.. (2020). Synthesis and biological evaluation of acridine-based histone deacetylase inhibitors as multitarget agents against Alzheimer’s disease. European Journal of Medicinal Chemistry. 192. 112193–112193. 38 indexed citations
13.
14.
Chao, Min‐Wu, Tony Eight Lin, Wei‐Chun HuangFu, et al.. (2020). Identification of a dual TAOK1 and MAP4K5 inhibitor using a structure-based virtual screening approach. Journal of Enzyme Inhibition and Medicinal Chemistry. 36(1). 98–108. 14 indexed citations
15.
Chiou, Lih‐Chu, Hsin‐Jung Lee, Margot Ernst, et al.. (2018). Cerebellar α6‐subunit‐containing GABAAreceptors: a novel therapeutic target for disrupted prepulse inhibition in neuropsychiatric disorders. British Journal of Pharmacology. 175(12). 2414–2427. 28 indexed citations
16.
Chen, Liang‐Chieh, Changyi Liu, Jing‐Ru Weng, et al.. (2018). Design of Diarylheptanoid Derivatives as Dual Inhibitors Against Class IIa Histone Deacetylase and β-amyloid Aggregation. Frontiers in Pharmacology. 9. 708–708. 9 indexed citations
17.
Chen, Liang‐Chieh, et al.. (2017). Total Synthesis and Metabolic Stability of Hispidulin and Its d-Labelled Derivative. Molecules. 22(11). 1897–1897. 12 indexed citations
19.
Chao, Shi-Wei, Liang‐Chieh Chen, Changyi Liu, et al.. (2017). Discovery of aliphatic-chain hydroxamates containing indole derivatives with potent class I histone deacetylase inhibitory activities. European Journal of Medicinal Chemistry. 143. 792–805. 20 indexed citations
20.
Huang, Wei‐Jan, Yi‐Ching Wang, Liang‐Chieh Chen, et al.. (2012). Synthesis and Biological Evaluation of ortho‐Aryl N‐Hydroxycinnamides as Potent Histone Deacetylase (HDAC) 8 Isoform‐Selective Inhibitors. ChemMedChem. 7(10). 1815–1824. 63 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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