Wei‐Jan Huang

2.8k total citations
108 papers, 2.3k citations indexed

About

Wei‐Jan Huang is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Wei‐Jan Huang has authored 108 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Organic Chemistry. Recurrent topics in Wei‐Jan Huang's work include Histone Deacetylase Inhibitors Research (34 papers), Protein Degradation and Inhibitors (14 papers) and Ubiquitin and proteasome pathways (9 papers). Wei‐Jan Huang is often cited by papers focused on Histone Deacetylase Inhibitors Research (34 papers), Protein Degradation and Inhibitors (14 papers) and Ubiquitin and proteasome pathways (9 papers). Wei‐Jan Huang collaborates with scholars based in Taiwan, United States and China. Wei‐Jan Huang's co-authors include Su‐Jane Wang, Shoei‐Sheng Lee, Lih‐Chu Chiou, Bi Yu, Peter Wen-Shyg Chiou, Yi‐Ching Wang, Liang‐Chieh Chen, Chia-Nan Chen, Shi-Wei Chao and Kai‐Cheng Hsu and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Wei‐Jan Huang

103 papers receiving 2.3k citations

Peers

Wei‐Jan Huang
Jin‐Tae Hong South Korea
Rocı́o Sancho Spain
Simona Saponara Italy
Alina Nemirovski Israel
Khushwant S. Bhullar Canada
Hua Sun China
Jungsook Cho South Korea
Gyu‐Yong Song South Korea
Byoungduck Park South Korea
Ke‐Wu Zeng China
Jin‐Tae Hong South Korea
Wei‐Jan Huang
Citations per year, relative to Wei‐Jan Huang Wei‐Jan Huang (= 1×) peers Jin‐Tae Hong

Countries citing papers authored by Wei‐Jan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Jan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Jan Huang. 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 Wei‐Jan Huang. The network helps show where Wei‐Jan Huang may publish in the future.

Co-authorship network of co-authors of Wei‐Jan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Jan Huang. A scholar is included among the top collaborators of Wei‐Jan Huang 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 Wei‐Jan Huang. Wei‐Jan Huang 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.
2.
Tsai, Keng‐Chang, Tingyu Wang, Tzu‐Yin Chen, et al.. (2024). Discovery and biological evaluation of potent 2-trifluoromethyl acrylamide warhead-containing inhibitors of protein disulfide isomerase. European Journal of Medicinal Chemistry. 283. 117169–117169.
3.
Chen, Chin‐Chu, Wei‐Jan Huang, Li‐Ya Lee, et al.. (2024). Exploring the Synergistic Effects of Erinacines on Microglial Regulation and Alzheimer's Pathology Under Metabolic Stress. CNS Neuroscience & Therapeutics. 30(12). e70137–e70137. 3 indexed citations
4.
Lin, Tony Eight, Wei‐Chun HuangFu, Jui‐Hua Hsieh, et al.. (2024). An ensemble machine learning model generates a focused screening library for the identification of CDK8 inhibitors. Protein Science. 33(6). e5007–e5007. 4 indexed citations
5.
Huang, Wei‐Jan, et al.. (2023). New Synthesized Activating Transcription Factor 3 Inducer SW20.1 Suppresses Resistin-Induced Metabolic Syndrome. Biomedicines. 11(6). 1509–1509. 1 indexed citations
6.
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.
Sung, Ting‐Yi, Shiow‐Lin Pan, Wei‐Jan Huang, et al.. (2023). The study of a novel CDK8 inhibitor E966-0530–45418 that inhibits prostate cancer metastasis in vitro and in vivo. Biomedicine & Pharmacotherapy. 162. 114667–114667. 14 indexed citations
8.
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
9.
Mouri, Akihiro, Hsin‐Jung Lee, Takayoshi Mamiya, et al.. (2020). Hispidulin attenuates the social withdrawal in isolated disrupted‐in‐schizophrenia‐1 mutant and chronic phencyclidine‐treated mice. British Journal of Pharmacology. 177(14). 3210–3224. 15 indexed citations
10.
Chiu, Hui‐Wen, Ya-Ling Yeh, Sheng‐Yow Ho, et al.. (2019). A New Histone Deacetylase Inhibitor Enhances Radiation Sensitivity through the Induction of Misfolded Protein Aggregation and Autophagy in Triple-Negative Breast Cancer. Cancers. 11(11). 1703–1703. 18 indexed citations
11.
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
12.
Jan, Jing‐Shiun, et al.. (2017). The Novel HDAC8 Inhibitor WK2-16 Attenuates Lipopolysaccharide-Activated Matrix Metalloproteinase-9 Expression in Human Monocytic Cells and Improves Hypercytokinemia In Vivo. International Journal of Molecular Sciences. 18(7). 1394–1394. 16 indexed citations
13.
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
14.
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
15.
Cheng, Siao Muk, Shang‐Hung Chen, Chien‐Feng Li, et al.. (2016). Inhibition of HDAC3- and HDAC6-Promoted Survivin Expression Plays an Important Role in SAHA-Induced Autophagy and Viability Reduction in Breast Cancer Cells. Frontiers in Pharmacology. 7. 81–81. 53 indexed citations
16.
Shih, Jin‐Yuan, et al.. (2015). DUSP1 Expression Induced by HDAC1 Inhibition Mediates Gefitinib Sensitivity in Non–Small Cell Lung Cancers. Clinical Cancer Research. 21(2). 428–438. 35 indexed citations
17.
18.
Han, Chuan-Hsiao, Yuh‐Feng Lin, Yin-Shiou Lin, et al.. (2014). Effects of yam tuber protein, dioscorin, on attenuating oxidative status and learning dysfunction in d-galactose-induced BALB/c mice. Food and Chemical Toxicology. 65. 356–363. 32 indexed citations
19.
Suk, Fat‐Moon, Gi‐Shih Lien, Wei‐Jan Huang, et al.. (2013). A Taiwanese Propolis Derivative Induces Apoptosis through Inducing Endoplasmic Reticular Stress and Activating Transcription Factor-3 in Human Hepatoma Cells. Evidence-based Complementary and Alternative Medicine. 2013. 1–11. 6 indexed citations
20.
Chiu, Hui‐Wen, Ya-Ling Yeh, Yi‐Ching Wang, et al.. (2013). Suberoylanilide Hydroxamic Acid, an Inhibitor of Histone Deacetylase, Enhances Radiosensitivity and Suppresses Lung Metastasis in Breast Cancer In Vitro and In Vivo. PLoS ONE. 8(10). e76340–e76340. 75 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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