Jer-Wei Chang

1.8k total citations
22 papers, 1.0k citations indexed

About

Jer-Wei Chang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jer-Wei Chang has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Jer-Wei Chang's work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers) and Cancer-related Molecular Pathways (4 papers). Jer-Wei Chang is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers) and Cancer-related Molecular Pathways (4 papers). Jer-Wei Chang collaborates with scholars based in Taiwan and United States. Jer-Wei Chang's co-authors include Yi‐Ching Wang, Chih‐Yi Chen, Ruo-Kai Lin, Han‐Shui Hsu, Jung-Ta Chen, Ruo-Chia Tseng, Lu‐Hai Wang, Chuen-Ming Shih, Pan‐Chyr Yang and Yen-An Tang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cancer Research.

In The Last Decade

Jer-Wei Chang

22 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jer-Wei Chang Taiwan 13 788 350 199 115 106 22 1.0k
Xiaobo Cui China 18 574 0.7× 319 0.9× 210 1.1× 46 0.4× 66 0.6× 49 864
Sanyuan Sun China 18 647 0.8× 376 1.1× 242 1.2× 71 0.6× 118 1.1× 34 960
Xiangning Meng China 17 403 0.5× 193 0.6× 184 0.9× 85 0.7× 55 0.5× 34 638
Tae‐Su Han South Korea 14 520 0.7× 383 1.1× 110 0.6× 59 0.5× 88 0.8× 24 718
Chengfei Jiang China 21 880 1.1× 707 2.0× 168 0.8× 55 0.5× 97 0.9× 46 1.2k
Hongchao Zhao China 17 546 0.7× 391 1.1× 165 0.8× 52 0.5× 71 0.7× 38 794
Timothy VandenBoom United States 10 859 1.1× 725 2.1× 426 2.1× 61 0.5× 82 0.8× 14 1.2k
Qingchao Tang China 17 524 0.7× 410 1.2× 277 1.4× 66 0.6× 117 1.1× 47 871
Manabu Seino Japan 14 471 0.6× 237 0.7× 251 1.3× 68 0.6× 120 1.1× 31 748

Countries citing papers authored by Jer-Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jer-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jer-Wei Chang. 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 Jer-Wei Chang. The network helps show where Jer-Wei Chang may publish in the future.

Co-authorship network of co-authors of Jer-Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jer-Wei Chang. A scholar is included among the top collaborators of Jer-Wei Chang 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 Jer-Wei Chang. Jer-Wei Chang 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.
Wu, Wei-Sheng, et al.. (2018). HRPDviewer: human ribosome profiling data viewer. Database. 2018. 10 indexed citations
3.
Shen, You‐Cheng, Haw‐Wen Chen, Kai‐Li Liu, et al.. (2017). Docosahexaenoic acid increases the expression of oxidative stress-induced growth inhibitor 1 through the PI3K/Akt/Nrf2 signaling pathway in breast cancer cells. Food and Chemical Toxicology. 108(Pt A). 276–288. 53 indexed citations
4.
5.
Liu, Chen‐Chi, Jiun-Han Lin, Jer-Wei Chang, et al.. (2016). Collagen XVII/laminin-5 activates epithelial-to-mesenchymal transition and is associated with poor prognosis in lung cancer. Oncotarget. 9(2). 1656–1672. 41 indexed citations
6.
Li, Chien‐Chun, Hsien‐Tsung Yao, Fang‐Ju Cheng, et al.. (2015). Docosahexaenoic Acid Downregulates EGF-Induced Urokinase Plasminogen Activator and Matrix Metalloproteinase 9 Expression by Inactivating EGFR/ErbB2 Signaling in SK-BR3 Breast Cancer Cells. Nutrition and Cancer. 67(5). 771–782. 10 indexed citations
7.
Lin, Kai‐Ti, Chi‐Mu Chuang, Scarlett Y. Yang, et al.. (2015). Glucocorticoids mediate induction of microRNA-708 to suppress ovarian cancer metastasis through targeting Rap1B. Nature Communications. 6(1). 5917–5917. 90 indexed citations
8.
Tseng, Ruo-Chia, Jer-Wei Chang, Pei-Chen Wu, et al.. (2015). Growth-arrest-specific 7C protein inhibits tumor metastasis via the N-WASP/FAK/F-actin and hnRNP U/β-TrCP/β-catenin pathways in lung cancer. Oncotarget. 6(42). 44207–44221. 15 indexed citations
9.
Jiang, Shih Sheng, Shiu‐Feng Huang, Yng‐Tay Chen, et al.. (2014). Dysregulation of the TGFBI gene is involved in the oncogenic activity of the nonsense mutation of hepatitis B virus surface gene sW182*. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(7). 1080–1087. 5 indexed citations
10.
Chang, Jer-Wei, et al.. (2014). The origins in the transformation of ambipolar to n-type pentacene-based organic field-effect transistors. Organic Electronics. 15(8). 1759–1766. 3 indexed citations
11.
Huang, Wei-Chieh, Shih‐Hsuan Chan, Te‐Hsuan Jang, et al.. (2013). miRNA-491-5p and GIT1 Serve as Modulators and Biomarkers for Oral Squamous Cell Carcinoma Invasion and Metastasis. Cancer Research. 74(3). 751–764. 145 indexed citations
12.
Chang, Jer-Wei, I‐Shou Chang, Han‐Shui Hsu, et al.. (2012). The database of chromosome imbalance regions and genes resided in lung cancer from Asian and Caucasian identified by array-comparative genomic hybridization. BMC Cancer. 12(1). 235–235. 43 indexed citations
13.
Lin, Ruo-Kai, Jer-Wei Chang, Li‐Jung Juan, et al.. (2010). Dysregulation of p53/Sp1 Control Leads to DNA Methyltransferase-1 Overexpression in Lung Cancer. Cancer Research. 70(14). 5807–5817. 161 indexed citations
14.
Chang, Jer-Wei, Tim Hui-Ming Huang, & Yi‐Ching Wang. (2008). Emerging Methods For Analysis of The Cancer Methylome. Pharmacogenomics. 9(12). 1869–1878. 8 indexed citations
15.
Kao, Po-Ching, et al.. (2007). Low temperature solution-synthesis and photoluminescence properties of ZnO nanowires. Journal of Alloys and Compounds. 467(1-2). 342–346. 17 indexed citations
16.
Lin, Ruo-Kai, Han‐Shui Hsu, Jer-Wei Chang, et al.. (2006). Alteration of DNA methyltransferases contributes to 5′CpG methylation and poor prognosis in lung cancer. Lung Cancer. 55(2). 205–213. 197 indexed citations
17.
Hsu, Han‐Shui, Ruo-Chia Tseng, Jer-Wei Chang, et al.. (2004). CpG Island Methylation Is Responsible for p14ARF Inactivation and Inversely Correlates with p53 Overexpression in Resected Non–Small Cell Lung Cancer. Clinical Cancer Research. 10(14). 4734–4741. 33 indexed citations
18.
Wang, Yi‐Ching, et al.. (2003). Inactivation of hMLH1 and hMSH2 by promoter methylation in primary non-small cell lung tumors and matched sputum samples. Journal of Clinical Investigation. 111(6). 887–895. 31 indexed citations
19.
Wang, Yi‐Ching, Ruo-Chia Tseng, Ruo-Kai Lin, et al.. (2003). Inactivation of hMLH1 and hMSH2 by promoter methylation in primary non-small cell lung tumors and matched sputum samples. Journal of Clinical Investigation. 111(6). 887–895. 122 indexed citations
20.
Ho, William L., Jer-Wei Chang, Ruo-Chia Tseng, et al.. (2002). Loss of heterozygosity at loci of candidate tumor suppressor genes in microdissected primary non-small cell lung cancer. Cancer Detection and Prevention. 26(5). 343–349. 12 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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