Hui-Chen Wang

732 total citations
19 papers, 555 citations indexed

About

Hui-Chen Wang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Hui-Chen Wang has authored 19 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Hui-Chen Wang's work include Epigenetics and DNA Methylation (8 papers), Cervical Cancer and HPV Research (7 papers) and Estrogen and related hormone effects (5 papers). Hui-Chen Wang is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cervical Cancer and HPV Research (7 papers) and Estrogen and related hormone effects (5 papers). Hui-Chen Wang collaborates with scholars based in Taiwan, China and United States. Hui-Chen Wang's co-authors include Hung‐Cheng Lai, Rui Huang, Wen‐Sen Lee, Cheng‐Chang Chang, Yu-Ping Liao, Mu‐Hsien Yu, Po‐Hsuan Su, Yu‐Chun Weng, Tzu-I Wu and Yu‐Chih Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Hui-Chen Wang

19 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui-Chen Wang Taiwan 13 360 195 168 82 75 19 555
Shang‐Lang Huang Taiwan 13 195 0.5× 111 0.6× 122 0.7× 55 0.7× 111 1.5× 23 445
Shu-Zhen Dai China 12 235 0.7× 140 0.7× 72 0.4× 33 0.4× 74 1.0× 33 437
D Bonifacio Italy 10 228 0.6× 144 0.7× 160 1.0× 40 0.5× 98 1.3× 12 405
Yanchun Liang China 12 361 1.0× 320 1.6× 33 0.2× 116 1.4× 63 0.8× 28 659
Ling-juan Gao China 12 289 0.8× 121 0.6× 38 0.2× 55 0.7× 78 1.0× 23 457
Yayun Gu China 16 490 1.4× 246 1.3× 75 0.4× 9 0.1× 66 0.9× 46 687
Roubini Zakopoulou Greece 10 358 1.0× 132 0.7× 24 0.1× 39 0.5× 144 1.9× 29 533
Doo Byung Chay South Korea 13 96 0.3× 61 0.3× 37 0.2× 78 1.0× 84 1.1× 27 311
Guohong Xiao China 11 246 0.7× 182 0.9× 27 0.2× 31 0.4× 32 0.4× 16 383
Karl Kam Hei So Hong Kong 13 258 0.7× 118 0.6× 20 0.1× 49 0.6× 22 0.3× 17 451

Countries citing papers authored by Hui-Chen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hui-Chen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui-Chen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui-Chen Wang. A scholar is included among the top collaborators of Hui-Chen Wang 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 Hui-Chen Wang. Hui-Chen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Su, Ih‐Jen, Hong Chang, Hui-Chen Wang, & Kuen‐Jer Tsai. (2020). A Curcumin Analog Exhibits Multiple Biologic Effects on the Pathogenesis of Alzheimer’s Disease and Improves Behavior, Inflammation, and β-Amyloid Accumulation in a Mouse Model. International Journal of Molecular Sciences. 21(15). 5459–5459. 32 indexed citations
2.
Wang, Hui-Chen, et al.. (2019). Folic acid prevents the progesterone-promoted proliferation and migration in breast cancer cell lines. European Journal of Nutrition. 59(6). 2333–2344. 7 indexed citations
3.
Liew, Phui‐Ly, Rui Huang, Tzu-I Wu, et al.. (2019). Combined genetic mutations and DNA-methylated genes as biomarkers for endometrial cancer detection from cervical scrapings. Clinical Epigenetics. 11(1). 170–170. 38 indexed citations
4.
Wang, Hui-Chen & Wen‐Sen Lee. (2018). Molecular mechanisms underlying progesterone-induced cytoplasmic retention of p27 in breast cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 183. 202–209. 9 indexed citations
5.
Chang, Cheng‐Chang, Hui-Chen Wang, Yu-Ping Liao, et al.. (2017). The feasibility of detecting endometrial and ovarian cancer using DNA methylation biomarkers in cervical scrapings. Journal of Gynecologic Oncology. 29(1). e17–e17. 39 indexed citations
6.
Su, Po‐Hsuan, Rui Huang, Yu‐Chun Weng, et al.. (2017). Methylomics of nitroxidative stress on precancerous cells reveals DNA methylation alteration at the transition from in situ to invasive cervical cancer. Oncotarget. 8(39). 65281–65291. 11 indexed citations
7.
Huang, Rui, Po‐Hsuan Su, Yu‐Chih Chen, et al.. (2017). Genotype-specific methylation of HPV in cervical intraepithelial neoplasia. Journal of Gynecologic Oncology. 28(4). e56–e56. 21 indexed citations
8.
Huang, Rui, Po‐Hsuan Su, Yu-Ping Liao, et al.. (2016). Integrated Epigenomics Analysis Reveals a DNA Methylation Panel for Endometrial Cancer Detection Using Cervical Scrapings. Clinical Cancer Research. 23(1). 263–272. 65 indexed citations
9.
Wang, Hui-Chen & Wen‐Sen Lee. (2016). Molecular mechanisms underlying progesterone-enhanced breast cancer cell migration. Scientific Reports. 6(1). 31509–31509. 12 indexed citations
10.
Chiu, Wen‐Tai, Yi‐Hsuan Wu, Hui-Chen Wang, et al.. (2016). Hepatitis B virus PreS2-mutant large surface antigen activates store-operated calcium entry and promotes chromosome instability. Oncotarget. 7(17). 23346–23360. 28 indexed citations
11.
Wang, Hui-Chen, Sung‐Po Hsu, & Wen‐Sen Lee. (2015). Extra-Nuclear Signaling Pathway Involved in Progesterone-Induced Up-Regulations of p21cip1 and p27kip1 in Male Rat Aortic Smooth Muscle Cells. PLoS ONE. 10(5). e0125903–e0125903. 11 indexed citations
12.
Chang, Cheng‐Chang, Rui Huang, Yu-Ping Liao, et al.. (2015). Concordance analysis of methylation biomarkers detection in self-collected and physician-collected samples in cervical neoplasm. BMC Cancer. 15(1). 418–418. 22 indexed citations
13.
14.
Chang, Cheng‐Chang, Rui Huang, Hui-Chen Wang, et al.. (2014). High Methylation Rate of LMX1A, NKX6-1, PAX1, PTPRR, SOX1, and ZNF582 Genes in Cervical Adenocarcinoma. International Journal of Gynecological Cancer. 24(2). 201–209. 49 indexed citations
15.
Wang, Hui-Chen & Wen‐Sen Lee. (2014). Progesterone Induces RhoA Inactivation in Male Rat Aortic Smooth Muscle Cells Through Up-Regulation of p27kip1. Endocrinology. 155(11). 4473–4482. 12 indexed citations
16.
Huang, Rui, Fei Gu, Nameer B. Kirma, et al.. (2013). Comprehensive methylome analysis of ovarian tumors reveals hedgehog signaling pathway regulators as prognostic DNA methylation biomarkers. Epigenetics. 8(6). 624–634. 47 indexed citations
17.
Huang, Yung‐Kai, et al.. (2013). DNA methylation of PAX1 as a biomarker for oral squamous cell carcinoma. Clinical Oral Investigations. 18(3). 801–808. 36 indexed citations
18.
Huang, Rui, Cheng‐Chang Chang, Yu‐Chih Chen, et al.. (2012). Methylomic Analysis Identifies Frequent DNA Methylation of Zinc Finger Protein 582 (ZNF582) in Cervical Neoplasms. PLoS ONE. 7(7). e41060–e41060. 63 indexed citations
19.
Lai, Hung‐Cheng, Ya‐Wen Lin, Cheng‐Chang Chang, et al.. (2006). Hypermethylation of two consecutive tumor suppressor genes, BLU and RASSF1A, located at 3p21.3 in cervical neoplasias. Gynecologic Oncology. 104(3). 629–635. 41 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026