Hsei-Wei Wang

2.3k total citations · 1 hit paper
29 papers, 1.9k citations indexed

About

Hsei-Wei Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hsei-Wei Wang has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Hsei-Wei Wang's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Chromatin Remodeling and Cancer (4 papers). Hsei-Wei Wang is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Chromatin Remodeling and Cancer (4 papers). Hsei-Wei Wang collaborates with scholars based in Taiwan, United States and Czechia. Hsei-Wei Wang's co-authors include Oscar K. Lee, Shing-Jyh Chang, Muh‐Hwa Yang, Cheng‐Hwai Tzeng, Shou‐Yen Kao, Kou-Juey Wu, Hsin-Yi Lan, Dennis Shin-Shian Hsu, Chi-Hung Huang and Wenhao Yang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Cell Biology.

In The Last Decade

Hsei-Wei Wang

29 papers receiving 1.8k citations

Hit Papers

Bmi1 is essential in Twist1-induced epithelial–mesenchyma... 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bmi1 is essential in Twist1-induced epithelial–mesenchymal transition
    2010 543 citations Muh‐Hwa Yang, Dennis Shin-Shian Hsu et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsei-Wei Wang Taiwan 22 1.3k 548 531 294 245 29 1.9k
Quan Zeng China 21 1.1k 0.8× 469 0.9× 367 0.7× 317 1.1× 479 2.0× 67 1.9k
Katarzyna Miękus Poland 19 1.8k 1.4× 999 1.8× 609 1.1× 228 0.8× 350 1.4× 37 2.7k
Lui Ng Hong Kong 19 805 0.6× 651 1.2× 676 1.3× 314 1.1× 77 0.3× 45 1.6k
Eliza Wiercinska Germany 22 1.1k 0.9× 316 0.6× 788 1.5× 210 0.7× 129 0.5× 41 2.1k
Bin Shi China 10 1.2k 0.9× 606 1.1× 852 1.6× 112 0.4× 117 0.5× 16 2.1k
Laia Caja Sweden 23 1.1k 0.9× 434 0.8× 744 1.4× 152 0.5× 115 0.5× 39 1.9k
Markus Thomas Germany 19 1.4k 1.1× 409 0.7× 520 1.0× 174 0.6× 71 0.3× 28 2.1k
Monica Iurlaro Italy 19 1.5k 1.2× 473 0.9× 715 1.3× 139 0.5× 206 0.8× 27 2.3k
Yoshihiko Kitajima Japan 29 1.6k 1.3× 836 1.5× 956 1.8× 518 1.8× 137 0.6× 85 2.7k
Fabienne Baffert Switzerland 13 968 0.8× 341 0.6× 434 0.8× 99 0.3× 177 0.7× 19 1.5k

Countries citing papers authored by Hsei-Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsei-Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsei-Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsei-Wei Wang. A scholar is included among the top collaborators of Hsei-Wei 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 Hsei-Wei Wang. Hsei-Wei Wang 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.
Chang, Ting-Yu, Tse-Shun Huang, Chun‐Hsien Wu, et al.. (2017). Dysregulation of endothelial colony-forming cell function by a negative feedback loop of circulating miR-146a and -146b in cardiovascular disease patients. PLoS ONE. 12(7). e0181562–e0181562. 27 indexed citations
2.
Hsieh, Tsung‐Han, et al.. (2016). c-Myc and viral cofactor Kaposin B co-operate to elicit angiogenesis through modulating miRNome traits of endothelial cells. BMC Systems Biology. 10(S1). 1–1. 60 indexed citations
3.
Wang, Hsei-Wei, Ya-Lin Chiu, Tsung‐Han Hsieh, et al.. (2016). MicroRNA-134 Contributes to Glucose-Induced Endothelial Cell Dysfunction and This Effect Can Be Reversed by Far-Infrared Irradiation. PLoS ONE. 11(1). e0147067–e0147067. 29 indexed citations
4.
Wang, Hsei-Wei, Shung-Haur Yang, Jen-Kou Lin, et al.. (2014). Temsirolimus enhances the efficacy of cetuximab in colon cancer through a CIP2A-dependent mechanism. Journal of Cancer Research and Clinical Oncology. 140(4). 561–571. 21 indexed citations
5.
Hsieh, Tsung‐Han, Wan Chen, Shih‐Chieh Lin, et al.. (2014). Downregulation of SUN2, a novel tumor suppressor, mediates miR-221/222-induced malignancy in central nervous system embryonal tumors. Carcinogenesis. 35(10). 2164–2174. 24 indexed citations
6.
Wang, Hsei-Wei, Ya-Lin Chiu, Shing-Jyh Chang, et al.. (2014). Dysregulated miR-361-5p/VEGF Axis in the Plasma and Endothelial Progenitor Cells of Patients with Coronary Artery Disease. PLoS ONE. 9(5). e98070–e98070. 65 indexed citations
7.
Cheng, Cheng-Chung, Shing-Jyh Chang, Tse-Shun Huang, et al.. (2013). Distinct angiogenesis roles and surface markers of early and late endothelial progenitor cells revealed by functional group analyses. BMC Genomics. 14(1). 182–182. 92 indexed citations
8.
Chang, Pei‐Ching, Mel Campbell, Ting-Yu Chang, et al.. (2013). The chromatin modification by SUMO-2/3 but not SUMO-1 prevents the epigenetic activation of key immune-related genes during Kaposi’s sarcoma associated herpesvirus reactivation. BMC Genomics. 14(1). 824–824. 28 indexed citations
9.
Huang, Tse-Shun, et al.. (2013). miR-146a-5p circuitry uncouples cell proliferation and migration, but not differentiation, in human mesenchymal stem cells. Nucleic Acids Research. 41(21). 9753–9763. 60 indexed citations
10.
Hwang, Shiaw-Min, Wei Mai, Hsei-Wei Wang, et al.. (2013). miR-200c and GATA binding protein 4 regulate human embryonic stem cell renewal and differentiation. Stem Cell Research. 12(2). 338–353. 43 indexed citations
11.
Teng, Hao‐Wei, Shung-Haur Yang, Jen-Kou Lin, et al.. (2012). CIP2A Is a Predictor of Poor Prognosis in Colon Cancer. Journal of Gastrointestinal Surgery. 16(5). 1037–1047. 54 indexed citations
12.
Wong, Tai‐Tong, et al.. (2011). Intact INI1 Gene Region With Paradoxical Loss of Protein Expression in AT/RT. The American Journal of Surgical Pathology. 36(1). 128–133. 24 indexed citations
13.
Chen, Yu-Fan, et al.. (2011). Rapid generation of mature hepatocyte-like cells from human induced pluripotent stem cells by an efficient three-step protocol. Hepatology. 55(4). 1193–1203. 212 indexed citations
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16.
Yang, Muh‐Hwa, Dennis Shin-Shian Hsu, Hsei-Wei Wang, et al.. (2010). Bmi1 is essential in Twist1-induced epithelial–mesenchymal transition. Nature Cell Biology. 12(10). 982–992. 543 indexed citations breakdown →
17.
Pan, Mei‐Ren, et al.. (2009). Sumoylation of Prox1 controls its ability to induce VEGFR3 expression and lymphatic phenotypes in endothelial cells. Journal of Cell Science. 122(18). 3358–3364. 50 indexed citations
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You, Ren-In, et al.. (2006). Inhibition of Lymphotoxin-β Receptor–Mediated Cell Death by Survivin-ΔEx3. Cancer Research. 66(6). 3051–3061. 19 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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