Swei Sunny Hann

2.3k total citations
48 papers, 1.9k citations indexed

About

Swei Sunny Hann is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Swei Sunny Hann has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 27 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Swei Sunny Hann's work include Cancer-related molecular mechanisms research (18 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (8 papers). Swei Sunny Hann is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), MicroRNA in disease regulation (8 papers) and Circular RNAs in diseases (8 papers). Swei Sunny Hann collaborates with scholars based in China and Hong Kong. Swei Sunny Hann's co-authors include Qing Tang, Jingjing Wu, Fang Zheng, Fang Zheng, Shunyu Zhao, Wanyin Wu, Lijun Yang, Liuning Li, Yaya Yu and Wei Wang and has published in prestigious journals such as Scientific Reports, Journal of Ethnopharmacology and Molecular Cancer.

In The Last Decade

Swei Sunny Hann

48 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swei Sunny Hann China 27 1.5k 993 195 166 162 48 1.9k
Kun Zhou China 20 1.3k 0.9× 653 0.7× 232 1.2× 74 0.4× 131 0.8× 64 1.7k
Wei-Jiunn Lee Taiwan 24 999 0.7× 413 0.4× 311 1.6× 100 0.6× 173 1.1× 42 1.6k
Wei Peng China 29 1.2k 0.8× 977 1.0× 100 0.5× 127 0.8× 58 0.4× 51 1.6k
Wanyin Wu China 21 868 0.6× 496 0.5× 405 2.1× 176 1.1× 162 1.0× 49 1.6k
Cyril Sobolewski Switzerland 20 1.2k 0.8× 873 0.9× 133 0.7× 71 0.4× 233 1.4× 34 2.0k
Mano Horinaka Japan 25 1.5k 1.1× 386 0.4× 424 2.2× 146 0.9× 199 1.2× 66 2.1k
Parham Jabbarzadeh Kaboli China 24 857 0.6× 431 0.4× 415 2.1× 99 0.6× 164 1.0× 43 1.5k
Eswar Shankar United States 24 799 0.5× 292 0.3× 190 1.0× 102 0.6× 154 1.0× 50 1.4k
Suthakar Ganapathy United States 19 1.1k 0.8× 407 0.4× 370 1.9× 103 0.6× 55 0.3× 60 1.7k

Countries citing papers authored by Swei Sunny Hann

Since Specialization
Citations

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

Fields of papers citing papers by Swei Sunny Hann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swei Sunny Hann. 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 Swei Sunny Hann. The network helps show where Swei Sunny Hann may publish in the future.

Co-authorship network of co-authors of Swei Sunny Hann

This figure shows the co-authorship network connecting the top 25 collaborators of Swei Sunny Hann. A scholar is included among the top collaborators of Swei Sunny Hann 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 Swei Sunny Hann. Swei Sunny Hann 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.
Wang, Wei, et al.. (2019). Interactions among lncRNAs, miRNAs and mRNA in colorectal cancer. Biochimie. 163. 58–72. 81 indexed citations
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Liu, Zheng, et al.. (2019). The functions and oncogenic roles of CCAT1 in human cancer. Biomedicine & Pharmacotherapy. 115. 108943–108943. 55 indexed citations
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Yu, Yaya & Swei Sunny Hann. (2019). <p>Novel Tumor Suppressor lncRNA Growth Arrest-Specific 5 (GAS5) In Human Cancer</p>. OncoTargets and Therapy. Volume 12. 8421–8436. 48 indexed citations
6.
Xiao, Qian, Fang Zheng, Qing Tang, et al.. (2018). Repression of PDK1- and LncRNA HOTAIR-Mediated EZH2 Gene Expression Contributes to the Enhancement of Atractylenolide 1 and Erlotinib in the Inhibition of Human Lung Cancer Cells. Cellular Physiology and Biochemistry. 49(4). 1615–1632. 22 indexed citations
7.
Zheng, Fang, Qing Tang, Xiaohua Zheng, et al.. (2018). Inactivation of Stat3 and crosstalk of miRNA155-5p and FOXO3a contribute to the induction of IGFBP1 expression by beta-elemene in human lung cancer. Experimental & Molecular Medicine. 50(9). 1–14. 38 indexed citations
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Xiao, Qian, Fang Zheng, Jingjing Wu, et al.. (2017). Activation of ERK and Mutual Regulation of Stat3 and SP1 Contribute to Inhibition of PDK1 Expression by Atractylenolide-1 in Human Lung Cancer Cells. Cellular Physiology and Biochemistry. 43(6). 2353–2366. 24 indexed citations
11.
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Li, Longmei, Sumei Wang, Fang Zheng, Wanyin Wu, & Swei Sunny Hann. (2016). Chinese herbal medicine Fuzheng Kang-Ai decoction sensitized the effect of gefitinib on inhibition of human lung cancer cells through inactivating PI3-K/Akt -mediated suppressing MUC1 expression. Journal of Ethnopharmacology. 194. 918–929. 16 indexed citations
13.
Wang, Zhiyu, Pengxi Liu, Qianjun Chen, et al.. (2016). Targeting AMPK Signaling Pathway to Overcome Drug Resistance for Cancer Therapy. Current Drug Targets. 17(8). 853–864. 45 indexed citations
14.
Wu, Jingjing, Shunyu Zhao, Qing Tang, et al.. (2015). Activation of SAPK/JNK mediated the inhibition and reciprocal interaction of DNA methyltransferase 1 and EZH2 by ursolic acid in human lung cancer cells. Journal of Experimental & Clinical Cancer Research. 34(1). 99–99. 31 indexed citations
15.
Tang, Qing, Shunyu Zhao, Jingjing Wu, et al.. (2015). Inhibition of integrin-linked kinase expression by emodin through crosstalk of AMPKα and ERK1/2 signaling and reciprocal interplay of Sp1 and c-Jun. Cellular Signalling. 27(7). 1469–1477. 38 indexed citations
16.
Tang, Qing, et al.. (2015). Inactivation of PI3-K/Akt and reduction of SP1 and p65 expression increase the effect of solamargine on suppressing EP4 expression in human lung cancer cells. Journal of Experimental & Clinical Cancer Research. 34(1). 154–154. 35 indexed citations
17.
Xiang, Songtao, Jingjing Wu, Qing Tang, et al.. (2015). Combination of curcumin and bicalutamide enhanced the growth inhibition of androgen-independent prostate cancer cells through SAPK/JNK and MEK/ERK1/2-mediated targeting NF-κB/p65 and MUC1-C. Journal of Experimental & Clinical Cancer Research. 34(1). 46–46. 53 indexed citations
18.
Zheng, Fang, Qin Tang, Jingjing Wu, et al.. (2014). p38α MAPK-mediated induction and interaction of FOXO3a and p53 contribute to the inhibited-growth and induced-apoptosis of human lung adenocarcinoma cells by berberine. Journal of Experimental & Clinical Cancer Research. 33(1). 36–36. 80 indexed citations
19.
Hann, Swei Sunny, Fang Zheng, & Shunyu Zhao. (2013). Targeting 3-phosphoinositide-dependent protein kinase 1 by N-acetyl-cysteine through activation of peroxisome proliferators activated receptor alpha in human lung cancer cells, the role of p53 and p65. Journal of Experimental & Clinical Cancer Research. 32(1). 43–43. 25 indexed citations
20.
Hann, Swei Sunny, Jianping Chen, Zhiyu Wang, et al.. (2013). Targeting EP4 by curcumin through cross talks of AMP-dependent kinase alpha and p38 mitogen-activated protein kinase signaling: The role of PGC-1α and Sp1. Cellular Signalling. 25(12). 2566–2574. 26 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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