Shao‐An Wang

1.2k total citations
48 papers, 964 citations indexed

About

Shao‐An Wang is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Shao‐An Wang has authored 48 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Organic Chemistry. Recurrent topics in Shao‐An Wang's work include Microbial Natural Products and Biosynthesis (7 papers), Biochemical and Molecular Research (7 papers) and Ubiquitin and proteasome pathways (6 papers). Shao‐An Wang is often cited by papers focused on Microbial Natural Products and Biosynthesis (7 papers), Biochemical and Molecular Research (7 papers) and Ubiquitin and proteasome pathways (6 papers). Shao‐An Wang collaborates with scholars based in Taiwan, United States and China. Shao‐An Wang's co-authors include Hung‐wen Liu, Jan‐Jong Hung, Mark W. Ruszczycky, Byungsun Jeon, Tsung‐I Hsu, Zhao‐Dong Xu, Ming-Jer Young, Chia-Yang Hung, Yi-Chang Wang and Yeonjin Ko and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Shao‐An Wang

45 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐An Wang Taiwan 20 546 187 139 125 79 48 964
Tae Gyu Lee South Korea 18 740 1.4× 132 0.7× 113 0.8× 91 0.7× 138 1.7× 37 1.2k
Long Liang China 19 431 0.8× 148 0.8× 79 0.6× 156 1.2× 92 1.2× 60 871
Akira Okura Japan 20 724 1.3× 247 1.3× 212 1.5× 225 1.8× 35 0.4× 59 1.5k
Qinglin Jiang China 18 320 0.6× 96 0.5× 30 0.2× 65 0.5× 70 0.9× 48 782
Tung Thanh Pham South Korea 23 360 0.7× 25 0.1× 44 0.3× 135 1.1× 212 2.7× 46 1.2k
Yanmei Liu China 17 451 0.8× 40 0.2× 19 0.1× 120 1.0× 91 1.2× 71 976
Mingyi Li China 22 829 1.5× 34 0.2× 54 0.4× 121 1.0× 62 0.8× 42 1.4k
Shengli Wang China 20 586 1.1× 20 0.1× 124 0.9× 122 1.0× 76 1.0× 78 1.0k
Zilin Yu China 19 213 0.4× 27 0.1× 55 0.4× 168 1.3× 29 0.4× 44 822
Jiewen Wang China 16 383 0.7× 39 0.2× 13 0.1× 63 0.5× 104 1.3× 31 757

Countries citing papers authored by Shao‐An Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐An Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐An 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 Shao‐An Wang. The network helps show where Shao‐An Wang may publish in the future.

Co-authorship network of co-authors of Shao‐An Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐An Wang. A scholar is included among the top collaborators of Shao‐An 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 Shao‐An Wang. Shao‐An 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.
Young, Ming-Jer, Shao‐An Wang, Chia-Yu Liu, et al.. (2024). USP24-i-101 targeting of USP24 activates autophagy to inhibit drug resistance acquired during cancer therapy. Cell Death and Differentiation. 31(5). 574–591. 14 indexed citations
2.
3.
Wang, Shao‐An, Ying‐Chih Ko, Jen‐Tang Sun, et al.. (2023). Effect of crew ratio of advanced life support-trained personnel on patients with out-of-hospital cardiac arrest: A systematic review and meta-analysis. Journal of the Formosan Medical Association. 123(5). 561–570.
4.
Wang, Shao‐An, et al.. (2023). NCI677397 targeting USP24 ‐mediated induction of lipid peroxidation induces ferroptosis in drug‐resistant cancer cells. Molecular Oncology. 18(9). 2255–2276. 10 indexed citations
5.
Zhang, Huaqing, Shao‐An Wang, Zhiguang Sun, et al.. (2023). [Analysis of influencing factors and clinical value of anterior peritoneal reflection for patients with rectal cancer].. PubMed. 61(9). 788–794.
6.
Young, Ming-Jer, Shao‐An Wang, Wen‐Bin Yang, et al.. (2022). Estradiol-mediated inhibition of Sp1 decreases miR-3194-5p expression to enhance CD44 expression during lung cancer progression. Journal of Biomedical Science. 29(1). 3–3. 19 indexed citations
7.
Zhang, Kuan, Erica Yao, Shao‐An Wang, et al.. (2022). A functional circuit formed by the autonomic nerves and myofibroblasts controls mammalian alveolar formation for gas exchange. Developmental Cell. 57(13). 1566–1581.e7. 8 indexed citations
8.
Feng, Yin‐Hsun, Sher-Wei Lim, Shao‐An Wang, et al.. (2022). Allopregnanolone suppresses glioblastoma survival through decreasing DPYSL3 and S100A11 expression. The Journal of Steroid Biochemistry and Molecular Biology. 219. 106067–106067. 9 indexed citations
9.
Wang, Shao‐An, Ming-Jer Young, Yi-Chang Wang, et al.. (2021). USP24 promotes drug resistance during cancer therapy. Cell Death and Differentiation. 28(9). 2690–2707. 22 indexed citations
10.
Liang, Fu‐Wen, et al.. (2021). The effects of falls on the prediction of osteoporotic fractures: epidemiological cohort study. Archives of Osteoporosis. 16(1). 110–110. 9 indexed citations
11.
Wang, Shao‐An, Ming-Jer Young, W.Y. Jeng, Chia-Yu Liu, & Jan‐Jong Hung. (2020). USP24 stabilizes bromodomain containing proteins to promote lung cancer malignancy. Scientific Reports. 10(1). 20870–20870. 13 indexed citations
12.
Wang, Yi-Chang, Shao‐An Wang, Tsung‐I Hsu, et al.. (2015). Variants of ubiquitin-specific peptidase 24 play a crucial role in lung cancer malignancy. Oncogene. 35(28). 3669–3680. 22 indexed citations
13.
Hung, Chia-Yang, Wen‐Bin Yang, Shao‐An Wang, et al.. (2014). Nucleolin enhances internal ribosomal entry site (IRES)-mediated translation of Sp1 in tumorigenesis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(12). 2843–2854. 23 indexed citations
14.
Wang, Shao‐An, Chia-Yang Hung, Jian‐Ying Chuang, et al.. (2014). Phosphorylation of p300 increases its protein degradation to enhance the lung cancer progression. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(6). 1135–1149. 25 indexed citations
15.
Wang, Shao‐An, Hao‐Yi Li, Tsung‐I Hsu, et al.. (2011). Heat Shock Protein 90 Stabilizes Nucleolin to Increase mRNA Stability in Mitosis. Journal of Biological Chemistry. 286(51). 43816–43829. 30 indexed citations
16.
Liu, Yi‐Wen, et al.. (2010). Inhibition of LPS‐induced C/EBPδ by trichostatin a has a positive effect on LPS‐induced cyclooxygenase 2 expression in RAW264.7 cells. Journal of Cellular Biochemistry. 110(6). 1430–1438. 11 indexed citations
17.
Lee, Yungling Leo, Shao‐An Wang, Ching‐Hui Tsai, & Yue Leon Guo. (2009). Associations of β2‐adrenergic receptor genotypes and haplotypes with wheezing illness in Taiwanese schoolchildren. Allergy. 64(10). 1451–1457. 4 indexed citations
18.
Wang, Shao‐An, Jian‐Ying Chuang, Shiu-Hwa Yeh, et al.. (2009). Heat Shock Protein 90 Is Important for Sp1 Stability during Mitosis. Journal of Molecular Biology. 387(5). 1106–1119. 32 indexed citations
19.
Chen, Juan, et al.. (2005). ABO/secretor genetic complex is associated with the susceptibility of childhood asthma in Taiwan. Clinical & Experimental Allergy. 35(7). 926–932. 21 indexed citations
20.

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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