Shi-Wei Chao

568 total citations
10 papers, 449 citations indexed

About

Shi-Wei Chao is a scholar working on Molecular Biology, Epidemiology and Organic Chemistry. According to data from OpenAlex, Shi-Wei Chao has authored 10 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Organic Chemistry. Recurrent topics in Shi-Wei Chao's work include Histone Deacetylase Inhibitors Research (7 papers), Peptidase Inhibition and Analysis (2 papers) and Phytochemical compounds biological activities (2 papers). Shi-Wei Chao is often cited by papers focused on Histone Deacetylase Inhibitors Research (7 papers), Peptidase Inhibition and Analysis (2 papers) and Phytochemical compounds biological activities (2 papers). Shi-Wei Chao collaborates with scholars based in Taiwan, United States and Czechia. Shi-Wei Chao's co-authors include Hui‐Chen Ku, Heng Lin, Ching‐Feng Cheng, Hsu‐Wen Chao, Wei‐Jan Huang, Chung-I Chang, Ching‐Chow Chen, Jih‐Hwa Guh, Liang‐Chieh Chen and Sandeep Singh and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Cell stem cell.

In The Last Decade

Shi-Wei Chao

10 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi-Wei Chao Taiwan 10 294 105 74 58 44 10 449
Tseng‐Hsi Lin Taiwan 13 187 0.6× 67 0.6× 82 1.1× 39 0.7× 50 1.1× 19 480
Barbara Bonamassa Italy 13 261 0.9× 65 0.6× 44 0.6× 40 0.7× 41 0.9× 17 463
Verónica Quiñones Chile 10 324 1.1× 87 0.8× 242 3.3× 81 1.4× 84 1.9× 19 709
Sima Mansoori Derakhshan Iran 5 325 1.1× 58 0.6× 69 0.9× 18 0.3× 18 0.4× 22 533
Francesca Cingolani United States 12 362 1.2× 161 1.5× 35 0.5× 93 1.6× 31 0.7× 18 581
Hidetaka Takashima Japan 7 149 0.5× 99 0.9× 81 1.1× 55 0.9× 19 0.4× 15 429
Yung-Wei Lin Taiwan 13 269 0.9× 70 0.7× 69 0.9× 16 0.3× 17 0.4× 25 475
Bing Xia China 13 219 0.7× 41 0.4× 127 1.7× 18 0.3× 43 1.0× 51 505
Ana Nedeljkovic-Kurepa United States 7 249 0.8× 46 0.4× 107 1.4× 33 0.6× 34 0.8× 11 464
José M. Jiménez‐López Spain 14 266 0.9× 95 0.9× 44 0.6× 28 0.5× 20 0.5× 21 466

Countries citing papers authored by Shi-Wei Chao

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Wei Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi-Wei Chao

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

All Works

10 of 10 papers shown
1.
Chao, Hsu‐Wen, Shi-Wei Chao, Heng Lin, Hui‐Chen Ku, & Ching‐Feng Cheng. (2019). Homeostasis of Glucose and Lipid in Non-Alcoholic Fatty Liver Disease. International Journal of Molecular Sciences. 20(2). 298–298. 134 indexed citations
2.
Cheng, Ching‐Feng, Hui‐Chen Ku, Jing‐Jy Cheng, et al.. (2019). Adipocyte browning and resistance to obesity in mice is induced by expression of ATF3. Communications Biology. 2(1). 389–389. 48 indexed citations
3.
Chao, Shi-Wei, Liang‐Chieh Chen, Changyi Liu, et al.. (2017). Discovery of aliphatic-chain hydroxamates containing indole derivatives with potent class I histone deacetylase inhibitory activities. European Journal of Medicinal Chemistry. 143. 792–805. 20 indexed citations
4.
Weng, Jing‐Ru, et al.. (2017). A Flavone Constituent from Myoporum bontioides Induces M-Phase Cell Cycle Arrest of MCF-7 Breast Cancer Cells. Molecules. 22(3). 472–472. 15 indexed citations
5.
Shih, Jin‐Yuan, et al.. (2015). DUSP1 Expression Induced by HDAC1 Inhibition Mediates Gefitinib Sensitivity in Non–Small Cell Lung Cancers. Clinical Cancer Research. 21(2). 428–438. 35 indexed citations
6.
Qi, Jing, Sandeep Singh, Qi Cai, et al.. (2015). HDAC8 Inhibition Specifically Targets Inv(16) Acute Myeloid Leukemic Stem Cells by Restoring p53 Acetylation. Cell stem cell. 17(5). 597–610. 85 indexed citations
7.
Chao, Shi-Wei, Ming-Yuan Su, Lih‐Chu Chiou, et al.. (2015). Total Synthesis of Hispidulin and the Structural Basis for Its Inhibition of Proto-oncogene Kinase Pim-1. Journal of Natural Products. 78(8). 1969–1976. 31 indexed citations
9.
Huang, Wei‐Jan, Yen-An Tang, Mei‐Yu Chen, et al.. (2013). A histone deacetylase inhibitor YCW1 with antitumor and antimetastasis properties enhances cisplatin activity against non-small cell lung cancer in preclinical studies. Cancer Letters. 346(1). 84–93. 20 indexed citations
10.
Huang, Wei‐Jan, Ching‐Chow Chen, Shi-Wei Chao, et al.. (2011). Synthesis and evaluation of aliphatic-chain hydroxamates capped with osthole derivatives as histone deacetylase inhibitors. European Journal of Medicinal Chemistry. 46(9). 4042–4049. 33 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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