Chia-Wen Hsu

692 total citations
11 papers, 222 citations indexed

About

Chia-Wen Hsu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Chia-Wen Hsu has authored 11 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Chia-Wen Hsu's work include Cancer, Hypoxia, and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Estrogen and related hormone effects (2 papers). Chia-Wen Hsu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Estrogen and related hormone effects (2 papers). Chia-Wen Hsu collaborates with scholars based in United States and Taiwan. Chia-Wen Hsu's co-authors include Menghang Xia, Kuo Yuan, Ruili Huang, Jinghua Zhao, Keith A. Houck, Jane P. F. Bai, Srilatha Sakamuru, Jui‐Hua Hsieh, Jon Hamm and Xiaoqing Chang and has published in prestigious journals such as Scientific Reports, Environmental Health Perspectives and Journal of Pharmaceutical Sciences.

In The Last Decade

Chia-Wen Hsu

11 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chia-Wen Hsu United States	8	84	42	36	34	30	11	222
H. Hildebrand Germany	10	160 1.9×	11 0.3×	7 0.2×	28 0.8×	24 0.8×	17	378
Kunio Hayashi Japan	10	88 1.0×	5 0.1×	9 0.3×	16 0.5×	17 0.6×	43	328
Vincent Laville France	9	94 1.1×	3 0.1×	40 1.1×	16 0.5×	16 0.5×	22	231
Céline Merg Switzerland	12	129 1.5×	3 0.1×	11 0.3×	116 3.4×	11 0.4×	17	350
Yan Zhuang China	10	170 2.0×	16 0.4×	4 0.1×	5 0.1×	23 0.8×	37	360
Jyy-Jih Tsai-Wu Taiwan	11	234 2.8×	8 0.2×	3 0.1×	6 0.2×	23 0.8×	20	379
Yuxi Zhang China	8	160 1.9×	4 0.1×	3 0.1×	14 0.4×	23 0.8×	33	368
Charu Gupta India	12	133 1.6×	29 0.7×	1 0.0×	36 1.1×	29 1.0×	44	465
Abigael C. J. Polley United Kingdom	7	128 1.5×	10 0.2×		9 0.3×	34 1.1×	7	305

Countries citing papers authored by Chia-Wen Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Wen Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Wen Hsu. 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 Chia-Wen Hsu. The network helps show where Chia-Wen Hsu may publish in the future.

Co-authorship network of co-authors of Chia-Wen Hsu

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

All Works

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11 of 11 papers shown

Friedman, Katie Paul, Matt Martin, Kevin M. Crofton, et al.. (2019). Limited Chemical Structural Diversity Found to Modulate Thyroid Hormone Receptor in the Tox21 Chemical Library. Environmental Health Perspectives. 127(9). 97009–97009. 56 indexed citations

Hsu, Chia-Wen, et al.. (2018). Construction and application of (Q)SAR models to predict chemical-induced in vitro chromosome aberrations. Regulatory Toxicology and Pharmacology. 99. 274–288. 7 indexed citations

Bai, Jane P. F. & Chia-Wen Hsu. (2018). Drug Repurposing for Ebola Virus Disease: Principles of Consideration and the Animal Rule. Journal of Pharmaceutical Sciences. 108(2). 798–806. 14 indexed citations

Li, Shuaizhang, Chia-Wen Hsu, Srilatha Sakamuru, et al.. (2017). Identification of Angiogenesis Inhibitors Using a Co-culture Cell Model in a High-Content and High-Throughput Screening Platform. SLAS TECHNOLOGY. 23(3). 217–225. 10 indexed citations

Hsu, Chia-Wen, et al.. (2016). Using β-Lactamase and NanoLuc Luciferase Reporter Gene Assays to Identify Inhibitors of the HIF-1 Signaling Pathway. Methods in molecular biology. 1473. 23–31. 2 indexed citations

Hsu, Chia-Wen, Ruili Huang, Sue Griffin, et al.. (2016). Identification of approved and investigational drugs that inhibit hypoxia-inducible factor-1 signaling. Oncotarget. 7(7). 8172–8183. 18 indexed citations

Hsu, Chia-Wen, Jui‐Hua Hsieh, Ruili Huang, et al.. (2016). Differential modulation of FXR activity by chlorophacinone and ivermectin analogs. Toxicology and Applied Pharmacology. 313. 138–148. 8 indexed citations

Hsu, Chia-Wen, Jinghua Zhao, & Menghang Xia. (2016). Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity. Methods in molecular biology. 1473. 43–53. 1 indexed citations

Hsu, Chia-Wen, Ruili Huang, Sheng Dai, et al.. (2016). Identification of HDAC Inhibitors Using a Cell-Based HDAC I/II Assay. SLAS DISCOVERY. 21(6). 643–652. 24 indexed citations

10.

Hsu, Chia-Wen, Jinghua Zhao, Ruili Huang, et al.. (2014). Quantitative High-Throughput Profiling of Environmental Chemicals and Drugs that Modulate Farnesoid X Receptor. Scientific Reports. 4(1). 6437–6437. 36 indexed citations

11.

Hsu, Chia-Wen, et al.. (2008). The negative effect of platelet-rich plasma on the growth of human cells is associated with secreted thrombospondin-1. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 107(2). 185–192. 46 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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