Hsin‐Chang Chen

1.7k total citations
83 papers, 1.4k citations indexed

About

Hsin‐Chang Chen is a scholar working on Health, Toxicology and Mutagenesis, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Hsin‐Chang Chen has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Health, Toxicology and Mutagenesis, 13 papers in Spectroscopy and 13 papers in Biomedical Engineering. Recurrent topics in Hsin‐Chang Chen's work include Effects and risks of endocrine disrupting chemicals (30 papers), Toxic Organic Pollutants Impact (14 papers) and Analytical chemistry methods development (10 papers). Hsin‐Chang Chen is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (30 papers), Toxic Organic Pollutants Impact (14 papers) and Analytical chemistry methods development (10 papers). Hsin‐Chang Chen collaborates with scholars based in Taiwan, United States and Malaysia. Hsin‐Chang Chen's co-authors include Wang-Hsien Ding, Po‐Chin Huang, Wang‐Hsien Ding, Wan‐Ting Chang, Winnie Yang, Yu‐Fang Huang, Jung-Wei Chang, Kuen‐Yuh Wu, Mei-Lien Chen and Alexander Waits and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Hsin‐Chang Chen

79 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Chang Chen Taiwan 22 618 353 335 172 168 83 1.4k
Noelia Caballero‐Casero Spain 21 691 1.1× 213 0.6× 284 0.8× 130 0.8× 233 1.4× 39 1.4k
Claude Schummer Luxembourg 18 352 0.6× 266 0.8× 151 0.5× 125 0.7× 170 1.0× 23 1.0k
Mehmet Akyüz Türkiye 21 699 1.1× 177 0.5× 110 0.3× 167 1.0× 131 0.8× 48 1.5k
Cato Brede Norway 20 469 0.8× 170 0.5× 216 0.6× 118 0.7× 196 1.2× 51 1.7k
M. Repetto Spain 23 417 0.7× 185 0.5× 219 0.7× 83 0.5× 146 0.9× 82 1.5k
Fabrizio Ruggieri Italy 25 534 0.9× 473 1.3× 187 0.6× 280 1.6× 451 2.7× 64 2.0k
Gregory O. Noonan United States 22 639 1.0× 169 0.5× 332 1.0× 126 0.7× 93 0.6× 37 1.4k
Elsa Lundanes Norway 23 763 1.2× 287 0.8× 198 0.6× 292 1.7× 406 2.4× 52 1.7k
Lothar Dunemann Germany 23 777 1.3× 502 1.4× 303 0.9× 215 1.3× 182 1.1× 59 1.6k

Countries citing papers authored by Hsin‐Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Chang Chen. 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 Hsin‐Chang Chen. The network helps show where Hsin‐Chang Chen may publish in the future.

Co-authorship network of co-authors of Hsin‐Chang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Chang Chen. A scholar is included among the top collaborators of Hsin‐Chang Chen 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 Hsin‐Chang Chen. Hsin‐Chang Chen 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.
Huang, Yu‐Fang, et al.. (2024). Determination of 16 ultraviolet–absorbing compounds in marine invertebrates by using LC-USI-MS/MS coupled with QuEChERS. Food Chemistry. 459. 140328–140328. 2 indexed citations
2.
Huang, Po‐Chin, et al.. (2024). Urinary paraben exposure increases the risk of a low estimated glomerular filtration rate in Taiwanese general population. Ecotoxicology and Environmental Safety. 283. 116775–116775. 1 indexed citations
3.
Li, Yi-An, et al.. (2024). A M-PEEK rod system to stabilize spinal motion after graded facetectomy: a finite element study. BMC Musculoskeletal Disorders. 25(1). 838–838. 1 indexed citations
4.
Lo, Yu‐Chun, Hsin‐Chang Chen, Ta-Chih Hsiao, et al.. (2023). Data on lung and intestinal microbiome after air pollution exposure in ageing rats. Data in Brief. 47. 109004–109004. 6 indexed citations
5.
Huang, Po‐Chin, Hsin‐Chang Chen, Ivy Shiue, et al.. (2022). Are Phthalate Exposure Related to Oxidative Stress in Children and Adolescents with Asthma? A Cumulative Risk Assessment Approach. Antioxidants. 11(7). 1315–1315. 8 indexed citations
6.
Chang, Jung-Wei, et al.. (2022). Phthalate Exposure and Oxidative/Nitrosative Stress in Childhood Asthma: A Nested Case-Control Study with Propensity Score Matching. Biomedicines. 10(6). 1438–1438. 6 indexed citations
7.
Huang, Yu‐Fang, et al.. (2021). Simultaneous trace analysis of 10 benzophenone-type ultraviolet filters in fish through liquid chromatography–tandem mass spectrometry. Environmental Pollution. 286. 117306–117306. 26 indexed citations
8.
Chen, Yi‐Hsuan, C.-C. Chien, Yuan‐Horng Yan, et al.. (2021). Three month inhalation exposure to low-level PM2.5 induced brain toxicity in an Alzheimer’s disease mouse model. PLoS ONE. 16(8). e0254587–e0254587. 43 indexed citations
9.
Waits, Alexander, Hsin‐Chang Chen, Pao‐Lin Kuo, et al.. (2020). Urinary phthalate metabolites are associated with biomarkers of DNA damage and lipid peroxidation in pregnant women – Tainan Birth Cohort Study (TBCS). Environmental Research. 188. 109863–109863. 38 indexed citations
10.
11.
Chen, Hsin‐Chang, et al.. (2017). Biomechanical evaluation of a novel pedicle screw-based interspinous spacer: A finite element analysis. Medical Engineering & Physics. 46(1). 27–32. 10 indexed citations
12.
Yong, Yoong Soon, et al.. (2017). A Comparative Study of Pentafluorophenyl and Octadecylsilane Columns in High-throughput Profiling of Biological Fluids. Journal of the Chinese Chemical Society. 64(6). 699–710. 9 indexed citations
13.
Wu, Charlene, et al.. (2016). Pharmacokinetics and bioavailability of oral single-dose maleic acid in biofluids of Sprague-Dawley rats. Drug Metabolism and Pharmacokinetics. 31(6). 451–457. 6 indexed citations
14.
Chen, Hsin‐Chang, et al.. (2015). Study of urinary 2-{[2-(acetylamino-2-carboxyethyl]sulfanyl}butanedioic acid, a mercapturic acid of rats treated with maleic acid. Toxicology Letters. 236(3). 131–137. 3 indexed citations
15.
16.
Chen, Hsin‐Chang, et al.. (2008). Using liquid chromatography–ion trap mass spectrometry to determine pharmaceutical residues in Taiwanese rivers and wastewaters. Chemosphere. 72(6). 863–869. 44 indexed citations
17.
Chen, Hsin‐Chang, Tung‐Fu Huang, Po‐Hsin Chou, & Tain-Hsiung Chen. (2007). Deltoid contracture: a case with multiple muscle contractures. Archives of Orthopaedic and Trauma Surgery. 128(11). 1239–1243. 3 indexed citations
18.
Chen, Hsin‐Chang & Fang‐Yao Chiu. (2006). Chronic knee dislocation treated with arthroplasty. Injury Extra. 38(8). 258–261. 9 indexed citations
19.
Chen, Hsin‐Chang, et al.. (2005). Determination of fluorescent whitening agents in environmental waters by solid-phase extraction and ion pair liquid chromatography–tandem mass spectrometry. Journal of Chromatography A. 1102(1-2). 135–142. 40 indexed citations
20.
Chen, Hsin‐Chang & Wang-Hsien Ding. (2003). Analysis of naphthalenesulfonate compounds by cyclodextrin-mediated capillary electrophoresis with sample stacking. Journal of Chromatography A. 996(1-2). 205–212. 9 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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