Kuan‐Chung Chen

2.4k total citations
80 papers, 2.0k citations indexed

About

Kuan‐Chung Chen is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kuan‐Chung Chen has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Electrical and Electronic Engineering and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kuan‐Chung Chen's work include Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (6 papers) and Advanced Photocatalysis Techniques (5 papers). Kuan‐Chung Chen is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (6 papers) and Advanced Photocatalysis Techniques (5 papers). Kuan‐Chung Chen collaborates with scholars based in Taiwan, United States and India. Kuan‐Chung Chen's co-authors include Yu‐Hsiang Wang, Calvin Yu‐Chian Chen, Ching‐Ping Liu, Calvin Yu‐Chian Chen, Te‐Haw Wu, Chia‐Yeh Liu, Shu‐Yi Lin, How‐Ran Chao, Hsin‐Yi Chen and Kai‐Wei Chang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Water Research.

In The Last Decade

Kuan‐Chung Chen

79 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Chung Chen Taiwan 25 492 366 361 324 227 80 2.0k
Zhigang Li China 30 749 1.5× 366 1.0× 482 1.3× 351 1.1× 168 0.7× 148 3.1k
Yuting Zhou China 24 677 1.4× 158 0.4× 503 1.4× 257 0.8× 78 0.3× 91 2.1k
Yanhao Zhang China 36 715 1.5× 403 1.1× 626 1.7× 422 1.3× 192 0.8× 160 3.6k
Haiying Yu China 28 184 0.4× 183 0.5× 474 1.3× 537 1.7× 262 1.2× 106 2.1k
Honghua Zhang China 25 358 0.7× 326 0.9× 70 0.2× 378 1.2× 187 0.8× 133 2.6k
Masataka Mochizuki Japan 30 443 0.9× 614 1.7× 172 0.5× 356 1.1× 369 1.6× 190 3.5k
Emilio Marengo Italy 35 1.0k 2.1× 173 0.5× 271 0.8× 414 1.3× 78 0.3× 113 3.3k
Eladia María Peña‐Méndez Spain 21 207 0.4× 645 1.8× 144 0.4× 432 1.3× 152 0.7× 64 2.4k
Xinru Wang China 32 751 1.5× 294 0.8× 621 1.7× 216 0.7× 348 1.5× 222 3.9k

Countries citing papers authored by Kuan‐Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan‐Chung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Chung Chen. A scholar is included among the top collaborators of Kuan‐Chung 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 Kuan‐Chung Chen. Kuan‐Chung 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.
Kar, Asit Kumar, et al.. (2024). Highly active ZnO/Fe3+-TiO2 photocatalysts for visible-light photodegradation application and its colour change behaviour by d-d transition. Materials Science and Engineering B. 305. 117394–117394. 9 indexed citations
2.
Wu, Chih-Chao, et al.. (2023). A study on photodegradation of trichloroethylene using an optical fiber coated with different photocatalysts. Materials Science in Semiconductor Processing. 163. 107538–107538. 4 indexed citations
3.
Chen, Kuan‐Chung, Chi‐Rei Wu, & Jin‐Cherng Lien. (2020). Molecular interaction of cytotoxic anticancer analogues as inhibitors of β -tubulin protein against UACC-62 melanoma cell. The Journal of Biochemistry. 169(5). 621–627. 1 indexed citations
4.
Lien, Jin‐Cherng, et al.. (2019). A novel 2‐aminobenzimidazole‐based compound Jzu 17 exhibits anti‐angiogenesis effects by targeting VEGFR‐2 signalling. British Journal of Pharmacology. 176(20). 4034–4049. 19 indexed citations
5.
6.
Chen, Kuan‐Chung, Wen‐Yuan Lee, Hsin‐Yi Chen, & Calvin Yu‐Chian Chen. (2014). In SilicoInvestigation of Potential TRAF6 Inhibitor from Traditional Chinese Medicine against Cancers. BioMed Research International. 2014. 1–14. 3 indexed citations
7.
Chen, Kuan‐Chung, Mao-Feng Sun, Hsin‐Yi Chen, Cheng-Chun Lee, & Calvin Yu‐Chian Chen. (2014). Potential Smoothened Inhibitor from Traditional Chinese Medicine against the Disease of Diabetes, Obesity, and Cancer. BioMed Research International. 2014. 1–12. 9 indexed citations
8.
Chen, Kuan‐Chung, Mao-Feng Sun, & Calvin Yu‐Chian Chen. (2014). In Silico Investigation of Potential PARP‐1 Inhibitors from Traditional Chinese Medicine. Evidence-based Complementary and Alternative Medicine. 2014(1). 917605–917605. 9 indexed citations
9.
Lee, Wen‐Yuan, Hsin‐Yi Chen, Kuan‐Chung Chen, & Calvin Yu‐Chian Chen. (2014). Treatment of Rheumatoid Arthritis with Traditional Chinese Medicine. BioMed Research International. 2014. 1–11. 31 indexed citations
10.
Chen, Kuan‐Chung & Calvin Yu‐Chian Chen. (2014). In Silico Identification of Potent PPAR‐γ Agonists from Traditional Chinese Medicine: A Bioactivity Prediction, Virtual Screening, and Molecular Dynamics Study. Evidence-based Complementary and Alternative Medicine. 2014(1). 192452–192452. 16 indexed citations
11.
Chen, Kuen‐Bao, Hsin‐Yi Chen, Kuan‐Chung Chen, & Calvin Yu‐Chian Chen. (2014). Treatment of Cardiovascular Disease by Traditional Chinese Medicine against Pregnane X Receptor. BioMed Research International. 2014. 1–17. 18 indexed citations
12.
Chiu, Chien‐Ching, et al.. (2012). Bit Error Rate Reduction by Smart UWB Antenna Array in Indoor Wireless Communication. Journal of Applied Science and Engineering. 15(2). 139–148. 12 indexed citations
13.
Chao, How‐Ran, Yaonan Wang, Chien‐Yu Chen, et al.. (2012). An Improved AhR Reporter Gene Assay for Analyzing Dioxins in Soil, Sediment and Fish. Bulletin of Environmental Contamination and Toxicology. 89(4). 739–743. 8 indexed citations
14.
15.
Chen, Kuan‐Chung, Kai‐Wei Chang, Hsin‐Yi Chen, & Calvin Yu‐Chian Chen. (2011). Traditional Chinese medicine, a solution for reducing dual stroke risk factors at once?. Molecular BioSystems. 7(9). 2711–2719. 39 indexed citations
16.
Chen, Kuan‐Chung, Kai‐Wei Chang, Hsin‐Yi Chen, et al.. (2011). In silico pharmacology suggests ginger extracts may reduce stroke risks. Molecular BioSystems. 7(9). 2702–2710. 43 indexed citations
17.
Chen, Kuan‐Chung & Yu‐Hsiang Wang. (2011). Control of disinfection by-product formation using ozone-based advanced oxidation processes. Environmental Technology. 33(4). 487–495. 27 indexed citations
18.
Chen, Fu‐An, et al.. (2010). Negative associations between PBDE levels and thyroid hormones in cord blood. International Journal of Hygiene and Environmental Health. 214(2). 115–120. 69 indexed citations
19.
Chen, Kuan‐Chung. (2007). Self-determination Theory: Implications for Motivation in Online Learning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2007(1). 6745–6750. 6 indexed citations
20.
Chen, Kuan‐Chung, et al.. (2004). Evaluation of biodegradability of NOM after ozonation. Water Research. 38(12). 2839–2846. 87 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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