Chia‐Cheng Wei

998 total citations
32 papers, 810 citations indexed

About

Chia‐Cheng Wei is a scholar working on Aging, Nutrition and Dietetics and Environmental Chemistry. According to data from OpenAlex, Chia‐Cheng Wei has authored 32 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aging, 9 papers in Nutrition and Dietetics and 8 papers in Environmental Chemistry. Recurrent topics in Chia‐Cheng Wei's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Selenium in Biological Systems (8 papers) and Per- and polyfluoroalkyl substances research (4 papers). Chia‐Cheng Wei is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Selenium in Biological Systems (8 papers) and Per- and polyfluoroalkyl substances research (4 papers). Chia‐Cheng Wei collaborates with scholars based in Taiwan, United States and China. Chia‐Cheng Wei's co-authors include Vivian Hsiu‐Chuan Liao, Chi‐Wei Huang, Chun‐Han Chang, Pei-Ling Yen, Chen‐Wuing Liu, Chung‐Min Liao, Fi‐John Chang, Yu-Ju Chu, Wei‐Chiang Shen and Chan‐Wei Yu and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chia‐Cheng Wei

31 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Cheng Wei Taiwan 17 209 204 190 137 127 32 810
Chan‐Wei Yu Taiwan 18 75 0.4× 255 1.3× 175 0.9× 189 1.4× 317 2.5× 28 1.1k
Abhishek Niranjan India 20 126 0.6× 308 1.5× 56 0.3× 77 0.6× 38 0.3× 54 965
William O. Ward United States 20 129 0.6× 437 2.1× 456 2.4× 67 0.5× 20 0.2× 48 1.2k
Tsu‐Shing Wang Taiwan 18 119 0.6× 501 2.5× 132 0.7× 32 0.2× 9 0.1× 28 1.1k
Shahedur Rahman Bangladesh 11 65 0.3× 217 1.1× 44 0.2× 49 0.4× 11 0.1× 17 791
Darakhshan Javaid India 5 34 0.2× 222 1.1× 74 0.4× 35 0.3× 18 0.1× 11 678
Shahid Yousuf Ganie India 5 34 0.2× 223 1.1× 71 0.4× 34 0.2× 18 0.1× 11 676
Luciane Aparecida Faine Brazil 18 22 0.1× 188 0.9× 333 1.8× 80 0.6× 19 0.1× 27 1.4k
Shila Samuel India 17 276 1.3× 393 1.9× 301 1.6× 24 0.2× 9 0.1× 33 1.1k
Ruifeng Fan China 28 63 0.3× 479 2.3× 904 4.8× 93 0.7× 13 0.1× 46 2.0k

Countries citing papers authored by Chia‐Cheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Cheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Cheng Wei. 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‐Cheng Wei. The network helps show where Chia‐Cheng Wei may publish in the future.

Co-authorship network of co-authors of Chia‐Cheng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Cheng Wei. A scholar is included among the top collaborators of Chia‐Cheng Wei 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‐Cheng Wei. Chia‐Cheng Wei 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
3.
Luo, Yu‐Syuan, et al.. (2024). Integrating high-throughput phenotypic profiling and transcriptomic analyses to predict the hepatosteatosis effects induced by per- and polyfluoroalkyl substances. Journal of Hazardous Materials. 469. 133891–133891. 4 indexed citations
4.
Koh, Yen‐Chun, Chun‐Han Chang, Chia‐Cheng Wei, et al.. (2023). Prevention of Glutamate‐Induced Neurodegeneration by Piceatannol via Mitochondrial Rescue In Vitro and In Vivo. Molecular Nutrition & Food Research. 67(13). e2300139–e2300139. 2 indexed citations
5.
Huang, Chi‐Wei, et al.. (2022). UV-filter octyl methoxycinnamate causes reproductive toxicity associated with germline apoptosis and vitellogenin decrease in Caenorhabditis elegans. Aquatic Toxicology. 247. 106149–106149. 11 indexed citations
7.
Huang, Chi‐Wei, et al.. (2021). Chronic exposure of zearalenone inhibits antioxidant defense and results in aging-related defects associated with DAF-16/FOXO in Caenorhabditis elegans. Environmental Pollution. 285. 117233–117233. 17 indexed citations
8.
Wei, Chia‐Cheng, et al.. (2021). Zearalenone Induces Dopaminergic Neurodegeneration via DRP-1-Involved Mitochondrial Fragmentation and Apoptosis in a Caenorhabditis elegans Parkinson’s Disease Model. Journal of Agricultural and Food Chemistry. 69(40). 12030–12038. 12 indexed citations
9.
Chang, Chun‐Han, Chia‐Cheng Wei, Chi‐Tang Ho, & Vivian Hsiu‐Chuan Liao. (2021). N-γ-(L-glutamyl)-L-selenomethionine shows neuroprotective effects against Parkinson's disease associated with SKN-1/Nrf2 and TRXR-1 in Caenorhabditis elegans. Phytomedicine. 92. 153733–153733. 13 indexed citations
10.
Wei, Chia‐Cheng, et al.. (2020). Parental CuO nanoparticles exposure results in transgenerational toxicity in Caenorhabditis elegans associated with possible epigenetic regulation. Ecotoxicology and Environmental Safety. 203. 111001–111001. 28 indexed citations
12.
Wei, Chia‐Cheng, Chun‐Han Chang, & Vivian Hsiu‐Chuan Liao. (2017). Anti-Parkinsonian effects of β-amyrin are regulated via LGG-1 involved autophagy pathway in Caenorhabditis elegans. Phytomedicine. 36. 118–125. 43 indexed citations
14.
Huang, Chi‐Wei, Chia‐Cheng Wei, & Vivian Hsiu‐Chuan Liao. (2015). A low cost color-based bacterial biosensor for measuring arsenic in groundwater. Chemosphere. 141. 44–49. 35 indexed citations
15.
Chang, Chun‐Han, et al.. (2015). Humic acids enhance the microbially mediated release of sedimentary ferrous iron. Environmental Science and Pollution Research. 23(5). 4176–4184. 11 indexed citations
16.
Wei, Chia‐Cheng, Chan‐Wei Yu, Pei-Ling Yen, et al.. (2014). Antioxidant Activity, Delayed Aging, and Reduced Amyloid-β Toxicity of Methanol Extracts of Tea Seed Pomace from Camellia tenuifolia. Journal of Agricultural and Food Chemistry. 62(44). 10701–10707. 27 indexed citations
17.
Li, Wen-Hsuan, Chun‐Han Chang, Chi‐Wei Huang, Chia‐Cheng Wei, & Vivian Hsiu‐Chuan Liao. (2014). Selenite Enhances Immune Response against Pseudomonas aeruginosa PA14 via SKN-1 in Caenorhabditis elegans. PLoS ONE. 9(8). e105810–e105810. 16 indexed citations
18.
Yu, Chan‐Wei, Chia‐Cheng Wei, & Vivian Hsiu‐Chuan Liao. (2013). Curcumin-mediated oxidative stress resistance inCaenorhabditis elegansis modulated byage-1, akt-1, pdk-1, osr-1, unc-43, sek-1, skn-1, sir-2.1, andmev-1. Free Radical Research. 48(3). 371–379. 42 indexed citations
19.
Huang, Chao‐Yuan, et al.. (2011). Bortezomib enhances radiation-induced apoptosis in solid tumors by inhibiting CIP2A. Cancer Letters. 317(1). 9–15. 28 indexed citations
20.
Liao, Vivian Hsiu‐Chuan, Yu-Ju Chu, Chia‐Cheng Wei, et al.. (2010). Arsenite-oxidizing and arsenate-reducing bacteria associated with arsenic-rich groundwater in Taiwan. Journal of Contaminant Hydrology. 123(1-2). 20–29. 171 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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