Bo-Ching Chen

1.2k total citations
38 papers, 904 citations indexed

About

Bo-Ching Chen is a scholar working on Pollution, Plant Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Bo-Ching Chen has authored 38 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pollution, 16 papers in Plant Science and 15 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Bo-Ching Chen's work include Heavy metals in environment (16 papers), Plant Stress Responses and Tolerance (12 papers) and Environmental Toxicology and Ecotoxicology (12 papers). Bo-Ching Chen is often cited by papers focused on Heavy metals in environment (16 papers), Plant Stress Responses and Tolerance (12 papers) and Environmental Toxicology and Ecotoxicology (12 papers). Bo-Ching Chen collaborates with scholars based in Taiwan, China and United States. Bo-Ching Chen's co-authors include Hung−Yu Lai, Kai‐Wei Juang, Yu Sung, Chung‐Min Liao, Yung‐I Lee, Wei‐Yu Chen, Chien-Hui Syu, Zueng‐Sang Chen, Zeng‐Yei Hseu and Horng-Yuh Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Bo-Ching Chen

37 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo-Ching Chen Taiwan 17 403 303 195 89 74 38 904
Concetta Eliana Gattullo Italy 18 406 1.0× 271 0.9× 171 0.9× 148 1.7× 48 0.6× 38 968
V. D. Meena India 14 495 1.2× 226 0.7× 152 0.8× 144 1.6× 61 0.8× 28 1.0k
S Vijayakumar India 13 363 0.9× 239 0.8× 127 0.7× 153 1.7× 69 0.9× 69 860
Afsheen Zehra Pakistan 15 402 1.0× 458 1.5× 121 0.6× 127 1.4× 34 0.5× 31 840
Zhiqin Chen China 19 729 1.8× 407 1.3× 118 0.6× 113 1.3× 49 0.7× 44 1.2k
Magalie Jannoyer France 21 460 1.1× 321 1.1× 252 1.3× 87 1.0× 59 0.8× 57 1.0k
Humberto Aponte Chile 12 265 0.7× 266 0.9× 107 0.5× 237 2.7× 76 1.0× 34 719
Carole Bedos France 19 402 1.0× 451 1.5× 209 1.1× 96 1.1× 70 0.9× 45 1.1k
Zulfiqar Ahmad Saqib Pakistan 16 457 1.1× 237 0.8× 124 0.6× 64 0.7× 226 3.1× 43 966
Aisha Abdulkadir Nigeria 8 188 0.5× 242 0.8× 139 0.7× 81 0.9× 40 0.5× 27 651

Countries citing papers authored by Bo-Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bo-Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo-Ching 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 Bo-Ching Chen. The network helps show where Bo-Ching Chen may publish in the future.

Co-authorship network of co-authors of Bo-Ching Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bo-Ching Chen. A scholar is included among the top collaborators of Bo-Ching 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 Bo-Ching Chen. Bo-Ching 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
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Juang, Kai‐Wei, Ting‐Fen Tsai, Chien-Hui Syu, & Bo-Ching Chen. (2023). Screen for low-arsenic-risk rice varieties based on environment–genotype interactions by using GGE analysis. Environmental Geochemistry and Health. 46(1). 4–4. 3 indexed citations
4.
Juang, Kai‐Wei, et al.. (2022). Coupling phytotoxicity and human health risk assessment to refine the soil quality standard for As in farmlands. Environmental Science and Pollution Research. 30(13). 38212–38225. 1 indexed citations
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Chen, Bo-Ching, et al.. (2020). Aspects of cultivar variation in physiological traits related to Cd distribution in rice plants with a short-term stress. Botanical studies. 61(1). 27–27. 10 indexed citations
7.
Juang, Kai‐Wei, et al.. (2020). Assessing human health risk of arsenic for rice consumption by an iron plaque based partition ratio model. The Science of The Total Environment. 763. 142973–142973. 11 indexed citations
8.
Juang, Kai‐Wei, et al.. (2019). Effects of Copper on Root Morphology, Cations Accumulation, and Oxidative Stress of Grapevine Seedlings. Bulletin of Environmental Contamination and Toxicology. 102(6). 873–879. 18 indexed citations
9.
Syu, Chien-Hui, et al.. (2018). Cadmium in rice grains from a field trial in relation to model parameters of Cd-toxicity and -absorption in rice seedlings. Ecotoxicology and Environmental Safety. 169. 837–847. 21 indexed citations
10.
Chen, Bo-Ching, et al.. (2017). Nonlinear biotic ligand model for assessing alleviation effects of Ca, Mg, and K on Cd toxicity to soybean roots. Ecotoxicology. 26(7). 942–955. 11 indexed citations
11.
Juang, Kai‐Wei, Yung‐I Lee, Hung−Yu Lai, & Bo-Ching Chen. (2014). Influence of magnesium on copper phytotoxicity to and accumulation and translocation in grapevines. Ecotoxicology and Environmental Safety. 104. 36–42. 38 indexed citations
12.
Chen, Bo-Ching, et al.. (2012). Alleviation effects of magnesium on copper toxicity and accumulation in grapevine roots evaluated with biotic ligand models. Ecotoxicology. 22(1). 174–183. 32 indexed citations
13.
Chen, Wei‐Yu, Yun‐Ru Ju, Bo-Ching Chen, et al.. (2011). Assessing abalone growth inhibition risk to cadmium and silver by linking toxicokinetics/toxicodynamics and subcellular partitioning. Ecotoxicology. 20(4). 912–924. 6 indexed citations
14.
Juang, Kai‐Wei, et al.. (2011). Copper accumulation, translocation, and toxic effects in grapevine cuttings. Environmental Science and Pollution Research. 19(4). 1315–1322. 51 indexed citations
15.
Juang, Kai‐Wei, Hung−Yu Lai, & Bo-Ching Chen. (2011). Coupling bioaccumulation and phytotoxicity to predict copper removal by switchgrass grown hydroponically. Ecotoxicology. 20(4). 827–835. 18 indexed citations
16.
Liao, Chung‐Min, Yun‐Ru Ju, Wei‐Yu Chen, & Bo-Ching Chen. (2010). Assessing the impact of waterborne and dietborne cadmium toxicity on susceptibility risk for rainbow trout. The Science of The Total Environment. 409(3). 503–513. 24 indexed citations
17.
Chen, Bo-Ching, Wei‐Chun Chou, Wei‐Yu Chen, & Chung‐Min Liao. (2010). Assessing the cancer risk associated with arsenic-contaminated seafood. Journal of Hazardous Materials. 181(1-3). 161–169. 34 indexed citations
18.
Chen, Bo-Ching, Wei‐Yu Chen, & Chung‐Min Liao. (2008). A biotic ligand model-based toxicodynamic approach to predict arsenic toxicity to tilapia gills in cultural ponds. Ecotoxicology. 18(3). 377–383. 8 indexed citations
19.
Liao, Chung‐Min, et al.. (2004). Risk-based approach to appraise valve closure in the clam Corbicula fluminea in response to waterborne metals. Environmental Pollution. 135(1). 41–52. 27 indexed citations
20.
Shinshi, Tadahiko, Jun-ichi Hashimoto, Bo-Ching Chen, Kaiji Sato, & Akira Shimokohbe. (1998). A New Magnetic Lead Screw and Its Basic Characteristics.. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 64(618). 690–697. 3 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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