De-Chuan Meng

692 total citations
10 papers, 510 citations indexed

About

De-Chuan Meng is a scholar working on Biomaterials, Process Chemistry and Technology and Molecular Biology. According to data from OpenAlex, De-Chuan Meng has authored 10 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 6 papers in Process Chemistry and Technology and 5 papers in Molecular Biology. Recurrent topics in De-Chuan Meng's work include biodegradable polymer synthesis and properties (9 papers), Carbon dioxide utilization in catalysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). De-Chuan Meng is often cited by papers focused on biodegradable polymer synthesis and properties (9 papers), Carbon dioxide utilization in catalysis (6 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). De-Chuan Meng collaborates with scholars based in China, Denmark and United States. De-Chuan Meng's co-authors include Guo‐Qiang Chen, Jinchun Chen, Qiong Wu, Linping Wu, Rui Shen, Qin Zhou, Zhenyu Shi, Hui Yao, Lakshmi Tripathi and Ying Wang and has published in prestigious journals such as Bioresource Technology, Biomacromolecules and Journal of Ethnopharmacology.

In The Last Decade

De-Chuan Meng

10 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De-Chuan Meng China 10 413 226 183 119 114 10 510
Ayaka Hiroe Japan 14 390 0.9× 199 0.9× 215 1.2× 125 1.1× 88 0.8× 22 440
Ahleum Chung China 8 359 0.9× 219 1.0× 155 0.8× 108 0.9× 96 0.8× 8 443
Eva Slaninová Czechia 10 312 0.8× 111 0.5× 195 1.1× 59 0.5× 83 0.7× 17 405
Satoshi Tomizawa Japan 11 314 0.8× 160 0.7× 171 0.9× 69 0.6× 140 1.2× 15 379
Ivan Hajnal China 8 217 0.5× 209 0.9× 114 0.6× 47 0.4× 90 0.8× 10 405
Björn Andreeßen Germany 8 197 0.5× 179 0.8× 78 0.4× 61 0.5× 116 1.0× 11 340
Mari Shiraki Japan 10 402 1.0× 265 1.2× 207 1.1× 46 0.4× 99 0.9× 22 497
M S Divyashree India 10 292 0.7× 98 0.4× 183 1.0× 42 0.4× 108 0.9× 39 405
M. N. M. Azizan Malaysia 10 316 0.8× 176 0.8× 143 0.8× 116 1.0× 107 0.9× 12 424
Muhammadi Muhammadi Pakistan 4 219 0.5× 76 0.3× 124 0.7× 58 0.5× 68 0.6× 6 303

Countries citing papers authored by De-Chuan Meng

Since Specialization
Citations

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

Fields of papers citing papers by De-Chuan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Chuan Meng. 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 De-Chuan Meng. The network helps show where De-Chuan Meng may publish in the future.

Co-authorship network of co-authors of De-Chuan Meng

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

All Works

10 of 10 papers shown
1.
Li, Hui, et al.. (2023). Vitex rotundifolia L. f. and Vitex trifolia L.: A review on their traditional medicine, phytochemistry, pharmacology. Journal of Ethnopharmacology. 308. 116273–116273. 26 indexed citations
2.
Meng, De-Chuan & Guo‐Qiang Chen. (2017). Synthetic Biology of Polyhydroxyalkanoates (PHA). Advances in biochemical engineering, biotechnology. 162. 147–174. 39 indexed citations
3.
Ren, Yilin, De-Chuan Meng, Linping Wu, et al.. (2016). Microbial synthesis of a novel terpolyester P( LAco ‐3 HBco ‐3 HP ) from low‐cost substrates. Microbial Biotechnology. 10(2). 371–380. 24 indexed citations
4.
Meng, De-Chuan, Ying Wang, Linping Wu, et al.. (2015). Production of poly(3-hydroxypropionate) and poly(3-hydroxybutyrate-co-3-hydroxypropionate) from glucose by engineering Escherichia coli. Metabolic Engineering. 29. 189–195. 42 indexed citations
5.
Meng, De-Chuan, Rui Shen, Hui Yao, et al.. (2014). Engineering the diversity of polyesters. Current Opinion in Biotechnology. 29. 24–33. 119 indexed citations
6.
Tripathi, Lakshmi, Linping Wu, De-Chuan Meng, et al.. (2013). Pseudomonas putida KT2442 as a platform for the biosynthesis of polyhydroxyalkanoates with adjustable monomer contents and compositions. Bioresource Technology. 142. 225–231. 54 indexed citations
7.
Shen, Rui, De-Chuan Meng, Linping Wu, et al.. (2013). Benzene containing polyhydroxyalkanoates homo- and copolymers synthesized by genome edited Pseudomonas entomophila. Science China Life Sciences. 57(1). 4–10. 27 indexed citations
8.
Tripathi, Lakshmi, Linping Wu, De-Chuan Meng, Jinchun Chen, & Guo‐Qiang Chen. (2013). Biosynthesis and Characterization of Diblock Copolymer of P(3-Hydroxypropionate)-block-P(4-hydroxybutyrate) from Recombinant Escherichia coli. Biomacromolecules. 14(3). 862–870. 42 indexed citations
9.
10.
Zhou, Qin, Zhenyu Shi, De-Chuan Meng, et al.. (2011). Production of 3-hydroxypropionate homopolymer and poly(3-hydroxypropionate-co-4-hydroxybutyrate) copolymer by recombinant Escherichia coli. Metabolic Engineering. 13(6). 777–785. 52 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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