Chao Yang

3.8k total citations
104 papers, 2.8k citations indexed

About

Chao Yang is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, Chao Yang has authored 104 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 37 papers in Pollution and 18 papers in Ecology. Recurrent topics in Chao Yang's work include Pharmaceutical and Antibiotic Environmental Impacts (22 papers), Pesticide and Herbicide Environmental Studies (19 papers) and Microbial Metabolic Engineering and Bioproduction (19 papers). Chao Yang is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (22 papers), Pesticide and Herbicide Environmental Studies (19 papers) and Microbial Metabolic Engineering and Bioproduction (19 papers). Chao Yang collaborates with scholars based in China, United States and Hong Kong. Chao Yang's co-authors include Cunjiang Song, Shufang Wang, Ruihua Liu, Shufang Wang, Weixia Gao, Tong Zhang, Chuanling Qiao, Jun Feng, Fengjie Zhao and You Che and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Chao Yang

100 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Yang China 33 1.3k 905 461 385 375 104 2.8k
Giti Emtiazi Iran 30 1.0k 0.8× 778 0.9× 416 0.9× 1.0k 2.7× 322 0.9× 190 3.2k
Kambiz Akbari Noghabi Iran 33 1.0k 0.8× 927 1.0× 186 0.4× 591 1.5× 453 1.2× 97 2.9k
Cunjiang Song China 26 920 0.7× 552 0.6× 330 0.7× 235 0.6× 485 1.3× 66 2.0k
Shigeru Morimura Japan 38 2.1k 1.6× 532 0.6× 330 0.7× 1.1k 2.9× 398 1.1× 149 4.3k
Ryuichiro Kurane Japan 32 1.1k 0.8× 606 0.7× 282 0.6× 464 1.2× 267 0.7× 108 2.8k
Si Wouk Kim South Korea 31 1.4k 1.1× 397 0.4× 329 0.7× 610 1.6× 217 0.6× 138 3.1k
S. Hartmans Netherlands 32 1.4k 1.1× 1.2k 1.3× 221 0.5× 460 1.2× 414 1.1× 65 3.0k
Anjana J. Desai India 26 606 0.5× 1.2k 1.3× 196 0.4× 322 0.8× 181 0.5× 55 2.1k
Tadaatsu Nakahara Japan 31 2.0k 1.5× 2.0k 2.2× 430 0.9× 833 2.2× 355 0.9× 115 3.9k

Countries citing papers authored by Chao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Yang. 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 Chao Yang. The network helps show where Chao Yang may publish in the future.

Co-authorship network of co-authors of Chao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yang. A scholar is included among the top collaborators of Chao Yang 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 Chao Yang. Chao Yang 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.
Yang, Chao, Yan Cheng, Tianxi Zhang, et al.. (2025). Multi-omics analysis provides new insights into the molecular mechanisms underlying colostral immunoglobulin G absorption in the gut of neonatal goat kids. Animal nutrition. 21. 166–178. 1 indexed citations
2.
Liu, Yujie, et al.. (2025). Creating a Halotolerant Degrader for Efficient Mineralization of p ‐Nitrophenol‐Substituted Organophosphorus Pesticides in High‐Saline Wastewater. Biotechnology and Bioengineering. 122(4). 936–947. 1 indexed citations
3.
4.
Liang, Jin, et al.. (2024). Effects of internals on macroscopic fluid dynamics in a bubble column. Chinese Journal of Chemical Engineering. 77. 19–29.
5.
Wang, Chunxiao, Xiaole Yin, Xiaoqing Xu, et al.. (2024). Metagenomic absolute quantification of antibiotic resistance genes and virulence factor genes-carrying bacterial genomes in anaerobic digesters. Water Research. 253. 121258–121258. 14 indexed citations
6.
Wang, Siqi, et al.. (2024). Establishment of low‐cost production platforms of polyhydroxyalkanoate bioplastics from Halomonas cupida J9. Biotechnology and Bioengineering. 121(7). 2106–2120. 12 indexed citations
7.
Liu, Honglu, Yaping Chen, Siqi Wang, et al.. (2023). Metabolic engineering of genome-streamlined strain Pseudomonas putida KTU-U27 for medium-chain-length polyhydroxyalkanoate production from xylose and cellobiose. International Journal of Biological Macromolecules. 253(Pt 2). 126732–126732. 10 indexed citations
8.
Yang, Yu, Yu Deng, Xianghui Shi, et al.. (2023). QMRA of beach water by Nanopore sequencing-based viability-metagenomics absolute quantification. Water Research. 235. 119858–119858. 21 indexed citations
9.
10.
Liu, Yujie, Rui Huang, Yiting Zhang, et al.. (2021). Development of a novel promoter engineering-based strategy for creating an efficient para-nitrophenol-mineralizing bacterium. Journal of Hazardous Materials. 424(Pt D). 127672–127672. 15 indexed citations
11.
Xu, Fan, Yiting Zhang, Fengjie Zhao, et al.. (2020). Genome reduction enhances production of polyhydroxyalkanoate and alginate oligosaccharide in Pseudomonas mendocina. International Journal of Biological Macromolecules. 163. 2023–2031. 22 indexed citations
12.
Wu, Qiong, Yue Tian, Chao Yang, et al.. (2020). Sequential amidation of peptide C‐termini for improving fragmentation efficiency. Journal of Mass Spectrometry. 56(4). e4529–e4529. 3 indexed citations
13.
Song, Zhaopeng, et al.. (2019). Genome-wide identification and characterization of Hsp70 gene family in Nicotiana tabacum. Molecular Biology Reports. 46(2). 1941–1954. 40 indexed citations
14.
Yang, Chao, Xiaoqing Xu, Yanping Liu, et al.. (2017). Simultaneous hydrolysis of carbaryl and chlorpyrifos by Stenotrophomonas sp. strain YC-1 with surface-displayed carbaryl hydrolase. Scientific Reports. 7(1). 13391–13391. 10 indexed citations
15.
16.
Yang, Chao, Yu Xia, Hong Qu, et al.. (2016). MOESM1 of Discovery of new cellulases from the metagenome by a metagenomics-guided strategy. Figshare. 1 indexed citations
17.
Gong, Ting, Ruihua Liu, You Che, et al.. (2016). Engineering Pseudomonas putida KT 2440 for simultaneous degradation of carbofuran and chlorpyrifos. Microbial Biotechnology. 9(6). 792–800. 32 indexed citations
18.
Liu, Ruihua, Zhenqiang Zuo, Cunjiang Song, et al.. (2014). Twin-Arginine Signal Peptide of Bacillus subtilis YwbN Can Direct Tat-Dependent Secretion of Methyl Parathion Hydrolase. Journal of Agricultural and Food Chemistry. 62(13). 2913–2918. 14 indexed citations
19.
Feng, Jun, Weixia Gao, Yanyan Gu, et al.. (2014). Functions of poly-gamma-glutamic acid (γ-PGA) degradation genes in γ-PGA synthesis and cell morphology maintenance. Applied Microbiology and Biotechnology. 98(14). 6397–6407. 51 indexed citations
20.
Yang, Chao, Wei Zhang, Ruihua Liu, et al.. (2011). Phylogenetic Diversity and Metabolic Potential of Activated Sludge Microbial Communities in Full-Scale Wastewater Treatment Plants. Environmental Science & Technology. 45(17). 7408–7415. 173 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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