Yu Jiang

5.7k total citations · 1 hit paper
79 papers, 4.2k citations indexed

About

Yu Jiang is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Yu Jiang has authored 79 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 34 papers in Biomedical Engineering and 17 papers in Genetics. Recurrent topics in Yu Jiang's work include Microbial Metabolic Engineering and Bioproduction (40 papers), Biofuel production and bioconversion (31 papers) and CRISPR and Genetic Engineering (21 papers). Yu Jiang is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (40 papers), Biofuel production and bioconversion (31 papers) and CRISPR and Genetic Engineering (21 papers). Yu Jiang collaborates with scholars based in China, United States and United Kingdom. Yu Jiang's co-authors include Sheng Yang, Bingbing Sun, Junjie Yang, Biao Chen, Weihong Jiang, Yunliu Yang, Daijie Chen, Zhiqiang Wen, Feng Dong and Shuliang Gao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yu Jiang

77 papers receiving 4.2k citations

Hit Papers

Multigene Editing in the Escherichia coli Genome via the ... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Jiang China 34 3.6k 1.4k 762 381 212 79 4.2k
Laura R. Jarboe United States 31 2.3k 0.6× 1.7k 1.3× 433 0.6× 267 0.7× 140 0.7× 72 3.3k
Guillermo Gosset Mexico 46 4.5k 1.3× 1.5k 1.1× 1.5k 1.9× 575 1.5× 512 2.4× 138 5.7k
Guang Zhao China 31 1.9k 0.5× 768 0.6× 257 0.3× 217 0.6× 187 0.9× 76 2.6k
Shihui Yang China 36 2.9k 0.8× 2.3k 1.7× 398 0.5× 592 1.6× 91 0.4× 132 4.1k
José M. Luengo Spain 34 2.3k 0.6× 364 0.3× 482 0.6× 302 0.8× 280 1.3× 105 3.4k
Ziduo Liu China 29 1.4k 0.4× 707 0.5× 213 0.3× 617 1.6× 147 0.7× 93 2.4k
Lutz Fischer Germany 34 2.2k 0.6× 449 0.3× 308 0.4× 731 1.9× 374 1.8× 150 3.8k
Hubert Bahl Germany 39 3.2k 0.9× 2.0k 1.5× 564 0.7× 642 1.7× 402 1.9× 93 4.5k
Yang Gu China 33 1.8k 0.5× 1.2k 0.9× 335 0.4× 199 0.5× 174 0.8× 80 2.9k
Pascal Dhulster France 38 3.0k 0.8× 654 0.5× 190 0.2× 356 0.9× 118 0.6× 150 4.5k

Countries citing papers authored by Yu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jiang. A scholar is included among the top collaborators of Yu Jiang 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 Yu Jiang. Yu Jiang 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.
Wang, Xiaoyu, Siqi Yang, Fenghui Qian, et al.. (2025). RAGATH-Associated DNA Nuclease Assisted DNA Insertion in Corynebacterium glutamicum. ACS Synthetic Biology. 14(5). 1861–1867.
2.
Zhang, Rui, Can Zhu, Yu Jiang, et al.. (2025). An eco-friendly catalytic pretreatment using recyclable CuFeO2 catalyst for enhancing the production of bio-based ethanol and jet fuel. Biomass and Bioenergy. 194. 107668–107668. 2 indexed citations
3.
Wang, Mengting, Yu Jiang, Qingyun Xue, et al.. (2024). Mitochondrial genome insights into the spatio-temporal distribution and genetic diversity of Dendrobium hancockii Rolfe (Orchidaceae). Frontiers in Plant Science. 15. 1469267–1469267. 3 indexed citations
4.
Zhang, Rui, Yuting He, Rui Zhu, et al.. (2024). Enhancement of bio-jet fuel production from corncob by iron ion-catalyzed hydrogen peroxide pretreatment. Fuel. 373. 132347–132347. 6 indexed citations
5.
Chen, Junxia, Yongxin Zhang, Yu Jiang, et al.. (2024). Evaluation of the flavor profiles of Yanbian-style sauced beef from differently treated raw beef samples. Food Chemistry X. 22. 101505–101505. 9 indexed citations
6.
Yan, Xuemin, et al.. (2024). Hydrophobic interface induced by Fluorine doping enhances vanadium oxide cathodes for aqueous Zinc-Ion batteries. Chemical Engineering Journal. 503. 158472–158472. 8 indexed citations
7.
Yang, Siqi, Jiao Zhu, Jiao Zhang, et al.. (2023). RNA-Guided DNA Transposition in Corynebacterium glutamicum and Bacillus subtilis. ACS Synthetic Biology. 12(7). 2198–2202. 8 indexed citations
8.
Xu, Jiaqi, Junjie Yang, Yu Jiang, et al.. (2021). A novel global transcriptional perturbation target identified by forward genetics reprograms <italic>Vibrio natriegens</italic> for improving recombinant protein production. Acta Biochimica et Biophysica Sinica. 53(9). 1124–1133. 2 indexed citations
9.
Zhu, Li, Jieze Zhang, Jia-Wei Yang, Yu Jiang, & Sheng Yang. (2021). Strategies for optimizing acetyl-CoA formation from glucose in bacteria. Trends in biotechnology. 40(2). 149–165. 33 indexed citations
10.
Wen, Zhiqiang, Rodrigo Ledesma‐Amaro, Minrui Lu, et al.. (2020). Combined evolutionary engineering and genetic manipulation improve low pH tolerance and butanol production in a synthetic microbial Clostridium community. Biotechnology and Bioengineering. 117(7). 2008–2022. 33 indexed citations
11.
Li, Yimin, et al.. (2020). Production of bioethanol and xylitol from non-detoxified corn cob via a two-stage fermentation strategy. Bioresource Technology. 310. 123427–123427. 61 indexed citations
12.
Zhang, Jiao, Fayu Yang, Yunpeng Yang, Yu Jiang, & Yi‐Xin Huo. (2019). Optimizing a CRISPR-Cpf1-based genome engineering system for Corynebacterium glutamicum. Microbial Cell Factories. 18(1). 60–60. 35 indexed citations
13.
Jiang, Yu, et al.. (2016). Enzymatic Production of Glutathione by Bifunctional γ-Glutamylcysteine Synthetase/Glutathione Synthetase Coupled with In Vitro Acetate Kinase-Based ATP Generation. Applied Biochemistry and Biotechnology. 180(7). 1446–1455. 19 indexed citations
14.
Jiang, Yu, et al.. (2015). Multigene Editing in the Escherichia coli Genome via the CRISPR-Cas9 System. Applied and Environmental Microbiology. 81(7). 2506–2514. 994 indexed citations breakdown →
15.
Xu, Gang, et al.. (2015). A recyclable biotransformation system for l-2-aminobutyric acid production based on immobilized enzyme technology. Biotechnology Letters. 38(1). 123–129. 11 indexed citations
16.
Jiang, Yu, Jinle Liu, Weihong Jiang, Yunliu Yang, & Sheng Yang. (2014). Current status and prospects of industrial bio-production of n-butanol in China. Biotechnology Advances. 33(7). 1493–1501. 123 indexed citations
19.
Gu, Yang, Yu Jiang, Hui Wu, et al.. (2011). Economical challenges to microbial producers of butanol: Feedstock, butanol ratio and titer. Biotechnology Journal. 6(11). 1348–1357. 96 indexed citations
20.
Jiang, Yu, Chongmao Xu, Feng Dong, et al.. (2009). Disruption of the acetoacetate decarboxylase gene in solvent-producing Clostridium acetobutylicum increases the butanol ratio. Metabolic Engineering. 11(4-5). 284–291. 185 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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