Yu Shen

5.9k total citations
105 papers, 4.6k citations indexed

About

Yu Shen is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Yu Shen has authored 105 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 48 papers in Biomedical Engineering and 28 papers in Plant Science. Recurrent topics in Yu Shen's work include Biofuel production and bioconversion (47 papers), Microbial Metabolic Engineering and Bioproduction (45 papers) and Fungal and yeast genetics research (36 papers). Yu Shen is often cited by papers focused on Biofuel production and bioconversion (47 papers), Microbial Metabolic Engineering and Bioproduction (45 papers) and Fungal and yeast genetics research (36 papers). Yu Shen collaborates with scholars based in China, United States and South Korea. Yu Shen's co-authors include Jin Hou, Xiaoming Bao, Michael D. Schaller, Xinhe Bao, Rajnish Khanna, Peter H. Quail, Colleen M. Marion, Weifeng Liu, Bingyin Peng and Chengqiang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yu Shen

101 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Shen China 38 3.5k 1.6k 1.5k 557 358 105 4.6k
Xiaobei Zhan China 31 1.8k 0.5× 903 0.6× 454 0.3× 379 0.7× 48 0.1× 132 3.5k
Danilo Porro Italy 39 4.2k 1.2× 600 0.4× 1.8k 1.3× 582 1.0× 23 0.1× 179 5.6k
Ying Lin China 32 2.4k 0.7× 566 0.4× 746 0.5× 533 1.0× 21 0.1× 205 3.6k
Chantal Tardif France 36 2.0k 0.6× 812 0.5× 1.9k 1.3× 1.3k 2.4× 23 0.1× 64 3.7k
N. P. Ghildyal United States 30 1.1k 0.3× 263 0.2× 676 0.5× 532 1.0× 589 1.6× 58 3.0k
Mark J. Guiltinan United States 42 3.0k 0.8× 4.1k 2.6× 440 0.3× 483 0.9× 21 0.1× 116 5.6k
Ariel Orellana Chile 41 2.2k 0.6× 2.6k 1.7× 208 0.1× 170 0.3× 28 0.1× 90 4.0k
Pau Ferrer Spain 41 3.5k 1.0× 332 0.2× 1.1k 0.8× 543 1.0× 11 0.0× 101 4.2k
Eckhard Boles Germany 51 7.2k 2.0× 2.0k 1.3× 3.5k 2.4× 527 0.9× 12 0.0× 141 8.7k
Martin Rühl Germany 23 1.1k 0.3× 422 0.3× 255 0.2× 256 0.5× 56 0.2× 79 2.0k

Countries citing papers authored by Yu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shen. A scholar is included among the top collaborators of Yu Shen 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 Shen. Yu Shen 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.
2.
Wu, Meiling, et al.. (2023). Engineering of Saccharomyces cerevisiae for co-fermentation of glucose and xylose: Current state and perspectives. SHILAP Revista de lepidopterología. 3(3). 100084–100084. 28 indexed citations
3.
4.
Wei, Tiandi, et al.. (2022). Both levoglucosan kinase activity and transport capacity limit the utilization of levoglucosan in Saccharomyces cerevisiae. SHILAP Revista de lepidopterología. 15(1). 94–94. 1 indexed citations
5.
Du, Han, et al.. (2021). Design and engineering of whole‐cell biocatalyst for efficient synthesis of ( R )‐citronellal. Microbial Biotechnology. 15(5). 1486–1498. 17 indexed citations
6.
Guo, Wei, et al.. (2020). Rewiring central carbon metabolism for tyrosol and salidroside production in Saccharomyces cerevisiae. Biotechnology and Bioengineering. 117(8). 2410–2419. 45 indexed citations
7.
Tang, Hongting, Junling Wang, Yu Shen, et al.. (2018). Efficient yeast surface-display of novel complex synthetic cellulosomes. Microbial Cell Factories. 17(1). 122–122. 38 indexed citations
8.
Zhao, Jianzhi, Chen Li, Yan Zhang, et al.. (2017). Dynamic control of ERG20 expression combined with minimized endogenous downstream metabolism contributes to the improvement of geraniol production in Saccharomyces cerevisiae. Microbial Cell Factories. 16(1). 17–17. 97 indexed citations
9.
Chen, Lei, Mingpeng Wang, Jin Hou, et al.. (2016). HAL2 overexpression induces iron acquisition in bdf1Δ cells and enhances their salt resistance. Current Genetics. 63(2). 229–239. 2 indexed citations
10.
Wang, Xinning, Zhenzhen Liang, Jin Hou, Xiaoming Bao, & Yu Shen. (2016). Identification and functional evaluation of the reductases and dehydrogenases from Saccharomyces cerevisiae involved in vanillin resistance. BMC Biotechnology. 16(1). 31–31. 48 indexed citations
11.
Li, Hongxing, Yu Shen, Meiling Wu, et al.. (2016). Engineering a wild-type diploid Saccharomyces cerevisiae strain for second-generation bioethanol production. Bioresources and Bioprocessing. 3(1). 51–51. 66 indexed citations
12.
Tang, Hongting, Junling Wang, Meihui Song, et al.. (2016). N-hypermannose glycosylation disruption enhances recombinant protein production by regulating secretory pathway and cell wall integrity in Saccharomyces cerevisiae. Scientific Reports. 6(1). 25654–25654. 55 indexed citations
13.
Wang, Chengqiang, et al.. (2013). Improvement of L-Arabinose Fermentation by Modifying the Metabolic Pathway and Transport inSaccharomyces cerevisiae. BioMed Research International. 2013. 1–9. 29 indexed citations
14.
Wang, Chengqiang, et al.. (2013). An assay for functional xylose transporters in Saccharomyces cerevisiae. Analytical Biochemistry. 442(2). 241–248. 16 indexed citations
15.
Peng, Bingyin, Yu Shen, Xiaowei Li, et al.. (2011). Improvement of xylose fermentation in respiratory-deficient xylose-fermenting Saccharomyces cerevisiae. Metabolic Engineering. 14(1). 9–18. 87 indexed citations
16.
Khanna, Rajnish, Yu Shen, Colleen M. Marion, et al.. (2007). The Basic Helix-Loop-Helix Transcription Factor PIF5 Acts on Ethylene Biosynthesis and Phytochrome Signaling by Distinct Mechanisms. The Plant Cell. 19(12). 3915–3929. 146 indexed citations
17.
Shen, Yu, et al.. (2007). Phytochrome Induces Rapid PIF5 Phosphorylation and Degradation in Response to Red-Light Activation. PLANT PHYSIOLOGY. 145(3). 1043–1051. 221 indexed citations
18.
Khanna, Rajnish, Yu Shen, Gabriela Toledo‐Ortiz, et al.. (2006). Functional Profiling Reveals That Only a Small Number of Phytochrome-Regulated Early-Response Genes in Arabidopsis Are Necessary for Optimal Deetiolation. The Plant Cell. 18(9). 2157–2171. 92 indexed citations
19.
Kim, Jeong‐Il, Yu Shen, Yun‐Jeong Han, et al.. (2004). Phytochrome Phosphorylation Modulates Light Signaling by Influencing the Protein–Protein Interaction[W]. The Plant Cell. 16(10). 2629–2640. 88 indexed citations
20.
Im, Young Jun, Jeong‐Il Kim, Yu Shen, et al.. (2004). Structural Analysis of Arabidopsis thaliana Nucleoside Diphosphate Kinase-2 for Phytochrome-mediated Light Signaling. Journal of Molecular Biology. 343(3). 659–670. 24 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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