Yu Sheng

3.4k total citations · 1 hit paper
37 papers, 678 citations indexed

About

Yu Sheng is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yu Sheng has authored 37 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Yu Sheng's work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (6 papers) and Plant Reproductive Biology (5 papers). Yu Sheng is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (6 papers) and Plant Reproductive Biology (5 papers). Yu Sheng collaborates with scholars based in China, South Korea and Hong Kong. Yu Sheng's co-authors include Silin Zhong, Peitao Lü, Biyan Zhou, Jenny Xiang, Zhangjun Fei, James J. Giovannoni, Nenghui Ye, Yu Pan, João Paulo Fabi and Jason Argyris and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and Scientific Reports.

In The Last Decade

Yu Sheng

34 papers receiving 662 citations

Hit Papers

Genome encode analyses reveal the basis of convergent evo... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome encode analyses reveal the basis of convergent evolution of fleshy fruit ripening
    2018 289 citations Peitao Lü, Yu Sheng et al. Nature Plants profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Sheng China 12 401 399 117 44 32 37 678
Amanda M. Hulse‐Kemp United States 17 616 1.5× 271 0.7× 144 1.2× 20 0.5× 40 1.3× 50 796
Haoxuan Li China 15 483 1.2× 252 0.6× 57 0.5× 6 0.1× 17 0.5× 35 642
Anne‐Laure Chateigner‐Boutin France 19 740 1.8× 1.5k 3.9× 56 0.5× 4 0.1× 36 1.1× 28 1.8k
Rachel Gollop Israel 9 248 0.6× 310 0.8× 25 0.2× 12 0.3× 24 0.8× 10 494
Bassam Al-Safadi Syria 12 326 0.8× 245 0.6× 36 0.3× 31 0.7× 17 0.5× 29 439
Pawan Shukla India 15 388 1.0× 381 1.0× 30 0.3× 18 0.4× 35 1.1× 32 619
Dan Hou China 14 347 0.9× 279 0.7× 35 0.3× 11 0.3× 59 1.8× 34 466
Shengcheng Zhang China 10 408 1.0× 409 1.0× 150 1.3× 3 0.1× 61 1.9× 18 655

Countries citing papers authored by Yu Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Sheng. A scholar is included among the top collaborators of Yu Sheng 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 Sheng. Yu Sheng 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.
Sheng, Yu, et al.. (2025). Mismatch-guided DNA competitive converter enables expanded detection window for discriminating single nucleotide polymorphisms. Chemical Engineering Journal. 512. 162549–162549. 2 indexed citations
2.
Yu, Yingzhi, Kecheng Long, Shaozhen Huang, et al.. (2025). Bilayer Artificial Solid Electrolyte Interphase with 75 GPa Young's Modulus Enable High Energy Density Lithium Metal Pouch Cells. Advanced Functional Materials. 35(24). 15 indexed citations
3.
Wang, Yunyun, Yu Sheng, Mohamed Hamdy Amar, et al.. (2025). The peach NAC transcription factor SMB-LIKE1 (PpeSML1) integrates hormonal signaling to trigger senescence and chlorophyll degradation during fruit abortion. International Journal of Biological Macromolecules. 323(Pt 1). 147178–147178.
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Zhou, Hui, Xiao Wang, Mohamed Hamdy Amar, et al.. (2024). Abscisic acid induces PpeKIL1 to terminate fruit growth and promote fruit abortion in peach (Prunus persica). Plant Physiology and Biochemistry. 212. 108761–108761. 1 indexed citations
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Zhou, Hui, Fei Ren, Xiao Wang, et al.. (2022). Genome-wide identification and characterization of long noncoding RNAs during peach (Prunus persica) fruit development and ripening. Scientific Reports. 12(1). 11044–11044. 19 indexed citations
9.
Sheng, Yu, Hong Yu, Haifa Pan, et al.. (2022). Genome-Wide Analysis of the Gene Structure, Expression and Protein Interactions of the Peach (Prunus persica) TIFY Gene Family. Frontiers in Plant Science. 13. 792802–792802. 19 indexed citations
10.
Sheng, Yu, Zhaodong Hao, Ye Peng, et al.. (2021). Morphological, phenological, and transcriptional analyses provide insight into the diverse flowering traits of a mutant of the relic woody plant Liriodendron chinense. Horticulture Research. 8(1). 174–174. 20 indexed citations
11.
Long, Xiaofei, Siqin Liu, Zhaodong Hao, et al.. (2019). Genetic Diversity and Differentiation of Relict Plant Liriodendron Populations Based on 29 Novel EST-SSR Markers. Forests. 10(4). 334–334. 12 indexed citations
12.
Sheng, Yu, et al.. (2019). Polymorphic analysis of peptide binding domain of major histocompatibility complex class I in domestic ducks. Polish Journal of Veterinary Sciences. 22(2). 415–422. 1 indexed citations
13.
Lü, Peitao, Yu Sheng, Ning Zhu, et al.. (2018). Genome encode analyses reveal the basis of convergent evolution of fleshy fruit ripening. Nature Plants. 4(10). 784–791. 289 indexed citations breakdown →
14.
Chen, Yun‐Ru, Yu Sheng, & Silin Zhong. (2017). Profiling DNA Methylation Using Bisulfite Sequencing (BS-Seq). Methods in molecular biology. 1675. 31–43. 14 indexed citations
15.
Pan, Haifa, et al.. (2016). Transcriptome analysis of peach (Prunus persica L. Batsch) during the late stage of fruit ripening. Genetics and Molecular Research. 15(4). 9 indexed citations
16.
Yang, Zhen, et al.. (2016). The antisense expression of AhPEPC1 increases seed oil production in peanuts (Arachis hypogaea L.). Grasas y Aceites. 67(4). e164–e164. 5 indexed citations
17.
Chen, Jinhui, Zhaodong Hao, Haibin Xu, et al.. (2015). The complete chloroplast genome sequence of the relict woody plant Metasequoia glyptostroboides Hu et Cheng. Frontiers in Plant Science. 6. 447–447. 80 indexed citations
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Kim, Jiyoung, Sae‐Yong Hong, Youngmi Lee, et al.. (2008). In vitro assessment of clastogenicity of mobile‐phone radiation (835 MHz) using the alkaline comet assay and chromosomal aberration test. Environmental Toxicology. 23(3). 319–327. 33 indexed citations
20.
Sheng, Yu, et al.. (2007). Identification of Differentially Expressed Genes in Distinct Skeletal Muscles in Cattle using cDNA Microarray. Animal Biotechnology. 18(4). 275–285. 9 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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