Peng Shu

836 total citations · 2 hit papers
17 papers, 570 citations indexed

About

Peng Shu is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Peng Shu has authored 17 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Plant Science and 2 papers in Infectious Diseases. Recurrent topics in Peng Shu's work include Plant Gene Expression Analysis (5 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Molecular Biology Research (4 papers). Peng Shu is often cited by papers focused on Plant Gene Expression Analysis (5 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Molecular Biology Research (4 papers). Peng Shu collaborates with scholars based in China, United Kingdom and France. Peng Shu's co-authors include Mingchun Liu, Mondher Bouzayen, Julien Pirrello, Don Grierson, Heng Deng, Ruochen Wang, Zhengguo Li, Yang Zhang, Yue Xie and Mingzhang Li and has published in prestigious journals such as Nature Communications, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Peng Shu

15 papers receiving 561 citations

Hit Papers

Integrative analyses of m... 2021 2026 2022 2024 2021 2022 50 100 150
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. Integrative analyses of metabolome and genome‐wide transcriptome reveal the regulatory network governing flavor formation in kiwifruit (Actinidia chinensis)
    2021 186 citations Ruochen Wang, Peng Shu et al. New Phytologist profile →
  2. SlERF.F12 modulates the transition to ripening in tomato fruit by recruiting the co-repressor TOPLESS and histone deacetylases to repress key ripening genes
    2022 136 citations Heng Deng, Yao Chen et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Shu China 10 425 357 59 49 23 17 570
Macarena Farcuh United States 11 400 0.9× 151 0.4× 70 1.2× 65 1.3× 19 0.8× 21 483
Xiaojuan Zong China 14 623 1.5× 461 1.3× 69 1.2× 21 0.4× 13 0.6× 39 745
Tiyu Ding China 8 273 0.6× 245 0.7× 66 1.1× 30 0.6× 13 0.6× 13 386
Andrey R. Suprun Russia 16 389 0.9× 294 0.8× 24 0.4× 38 0.8× 14 0.6× 51 542
Weidi He China 15 534 1.3× 426 1.2× 41 0.7× 42 0.9× 17 0.7× 28 701
Christopher R. Barbey United States 10 300 0.7× 151 0.4× 61 1.0× 50 1.0× 26 1.1× 12 382
Guillermo Raúl Pratta Argentina 12 416 1.0× 270 0.8× 27 0.5× 40 0.8× 16 0.7× 67 490

Countries citing papers authored by Peng Shu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Shu

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

All Works

17 of 17 papers shown
1.
Su, Dan, Mengbo Wu, Hsihua Wang, et al.. (2025). Bi‐functional transcription factor SlbHLH95 regulates fruits flavonoid metabolism and grey mould resistance in tomato. Plant Biotechnology Journal. 23(6). 2083–2094. 8 indexed citations
2.
3.
Su, Dan, Peng Shu, Yuan Chen, et al.. (2024). Dynamic m6A mRNA methylation reveals the involvement of AcALKBH10 in ripening‐related quality regulation in kiwifruit. New Phytologist. 243(6). 2265–2278. 9 indexed citations
4.
Deng, Heng, Xin Xu, Xiaofei Du, et al.. (2024). Ethylene‐MPK8‐ERF.C1‐PR module confers resistance against Botrytis cinerea in tomato fruit without compromising ripening. New Phytologist. 242(2). 592–609. 22 indexed citations
5.
Shu, Peng, Heng Deng, Yi Wu, et al.. (2024). A distal enhancer guides the negative selection of toxic glycoalkaloids during tomato domestication. Nature Communications. 15(1). 2894–2894. 11 indexed citations
6.
Gao, Yongfeng, Zihao Chen, Jihua Ding, et al.. (2024). ELONGATED HYPOCOTYL 5a modulates FLOWERING LOCUS T2 and gibberellin levels to control dormancy and bud break in poplar. The Plant Cell. 36(5). 1963–1984. 13 indexed citations
7.
8.
Shu, Peng, Xiaofei Du, Mengbo Wu, et al.. (2024). Bifunctional transcription factors SlERF.H5 and H7 activate cell wall and repress gibberellin biosynthesis genes in tomato via a conserved motif. Developmental Cell. 59(10). 1345–1359.e6. 29 indexed citations
9.
Shu, Peng, Zixin Zhang, Yi Wu, et al.. (2023). A comprehensive metabolic map reveals major quality regulations in red‐flesh kiwifruit (Actinidia chinensis). New Phytologist. 238(5). 2064–2079. 59 indexed citations
10.
Shu, Peng, et al.. (2023). β-1,3-GLUCANASE10 regulates tomato development and disease resistance by modulating callose deposition. PLANT PHYSIOLOGY. 192(4). 2785–2802. 17 indexed citations
11.
Deng, Heng, Yao Chen, Ziyu Liu, et al.. (2022). SlERF.F12 modulates the transition to ripening in tomato fruit by recruiting the co-repressor TOPLESS and histone deacetylases to repress key ripening genes. The Plant Cell. 34(4). 1250–1272. 136 indexed citations breakdown →
12.
Zhang, Jing, Kui Du, Yue Xie, et al.. (2022). Integration of transcriptomic and metabolomic data reveals new tetraploid kiwifruit hybrids with enhanced nutrients. LWT. 170. 114012–114012. 4 indexed citations
13.
Chen, Yuan, Peng Shu, Ruochen Wang, et al.. (2021). Ethylene response factor AcERF91 affects ascorbate metabolism via regulation of GDP-galactose phosphorylase encoding gene (AcGGP3) in kiwifruit. Plant Science. 313. 111063–111063. 24 indexed citations
14.
Wang, Ruochen, Peng Shu, Junlin Zhang, et al.. (2021). Integrative analyses of metabolome and genome‐wide transcriptome reveal the regulatory network governing flavor formation in kiwifruit (Actinidia chinensis). New Phytologist. 233(1). 373–389. 186 indexed citations breakdown →
15.
Liang, Qi, Heng Deng, Yuxiang Li, et al.. (2020). Like Heterochromatin Protein 1b represses fruit ripening via regulating the H3K27me3 levels in ripening‐related genes in tomato. New Phytologist. 227(2). 485–497. 37 indexed citations
16.
Sun, Qiang, Qiu-Min Zhao, Xiaoping An, et al.. (2016). Complete genome sequence of Menghai rhabdovirus, a novel mosquito-borne rhabdovirus from China. Archives of Virology. 162(4). 1103–1106. 8 indexed citations
17.
Zhang, Xianglilan, Yuyuan Li, Xiaodong Liu, et al.. (2015). Conserved termini and adjacent variable region of Twortlikevirus Staphylococcus phages. Virologica Sinica. 30(6). 433–440. 7 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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