Chun‐Peng Song

18.6k total citations · 9 hit papers
171 papers, 13.2k citations indexed

About

Chun‐Peng Song is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Chun‐Peng Song has authored 171 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Plant Science, 88 papers in Molecular Biology and 7 papers in Biomaterials. Recurrent topics in Chun‐Peng Song's work include Plant Stress Responses and Tolerance (81 papers), Plant Molecular Biology Research (75 papers) and Plant nutrient uptake and metabolism (40 papers). Chun‐Peng Song is often cited by papers focused on Plant Stress Responses and Tolerance (81 papers), Plant Molecular Biology Research (75 papers) and Plant nutrient uptake and metabolism (40 papers). Chun‐Peng Song collaborates with scholars based in China, United States and Australia. Chun‐Peng Song's co-authors include Jian‐Kang Zhu, Pengcheng Wang, Yang Zhao, Zhizhong Gong, Yan Guo, Yuchen Miao, Ray A. Bressan, Sergey Shabala, Guojun Li and Chunzhao Zhao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chun‐Peng Song

166 papers receiving 13.0k citations

Hit Papers

Abscisic acid dynamics, s... 2001 2026 2009 2017 2019 2020 2001 2018 2021 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chun‐Peng Song 11.3k 6.2k 309 307 297 171 13.2k
Yan Guo 13.7k 1.2× 7.9k 1.3× 289 0.9× 465 1.5× 285 1.0× 213 16.2k
Gad Miller 9.9k 0.9× 5.5k 0.9× 246 0.8× 178 0.6× 403 1.4× 60 12.3k
Jianhua Zhu 12.0k 1.1× 7.4k 1.2× 264 0.9× 388 1.3× 273 0.9× 73 13.9k
Liming Xiong 10.8k 1.0× 6.7k 1.1× 209 0.7× 290 0.9× 257 0.9× 84 12.6k
Pedro L. Rodrı́guez 12.6k 1.1× 6.3k 1.0× 277 0.9× 281 0.9× 388 1.3× 130 14.7k
Jaakko Kangasjärvi 12.0k 1.1× 5.9k 0.9× 252 0.8× 152 0.5× 416 1.4× 118 13.6k
Zhizhong Gong 14.2k 1.3× 9.4k 1.5× 253 0.8× 536 1.7× 322 1.1× 153 16.9k
Kai Shi 11.3k 1.0× 4.9k 0.8× 418 1.4× 188 0.6× 441 1.5× 227 13.0k
José M. Pardo 11.9k 1.1× 5.4k 0.9× 187 0.6× 242 0.8× 216 0.7× 119 13.9k
Atle M. Bones 6.0k 0.5× 6.1k 1.0× 294 1.0× 296 1.0× 447 1.5× 154 10.0k

Countries citing papers authored by Chun‐Peng Song

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Peng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Peng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Peng Song. A scholar is included among the top collaborators of Chun‐Peng Song 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 Chun‐Peng Song. Chun‐Peng Song 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
2.
Yang, Xiaohui, Cheng-Long Zhou, Minghui Wu, et al.. (2024). RotatedStomataNet: a deep rotated object detection network for directional stomata phenotype analysis. Plant Cell Reports. 43(5). 2 indexed citations
3.
Wu, Wenqiang, et al.. (2024). Recruitment of HAB1 and SnRK2.2 by C2‐domain protein CAR1 in plasma membrane ABA signaling. The Plant Journal. 119(1). 237–251. 2 indexed citations
4.
Li, Zheng, Yingying Yang, Can Li, et al.. (2024). Genetic regulation of wheat plant architecture and future prospects for its improvement. 2. 100048–100048. 4 indexed citations
6.
Hu, Zhubing & Chun‐Peng Song. (2023). Inaugural Editorial: New Crops. 1. 100006–100006. 1 indexed citations
7.
Long, Lu, et al.. (2023). Single‐cell transcriptome atlas identified novel regulators for pigment gland morphogenesis in cotton. Plant Biotechnology Journal. 21(6). 1100–1102. 24 indexed citations
8.
Liu, Wen‐Cheng, et al.. (2023). Reactive oxygen species: Multidimensional regulators of plant adaptation to abiotic stress and development. Journal of Integrative Plant Biology. 66(3). 330–367. 201 indexed citations breakdown →
9.
Hua, Deping, Zhifang Wang, Chun‐Peng Song, et al.. (2022). Phosphorylation of the plasma membrane H+-ATPase AHA2 by BAK1 is required for ABA-induced stomatal closure in Arabidopsis. The Plant Cell. 34(7). 2708–2729. 71 indexed citations
10.
Kong, Lingyao, Yinhua Zhu, Xuexue Chen, et al.. (2022). BAK1 plays contrasting roles in regulating abscisic acid‐induced stomatal closure and abscisic acid‐inhibited primary root growth in Arabidopsis. Journal of Integrative Plant Biology. 64(6). 1264–1280. 28 indexed citations
11.
Lin, Zhen, Yuan Li, Yubei Wang, et al.. (2021). Initiation and amplification of SnRK2 activation in abscisic acid signaling. Nature Communications. 12(1). 2456–2456. 167 indexed citations breakdown →
12.
Vílchez, Juan Ignacio, Yu Yang, Danxia He, et al.. (2020). DNA demethylases are required for myo-inositol-mediated mutualism between plants and beneficial rhizobacteria. Nature Plants. 6(8). 983–995. 66 indexed citations
13.
Zhu, Yujuan, Xiaoying Hu, Ying Duan, et al.. (2020). The Arabidopsis Nodulin Homeobox Factor AtNDX Interacts with AtRING1A/B and Negatively Regulates Abscisic Acid Signaling. The Plant Cell. 32(3). 703–721. 36 indexed citations
14.
Yang, Yongqing, Yujiao Wu, Liang Ma, et al.. (2019). The Ca2+ Sensor SCaBP3/CBL7 Modulates Plasma Membrane H+-ATPase Activity and Promotes Alkali Tolerance in Arabidopsis. The Plant Cell. 31(6). 1367–1384. 135 indexed citations
15.
Qi, Junsheng, Chun‐Peng Song, Baoshan Wang, et al.. (2018). Reactive oxygen species signaling and stomatal movement in plant responses to drought stress and pathogen attack. Journal of Integrative Plant Biology. 60(9). 805–826. 500 indexed citations breakdown →
16.
Ding, Yanglin, Yiting Shi, Junping Gao, et al.. (2018). EGR 2 phosphatase regulates OST 1 kinase activity and freezing tolerance in Arabidopsis. The EMBO Journal. 38(1). 118 indexed citations
17.
Song, Yuwei, Yuchen Miao, & Chun‐Peng Song. (2013). Behind the scenes: the roles of reactive oxygen species in guard cells. New Phytologist. 201(4). 1121–1140. 200 indexed citations
18.
Wang, Pengcheng, Yanyan Du, Yuan Li, Dongtao Ren, & Chun‐Peng Song. (2010). Hydrogen Peroxide–Mediated Activation of MAP Kinase 6 Modulates Nitric Oxide Biosynthesis and Signal Transduction in Arabidopsis  . The Plant Cell. 22(9). 2981–2998. 247 indexed citations
19.
Miao, Yuchen, Dong Lv, Pengcheng Wang, et al.. (2006). An Arabidopsis Glutathione Peroxidase Functions as Both a Redox Transducer and a Scavenger in Abscisic Acid and Drought Stress Responses. The Plant Cell. 18(10). 2749–2766. 426 indexed citations
20.
Song, Chun‐Peng, Yan Guo, Quan‐Sheng Qiu, et al.. (2004). A probable Na + (K + )/H + exchanger on the chloroplast envelope functions in pH homeostasis and chloroplast development in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 101(27). 10211–10216. 96 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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