Chun‐Peng Song

18.6k citations
171 papers · 13.2k indexed · 9 hit papers · h-index 58
Topics
Plant Stress Responses and Tolerance (81 papers)Plant Molecular Biology Research (75 papers)Plant nutrient uptake and metabolism (40 papers)

In The Last Decade

Chun‐Peng Song

166 papers receiving 13.0k citations

Hit Papers

Abscisic acid dynamics...2001202620092017201920202001201820212505007501000

Peers

Chun‐Peng Song
Comparison fields: 5 of 136
  • Plant Science 11.3k
  • Molecular Biology 6.2k
  • Agronomy and Crop Science 309
  • Genetics 307
  • Ecology, Evolution, Behavior and Systematics 297
Replace Yan Guo with:
Yan Guo China
Viswanathan Chinnusamy India
Jianhua Zhu United States
Jaakko Kangasjärvi Finland
Yasunari Fujita Japan
Liming Xiong United States
Dominique Van Der Straeten Belgium
Kai Shi China
José Antonio Hernández Spain
Bernd Mueller‐Roeber Germany
Chun‐Peng Song relative to Yan Guo China Yan Guo's profile →
Citations per field
00.5×1.5×
Yan Guo · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 2
4 4
5 24
6 11
7 1
8 13
9 71
10 28
11 43
12
Initiation and amplification of SnRK2 activation in abscisic acid signalingbreakdown →
167
13 143
14 135
15 118
16
Reactive oxygen species signaling and stomatal movement in plant responses to drought stress and pathogen attackbreakdown →
500
17 200
18 247
19 426
20 96

About Chun‐Peng Song

Chun‐Peng Song is a scholar working on Plant Science, Physiology and Molecular Biology, having authored 171 papers that have together received 13.2k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (81 papers), Plant Molecular Biology Research (75 papers) and Plant nutrient uptake and metabolism (40 papers). The work is most often cited by research in Plant Science (11.3k citations), Molecular Biology (6.2k citations) and Horticulture (46 citations). Chun‐Peng Song has collaborated with scholars based in China, United States and Australia. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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