Peizhe Song

1.4k citations
15 papers · 802 indexed · 1 hit paper · h-index 10
Topics
RNA modifications and cancer (14 papers)RNA Research and Splicing (8 papers)HVDC Systems and Fault Protection (6 papers)
Partner nations
ChinaDenmarkGermany

In The Last Decade

Peizhe Song

14 papers receiving 799 citations

Hit Papers

The m 6 A Reader ECT2 Controls Trichome Morphology by Aff...2018202620202023201850100150200250

Peers

Peizhe Song
Comparison fields: 5 of 40
  • Molecular Biology 733
  • Electrical and Electronic Engineering 316
  • Plant Science 241
  • Cancer Research 135
  • Oncology 43
Replace Lian-Huan Wei with:
Lian-Huan Wei China
Hong‐Chao Duan China
Laura Arribas‐Hernández Denmark
James D. Button United Kingdom
Matthew T Parker United Kingdom
Katarzyna Mackinnon United Kingdom
Dominik Theler Switzerland
Nathan Archer United Kingdom
Mireya Martínez‐Pérez Spain
Chongsheng He China
Peizhe Song relative to Lian-Huan Wei China Lian-Huan Wei's profile →
Citations per field
00.5×1.5×
Lian-Huan Wei · 1×
Citations per year

Countries citing papers authored by Peizhe Song

Since Specialization
Citations

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

Fields of papers citing papers by Peizhe Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peizhe Song

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 3
3 29
4 1
5 17
6 6
7 10
8 7
9 43
10 50
11 35
12 90
13 134
14 85
15
The m 6 A Reader ECT2 Controls Trichome Morphology by Affecting mRNA Stability in Arabidopsisbreakdown →
292

About Peizhe Song

Peizhe Song is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering, having authored 15 papers that have together received 802 indexed citations. Recurring topics across this work include RNA modifications and cancer (14 papers), RNA Research and Splicing (8 papers) and HVDC Systems and Fault Protection (6 papers). The work is most often cited by research in Molecular Biology (733 citations), Cancer Research (135 citations) and Plant Science (241 citations). Peizhe Song has collaborated with scholars based in China, Denmark and Germany. Frequent co-authors include Guifang Jia, Junbo Yang, Qiong Yu, Zhihe Cai, Qiang Lu, Chunling Wang, Lian-Huan Wei, Ye Wang, Hong‐Chao Duan and Xiao Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

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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