Zhou Songyang

843 citations
11 papers · 638 indexed · h-index 7
Topics
Telomeres, Telomerase, and Senescence (4 papers)Cell death mechanisms and regulation (2 papers)CRISPR and Genetic Engineering (2 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Zhou Songyang

11 papers receiving 629 citations

Peers

Zhou Songyang
Comparison fields: 5 of 77
  • Molecular Biology 451
  • Physiology 210
  • Cell Biology 123
  • Cellular and Molecular Neuroscience 117
  • Oncology 92
Replace Izhar Livne‐Bar with:
Izhar Livne‐Bar Canada
Tim Dejaegere Belgium
Claudia Litterst United States
Dorthe Matenia Germany
Enric Poch Spain
Mikiro Nawa Japan
Andrés Norambuena United States
Neville Young United Kingdom
Taehwan Shin United States
Kannan Krishnamurthy United States
Zhou Songyang relative to Izhar Livne‐Bar Canada Izhar Livne‐Bar's profile →
Citations per field
00.5×1.5×1.8×
Izhar Livne‐Bar · 1×
Citations per year

Countries citing papers authored by Zhou Songyang

Since Specialization
Citations

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

Fields of papers citing papers by Zhou Songyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhou Songyang

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 1
3 46
4 4
5 26
6 6
7 198
8 101
9 115
10 91
11
Molecular interactions of the Src homology 2 domain protein Shb with phosphotyrosine residues, tyrosine kinase receptors and Src homology 3 domain proteins.
49

About Zhou Songyang

Zhou Songyang is a scholar working on Physiology, Cell Biology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 638 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Cell death mechanisms and regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (28 citations), Developmental Neuroscience (35 citations) and Physiology (210 citations). Zhou Songyang has collaborated with scholars based in United States, China and France. Frequent co-authors include Dan Liu, Yang Xiao-hong, Alexei F. Kisselev, Alfred L. Goldberg, Zilai Wang, Qinxi Guo, Li Yang, Baiping Wang, Hui Zheng and Lewis C. Cantley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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