Yaying Song

2.3k citations
50 papers · 1.7k indexed · 1 hit paper · h-index 23
Topics
Neuroinflammation and Neurodegeneration Mechanisms (17 papers)Intracranial Aneurysms: Treatment and Complications (11 papers)MicroRNA in disease regulation (8 papers)

In The Last Decade

Yaying Song

48 papers receiving 1.7k citations

Hit Papers

M2 microglia-derived exosomes protect the mouse brain fro...20192026202120232019100200300

Peers

Yaying Song
Comparison fields: 5 of 96
  • Molecular Biology 1.0k
  • Neurology 585
  • Cancer Research 522
  • Neurology 301
  • Immunology 196
Replace Bing–Qiao Zhao with:
Bing–Qiao Zhao China
Zhaoli Han China
Toshihisa Sumii United States
Xintong Ge China
Takeo Abumiya Japan
Masato Kanazawa Japan
Qianfa Long China
María Gutiérrez‐Fernández Spain
Ping Lei China
Yaying Song relative to Bing–Qiao Zhao China Bing–Qiao Zhao's profile →
Citations per field
00.5×1.7×
Bing–Qiao Zhao · 1×
Citations per year

Countries citing papers authored by Yaying Song

Since Specialization
Citations

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

Fields of papers citing papers by Yaying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yaying Song. A scholar is included among the top collaborators of Yaying 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 Yaying Song. Yaying 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 0
3 1
4 1
5 2
6 35
7 1
8 2
9 26
10 24
11 63
12 21
13 43
14
M2 microglia-derived exosomes protect the mouse brain from ischemia-reperfusion injury via exosomal miR-124breakdown →
379
15 29
16 92
17 12
18 42
19 43
20 170

About Yaying Song

Yaying Song is a scholar working on Neurology, Developmental Neuroscience and Neurology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Intracranial Aneurysms: Treatment and Complications (11 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Neurology (585 citations), Cancer Research (522 citations) and Developmental Neuroscience (91 citations). Yaying Song has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Guo‐Yuan Yang, Yaohui Tang, Zhijun Zhang, Meijie Qu, Tingting He, Zongwei Li, Yongting Wang, Wanlu Li, Jiaji Pan and Lu Jiang. Their work appears in journals such as Stroke, Annals of Neurology and Biochemical and Biophysical Research Communications.

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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