Yu Song

6.8k total citations · 4 hit papers
138 papers, 5.2k citations indexed

About

Yu Song is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Yu Song has authored 138 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Pathology and Forensic Medicine, 45 papers in Molecular Biology and 38 papers in Surgery. Recurrent topics in Yu Song's work include Spine and Intervertebral Disc Pathology (48 papers), Musculoskeletal pain and rehabilitation (16 papers) and Silk-based biomaterials and applications (13 papers). Yu Song is often cited by papers focused on Spine and Intervertebral Disc Pathology (48 papers), Musculoskeletal pain and rehabilitation (16 papers) and Silk-based biomaterials and applications (13 papers). Yu Song collaborates with scholars based in China, United States and Australia. Yu Song's co-authors include Yang Cao, Yukun Zhang, Rongjin Luo, Xinghuo Wu, Gaocai Li, Zhiwei Liao, Shuai Li, Kun Wang, Wenbin Hua and Kangcheng Zhao and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yu Song

129 papers receiving 5.2k citations

Hit Papers

Exosomes from mesenchymal stem cells modulate endoplasmic... 2019 2026 2021 2023 2019 2022 2021 2022 100 200 300

Peers

Yu Song
Comparison fields: 5 of 131
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 1.8k
  • Pharmacology 918
  • Surgery 780
  • Biomedical Engineering 756
Replace Zengwu Shao with:
Zengwu Shao China
Zhuojing Luo China
Chenggui Wang China
Xuenong Zou China
Zhen Li China
Shiqing Feng China
Weiyang Gao China
James Melrose Australia
Leena Ala‐Kokko Finland
Zengwu Shao China View profile →
Citations per field, relative to Yu Song
Yu Song · 1×
Citations per year, relative to Yu Song
Yu Song · 1×

Countries citing papers authored by Yu Song

Since Specialization
Citations

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

Fields of papers citing papers by Yu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Song. A scholar is included among the top collaborators of Yu 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 Yu Song. Yu 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
# Work Indexed citations
1 0
2 0
3 21
4 23
5 14
6 4
7 23
8
Cytosolic escape of mitochondrial DNA triggers cGAS-STING-NLRP3 axis-dependent nucleus pulposus cell pyroptosis breakdown →
226
9 32
10 16
11 107
12 83
13 26
14 15
15 162
16 58
17 51
18 1
19 78
20 27

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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