Xiao‐Xing Song

426 citations
17 papers · 315 indexed · h-index 11
Topics
Spine and Intervertebral Disc Pathology (12 papers)Musculoskeletal pain and rehabilitation (6 papers)Spinal Fractures and Fixation Techniques (5 papers)
Partner nations
ChinaJapan

In The Last Decade

Xiao‐Xing Song

17 papers receiving 313 citations

Peers

Xiao‐Xing Song
Comparison fields: 5 of 60
  • Pathology and Forensic Medicine 203
  • Surgery 127
  • Pharmacology 110
  • Public Health, Environmental and Occupational Health 40
  • Molecular Biology 32
Replace Woo‐Keun Kwon with:
Woo‐Keun Kwon South Korea
José García‐Cosamalón Spain
Masashi Takaso Japan
Erkin Sönmez Türkiye
Hahck Soo Park South Korea
Ryan Derby United States
Jesper Blomquist Norway
Anthony Hammond United Kingdom
Gina Votta‐Velis United States
Mehrdad Taheri Iran
Xiao‐Xing Song relative to Woo‐Keun Kwon South Korea Woo‐Keun Kwon's profile →
Citations per field
00.5×2.7×
Woo‐Keun Kwon · 1×
Citations per year

Countries citing papers authored by Xiao‐Xing Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Xing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Xing Song

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 4
2 3
3 4
4 16
5 34
6 22
7 15
8 25
9 10
10 52
11 8
12 24
13 20
14 3
15 35
16 39
17 1

About Xiao‐Xing Song

Xiao‐Xing Song is a scholar working on Pathology and Forensic Medicine, Pharmacology and Toxicology, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (12 papers), Musculoskeletal pain and rehabilitation (6 papers) and Spinal Fractures and Fixation Techniques (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (203 citations), Pharmacology (110 citations) and Anesthesiology and Pain Medicine (18 citations). Xiao‐Xing Song has collaborated with scholars based in China and Japan. Frequent co-authors include Xin‐Feng Li, Buwei Yu, Lin‐Yu Jin, Lie Qian, Hongxing Shen, Zhen Guo, Zude Liu, Kun Wang, Yan Luo and Zhendong Lv. Their work appears in journals such as Oncotarget, Oxidative Medicine and Cellular Longevity and Computer Methods and Programs in Biomedicine.

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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