Song‐Shu Lin

1.1k citations
36 papers · 876 indexed · h-index 18
Topics
Mesenchymal stem cell research (8 papers)Spine and Intervertebral Disc Pathology (8 papers)Orthopedic Infections and Treatments (7 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Song‐Shu Lin

36 papers receiving 857 citations

Peers

Song‐Shu Lin
Comparison fields: 5 of 92
  • Surgery 294
  • Molecular Biology 182
  • Immunology 140
  • Radiology, Nuclear Medicine and Imaging 139
  • Biomedical Engineering 136
Replace E Bańkowski with:
E Bańkowski Poland
Jason A. Horton United States
Kyoko Kakimoto Japan
Rayyan A. Kayal Saudi Arabia
Pablo A. Jimenez United States
Marc A. Soares United States
Wen Sun China
Huang‐Kai Kao Taiwan
Katja Lakota Slovenia
Song‐Shu Lin relative to E Bańkowski Poland E Bańkowski's profile →
Citations per field
00.5×4.6×
E Bańkowski · 1×
Citations per year

Countries citing papers authored by Song‐Shu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Shu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Shu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Shu Lin. A scholar is included among the top collaborators of Song‐Shu Lin 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 Song‐Shu Lin. Song‐Shu Lin 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 41
2 18
3 11
4 22
5 4
6 29
7 28
8 13
9
In Vitro Osteoblastic Differentiation of Rabbit Mesenchymal Stem Cells in a Poly (Lactide-Co-Glycolide)/Interpore/Collagen Composite System
1
10 12
11 10
12 10
13 19
14 39
15 21
16 37
17 44
18 40
19 48
20 4

About Song‐Shu Lin

Song‐Shu Lin is a scholar working on Genetics, Pathology and Forensic Medicine and Surgery, having authored 36 papers that have together received 876 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Spine and Intervertebral Disc Pathology (8 papers) and Orthopedic Infections and Treatments (7 papers). The work is most often cited by research in Genetics (134 citations), Rheumatology (110 citations) and Orthopedics and Sports Medicine (61 citations). Song‐Shu Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Steve Wen‐Neng Ueng, Li‐Jen Yuan, Shih‐Jung Liu, Wen‐Jer Chen, Chi‐Chien Niu, Ching‐Lung Tai, Chun‐Hsiung Shih, Jean‐Pierre Kinet, Hirohei Yamamura and Andrew M. Scharenberg. Their work appears in journals such as The EMBO Journal, Spine and Clinical Orthopaedics and Related Research.

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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