Song‐Shu Lin

34 papers and 850 indexed citations i.

About

Song‐Shu Lin is a scholar working on Surgery, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Song‐Shu Lin has authored 34 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 9 papers in Genetics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Song‐Shu Lin’s work include Mesenchymal stem cell research (8 papers), Spine and Intervertebral Disc Pathology (8 papers) and Bone fractures and treatments (7 papers). Song‐Shu Lin is often cited by papers focused on Mesenchymal stem cell research (8 papers), Spine and Intervertebral Disc Pathology (8 papers) and Bone fractures and treatments (7 papers). Song‐Shu Lin collaborates with scholars based in Taiwan and United States. Song‐Shu Lin's co-authors include Steve Wen‐Neng Ueng, Li‐Jen Yuan, Shih‐Jung Liu, Wen‐Jer Chen, Chi‐Chien Niu, Ching‐Lung Tai, Jean‐Pierre Kinet, Andrew M. Scharenberg, Hirohei Yamamura and Chun‐Hsiung Shih and has published in prestigious journals such as The EMBO Journal, Spine and Clinical Orthopaedics and Related Research.

In The Last Decade

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

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.

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).

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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