I-Wen Song

20 papers and 662 indexed citations i.

About

I-Wen Song is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, I-Wen Song has authored 20 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Rheumatology. Recurrent topics in I-Wen Song’s work include Connective tissue disorders research (3 papers), Tendon Structure and Treatment (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). I-Wen Song is often cited by papers focused on Connective tissue disorders research (3 papers), Tendon Structure and Treatment (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). I-Wen Song collaborates with scholars based in United States, Taiwan and Canada. I-Wen Song's co-authors include Yuan-Tsong Chen, Jer‐Yuarn Wu, Jenn-Hwai Yang, Chien-Hsiun Chen, Fu‐Tong Liu, Chia‐Ni Hsiung, Chen‐Yang Shen, J. J. Yen, Li-Ching Chang and Pei‐Ei Wu and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of I-Wen Song i

Fields of papers citing papers by I-Wen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by I-Wen Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025