Ying‐Ju Lin

72 papers and 2.0k indexed citations i.

About

Ying‐Ju Lin is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Ying‐Ju Lin has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Immunology and 12 papers in Surgery. Recurrent topics in Ying‐Ju Lin’s work include RNA Research and Splicing (9 papers), Kawasaki Disease and Coronary Complications (9 papers) and Inflammasome and immune disorders (7 papers). Ying‐Ju Lin is often cited by papers focused on RNA Research and Splicing (9 papers), Kawasaki Disease and Coronary Complications (9 papers) and Inflammasome and immune disorders (7 papers). Ying‐Ju Lin collaborates with scholars based in Taiwan, United States and China. Ying‐Ju Lin's co-authors include Lei Wan, Cheng‐Wen Lin, Fuu‐Jen Tsai, Su‐Hua Huang, Jim Jinn‐Chyuan Sheu, Chih‐Ho Lai, Tsuey‐Ching Yang, Jung-Chun Lin, Chien‐Chen Lai and Ching-Ying Wang and has published in prestigious journals such as Cancer Research, Journal of Virology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ying‐Ju Lin i

Fields of papers citing papers by Ying‐Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying‐Ju Lin

Since Specialization
Citations

This map shows the geographic impact of Ying‐Ju 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 Ying‐Ju Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Ju 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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2025