Dan-Yu Lin

18 papers and 648 indexed citations i.

About

Dan-Yu Lin is a scholar working on Genetics, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Dan-Yu Lin has authored 18 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Dan-Yu Lin’s work include Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Statistical Methods and Inference (5 papers). Dan-Yu Lin is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genomics and Rare Diseases (5 papers) and Statistical Methods and Inference (5 papers). Dan-Yu Lin collaborates with scholars based in United States, Japan and Martinique. Dan-Yu Lin's co-authors include Zheng-Zheng Tang, Patrick F. Sullivan, Donglin Zeng, Ran Tao, Shahd Hamid, Kazuo Fujihara, Masoud Majed, Silvia Messina, Maria Isabel Leite and Jessica Sagen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Dan-Yu Lin i

Fields of papers citing papers by Dan-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-Yu 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 Dan-Yu Lin. The network helps show where Dan-Yu Lin may publish in the future.

Countries citing papers authored by Dan-Yu Lin

Since Specialization
Citations

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