Dan Lin

75 papers and 1.9k indexed citations i.

About

Dan Lin is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Dan Lin has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Genetics and 17 papers in Statistics and Probability. Recurrent topics in Dan Lin’s work include Gene expression and cancer classification (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Bioinformatics and Genomic Networks (11 papers). Dan Lin is often cited by papers focused on Gene expression and cancer classification (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Bioinformatics and Genomic Networks (11 papers). Dan Lin collaborates with scholars based in United States, China and Belgium. Dan Lin's co-authors include Donglin Zeng, Donglin Zeng, Andrew R. Willan, Ziv Shkedy, Luc Bijnens, Guoqing Diao, Patrick J. Heagerty, Hinrich W. H. Göhlmann, Bevan E. Huang and Li‐Song Chen and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Dan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Lin

Since Specialization
Citations

This map shows the geographic impact of Dan 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 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 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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