Min Lin

51 papers and 1.7k indexed citations i.

About

Min Lin is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Min Lin has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 13 papers in Molecular Biology and 9 papers in Statistics and Probability. Recurrent topics in Min Lin’s work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Statistical Methods in Clinical Trials (9 papers) and Genetic and phenotypic traits in livestock (9 papers). Min Lin is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Statistical Methods in Clinical Trials (9 papers) and Genetic and phenotypic traits in livestock (9 papers). Min Lin collaborates with scholars based in United States, China and Canada. Min Lin's co-authors include Rongling Wu, George Casella, Chang‐Xing Ma, Hidekazu Tsukamoto, Richard A. Rippe, Onni Niemelä, Andrew Sears, Mark Y. Chan, Rongling Wu and Priya S. Kishnani and has published in prestigious journals such as New England Journal of Medicine, Circulation and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Lin

Since Specialization
Citations

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