Min Lin
Impact in
- Human-Computer Interaction top 2%
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 16
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic and phenotypic traits in livestock 9
- Co-authors
- Rongling Wu (10 shared papers)Andrew Sears (7 shared papers)George Casella (3 shared papers)Chang‐Xing Ma (3 shared papers)Rongling Wu (5 shared papers)Richard A. Rippe (1 shared paper)Hidekazu Tsukamoto (1 shared paper)Onni Niemelä (1 shared paper)
- Journals
- Journal of Biopharmaceutical Statistics (4 papers)Circulation (3 papers)Genetics (3 papers)Therapeutic Innovation & Regulatory Science (3 papers)Biotechnology and Bioengineering (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Lin
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 145
- Human-Computer Interaction 146
- Genetics 499
- Internal Medicine 53
- Cardiology and Cardiovascular Medicine 267
- Statistics and Probability 79
Countries citing papers authored by Min Lin
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).
Fields of papers citing papers by Min Lin
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.
Co-authors
The 25 scholars most cited alongside Min Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 258 | |
| 2 | 2009 | 183 | |
| 3 | 2006 | 166 | |
| 4 | 2010 | 118 | |
| 5 | 1995 | 113 | |
| 6 | 2008 | 110 | |
| 7 | 2004 | 97 | |
| 8 | 2007 | 88 | |
| 9 | 2009 | 77 | |
| 10 | 2004 | 70 | |
| 11 | 2011 | 61 | |
| 12 | 2004 | 49 | |
| 13 | 2007 | 41 | |
| 14 | 2015 | 31 | |
| 15 | 2013 | 27 | |
| 16 | 2006 | 27 | |
| 17 | 2008 | 27 | |
| 18 | 2003 | 27 | |
| 19 | 2007 | 20 | |
| 20 | 2012 | 19 |
About Min Lin
Min Lin is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Human-Computer Interaction and Surgery, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (9 papers), Statistical Methods in Clinical Trials (9 papers), Tactile and Sensory Interactions (5 papers), Gaze Tracking and Assistive Technology (4 papers), Usability and User Interface Design (4 papers), Speech and dialogue systems (4 papers) and Interactive and Immersive Displays (4 papers). The work is most often cited by research in Human-Computer Interaction (146 citations), Genetics (499 citations), Internal Medicine (53 citations), Cardiology and Cardiovascular Medicine (267 citations) and Statistics and Probability (79 citations). Min Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rongling Wu, Andrew Sears, George Casella, Chang‐Xing Ma, Rongling Wu, Richard A. Rippe, Hidekazu Tsukamoto, Onni Niemelä, Mark Y. Chan and Julie A. Jacko. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Circulation, Genetics, Therapeutic Innovation & Regulatory Science and Biotechnology and Bioengineering.
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.