Min Lin

2.5k citations
55 papers · 1.9k · h-index 21

Impact in

    • Interactive and Immersive Displays
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 10
    • Genetic and phenotypic traits in livestock 8
    • Gene expression and cancer classification 4

Min Lin

54 papers receiving 1.8k citations

Peers

Min Lin
Comparison fields: 5 of 142
  • Human-Computer Interaction 146
  • Genetics 477
  • Internal Medicine 44
  • Cardiology and Cardiovascular Medicine 204
  • Statistics and Probability 73
Replace W. D. Thompson with:
W. D. Thompson United Kingdom
Xiao Dong United States
Hanwen Huang United States
Elizabeth Chen United States
Alvin J. Cox United States
Matthew Kim United States
Han Rauwerda Netherlands
Tony Burdett United Kingdom
Jung Bok Lee South Korea
Michelle Turcotte Canada
Min Lin relative to W. D. Thompson United Kingdom W. D. Thompson's profile →
Citations per field
00.5×10×15×20.9×
W. D. Thompson · 1×
Citations per year

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).

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.

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.

Border = papers with Min Lin Line = papers co-authored together Min Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006263
2 2009184
3 2006167
4 2010119
5 1995112
6 2008110
7 200498
8 200790
9 200977
10 200470
11 201162
12 200449
13 200742
14 201532
15 200828
16 200327
17 200627
18 201327
19 202021
20 200720

About Min Lin

Min Lin is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Human-Computer Interaction and Cognitive Neuroscience, 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), Statistical Methods in Clinical Trials (9 papers), Genetic and phenotypic traits in livestock (8 papers), Tactile and Sensory Interactions (5 papers), Speech and dialogue systems (4 papers), Interactive and Immersive Displays (4 papers), Gaze Tracking and Assistive Technology (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Human-Computer Interaction (146 citations), Genetics (477 citations), Internal Medicine (44 citations), Cardiology and Cardiovascular Medicine (204 citations) and Statistics and Probability (73 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, Hidekazu Tsukamoto, Onni Niemelä, Richard A. Rippe, Mark Y. Chan and Robert M. Califf. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Genetics, Therapeutic Innovation & Regulatory Science, Circulation and Bioinformatics.

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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