Dan Lin
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Gene expression and cancer classification 24
- Bioinformatics and Genomic Networks 11
- Genetics 27
- Genetic Mapping and Diversity in Plants and Animals 16
- Genetic and phenotypic traits in livestock 11
- Genetic Associations and Epidemiology 10
- Co-authors
- Donglin Zeng (4 shared papers)Donglin Zeng (11 shared papers)Ziv Shkedy (22 shared papers)Andrew R. Willan (2 shared papers)Guoqing Diao (3 shared papers)Hinrich W. H. Göhlmann (14 shared papers)Luc Bijnens (15 shared papers)Willem Talloen (14 shared papers)
- Journals
- Genetic Epidemiology (4 papers)Statistical Applications in Genetics and Molecular Biology (4 papers)The American Journal of Human Genetics (4 papers)Biometrika (4 papers)The R Journal (3 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Dan Lin
81 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 163
- Statistics and Probability 582
- Genetics 432
- Developmental Neuroscience 40
- Molecular Biology 573
- Plant Science 271
Countries citing papers authored by Dan Lin
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).
Fields of papers citing papers by Dan Lin
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.
Co-authors
The 25 scholars most cited alongside Dan 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 242 | |
| 2 | 2010 | 229 | |
| 3 | 2006 | 161 | |
| 4 | 2017 | 115 | |
| 5 | 2009 | 101 | |
| 6 | 2011 | 86 | |
| 7 | 2007 | 75 | |
| 8 | 2004 | 68 | |
| 9 | 2017 | 63 | |
| 10 | 2010 | 57 | |
| 11 | 2017 | 55 | |
| 12 | 2007 | 52 | |
| 13 | 2006 | 47 | |
| 14 | 2004 | 44 | |
| 15 | 2010 | 41 | |
| 16 | 2003 | 40 | |
| 17 | 2017 | 40 | |
| 18 | 2012 | 34 | |
| 19 | 2012 | 33 | |
| 20 | 2005 | 29 |
About Dan Lin
Dan Lin is a scholar working on Molecular Biology, Genetics, Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (24 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetic and phenotypic traits in livestock (11 papers), Statistical Methods and Inference (11 papers), Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (10 papers), Statistical Methods in Clinical Trials (8 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics and Probability (582 citations), Genetics (432 citations), Developmental Neuroscience (40 citations), Molecular Biology (573 citations) and Plant Science (271 citations). Dan Lin has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Donglin Zeng, Donglin Zeng, Ziv Shkedy, Andrew R. Willan, Guoqing Diao, Hinrich W. H. Göhlmann, Luc Bijnens, Willem Talloen, Bevan E. Huang and Li‐Song Chen. Their work appears in journals such as Genetic Epidemiology, Statistical Applications in Genetics and Molecular Biology, The American Journal of Human Genetics, Biometrika and The R Journal.
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.