Dan Lin

3.2k total citations
79 papers, 2.0k citations indexed

About

Dan Lin is a scholar working on Molecular Biology, Genetics and Statistics and Probability. According to data from OpenAlex, Dan Lin has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Genetics and 17 papers in Statistics and Probability. Recurrent topics in Dan Lin's work include Gene expression and cancer classification (23 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Statistical Methods and Inference (11 papers). Dan Lin is often cited by papers focused on Gene expression and cancer classification (23 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Statistical Methods and Inference (11 papers). Dan Lin collaborates with scholars based in United States, China and Belgium. Dan Lin's co-authors include Donglin Zeng, Donglin Zeng, Ziv Shkedy, Andrew R. Willan, Luc Bijnens, Guoqing Diao, Hinrich W. H. Göhlmann, Suzy Van Sanden, Li‐Song Chen and Willem Talloen and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Dan Lin

76 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Lin United States 24 572 572 431 280 206 79 2.0k
Katja Ickstadt Germany 25 862 1.5× 213 0.4× 333 0.8× 132 0.5× 212 1.0× 116 2.0k
Jie Peng China 24 964 1.7× 325 0.6× 265 0.6× 508 1.8× 192 0.9× 115 2.6k
Eugene F. Schuster United States 28 1.6k 2.8× 523 0.9× 615 1.4× 118 0.4× 252 1.2× 84 4.2k
S. Stanley Young United States 7 581 1.0× 411 0.7× 233 0.5× 58 0.2× 118 0.6× 13 1.8k
Olle Nerman Sweden 25 863 1.5× 249 0.4× 309 0.7× 145 0.5× 136 0.7× 58 2.9k
Franck Picard France 24 1.1k 1.9× 135 0.2× 435 1.0× 193 0.7× 235 1.1× 79 2.6k
J. Sunil Rao United States 20 497 0.9× 474 0.8× 165 0.4× 38 0.1× 335 1.6× 77 1.9k
Veerabhadran Baladandayuthapani United States 28 1.4k 2.5× 377 0.7× 216 0.5× 41 0.1× 282 1.4× 131 2.8k
Stephan Morgenthaler Switzerland 22 317 0.6× 501 0.9× 356 0.8× 36 0.1× 110 0.5× 86 1.7k
J. T. Gene Hwang United States 19 469 0.8× 572 1.0× 186 0.4× 132 0.5× 268 1.3× 49 1.8k

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).

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.

Co-authorship network of co-authors of Dan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Lin. A scholar is included among the top collaborators of Dan Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Lin. Dan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shrestha, Poojan, Mariaelisa Graff, Yu Gu, et al.. (2024). Multiancestry Genome-Wide Association Study of Early Childhood Caries. Journal of Dental Research. 104(3). 280–289. 2 indexed citations
2.
Chen, Qingqing, et al.. (2024). Analysis of foodborne outbreaks in Wenzhou City, China, 2012–2022. Epidemiology and Infection. 152. e175–e175.
3.
Lin, Dan, Ákos Kenéz, J.A.A. McArt, & Jun Li. (2023). Transformer neural network to predict and interpret pregnancy loss from activity data in Holstein dairy cows. Computers and Electronics in Agriculture. 205. 107638–107638. 11 indexed citations
4.
Lin, Dan, Li Zhang, Xuelian Li, et al.. (2019). Phylogenetic analyses and characteristics of the microbiomes from five mealybugs (Hemiptera: Pseudococcidae). Ecology and Evolution. 9(4). 1972–1984. 9 indexed citations
5.
Francq, Bernard, Dan Lin, & W. Hoyer. (2019). Confidence, prediction, and tolerance in linear mixed models. Statistics in Medicine. 38(30). 5603–5622. 26 indexed citations
6.
Zeng, Donglin, et al.. (2018). Robust Score Tests With Missing Data in Genomics Studies. Journal of the American Statistical Association. 114(528). 1778–1786. 3 indexed citations
7.
Karnell, Fredrick G., Dan Lin, Samantha Motley, et al.. (2017). Reconstitution of immune cell populations in multiple sclerosis patients after autologous stem cell transplantation. Clinical & Experimental Immunology. 189(3). 268–278. 52 indexed citations
8.
Zhang, Jiang, et al.. (2017). Effects of Low pH on Photosynthesis, Related Physiological Parameters, and Nutrient Profiles of Citrus. Frontiers in Plant Science. 8. 185–185. 104 indexed citations
9.
Nyante, Sarah J., Marilie D. Gammon, Jay S. Kaufman, et al.. (2014). Genetic variation in estrogen and progesterone pathway genes and breast cancer risk: an exploration of tumor subtype-specific effects. Cancer Causes & Control. 26(1). 121–131. 15 indexed citations
10.
Verbeke, Geert, Adetayo Kasim, Dan Lin, et al.. (2012). Gene Filtering in the Analysis of Illumina Microarray Experiments. Statistical Applications in Genetics and Molecular Biology. 11(2). 4 indexed citations
11.
Guo, Feng‐Biao, Yuan‐Nong Ye, Hailong Zhao, Dan Lin, & Wei Wang. (2012). Universal Pattern and Diverse Strengths of Successive Synonymous Codon Bias in Three Domains of Life, Particularly Among Prokaryotic Genomes. DNA Research. 19(6). 477–485. 13 indexed citations
12.
Avery, Christy L., Qianchuan He, Kari E. North, et al.. (2011). A Phenomics-Based Strategy Identifies Loci on APOC1, BRAP, and PLCG1 Associated with Metabolic Syndrome Phenotype Domains. PLoS Genetics. 7(10). e1002322–e1002322. 77 indexed citations
13.
Lin, Dan, Ziv Shkedy, José Cortiñas Abrahantes, et al.. (2010). Selection and evaluation of gene-specific biomarkers in preclinical and clinical microarray experiments. Lirias (KU Leuven). 2 indexed citations
14.
Lin, Dan, Ziv Shkedy, Tomasz Burzykowski, et al.. (2010). Multiple contrast test for detecting monotonic dose-response relationship and FDR-adjusted confidence intervals for selected parameters in a microarray Setting. Document Server@UHasselt (UHasselt). 1 indexed citations
15.
Kasim, Adetayo, Dan Lin, Suzy Van Sanden, et al.. (2010). Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach. Statistical Applications in Genetics and Molecular Biology. 9(1). Article 4–Article 4. 12 indexed citations
16.
Lin, Dan, Ziv Shkedy, Tomasz Burzykowski, et al.. (2009). Classification of Trends in Dose-Response Microarray Experiments Using Information Theory Selection Methods. 3(1). 4 indexed citations
17.
Lin, Dan & Donglin Zeng. (2009). Meta‐analysis of genome‐wide association studies: no efficiency gain in using individual participant data. Genetic Epidemiology. 34(1). 60–66. 100 indexed citations
18.
Valkenborg, Dirk, Suzy Van Sanden, Dan Lin, et al.. (2008). A Cross-Validation Study to Select a Classification Procedure for Clinical Diagnosis Based on Proteomic Mass Spectrometry. Statistical Applications in Genetics and Molecular Biology. 7(2). Article12–Article12. 9 indexed citations
19.
Huang, Bevan E. & Dan Lin. (2007). Efficient Association Mapping of Quantitative Trait Loci with Selective Genotyping. The American Journal of Human Genetics. 80(3). 567–576. 48 indexed citations
20.
Diao, Guoqing & Dan Lin. (2005). Semiparametric Methods for Mapping Quantitative Trait Loci with Censored Data. Biometrics. 61(3). 789–798. 18 indexed citations

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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