Shili Lin

3.9k total citations
160 papers, 2.8k citations indexed

About

Shili Lin is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Shili Lin has authored 160 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 95 papers in Genetics and 11 papers in Artificial Intelligence. Recurrent topics in Shili Lin's work include Genetic Associations and Epidemiology (57 papers), Gene expression and cancer classification (45 papers) and Genetic Mapping and Diversity in Plants and Animals (43 papers). Shili Lin is often cited by papers focused on Genetic Associations and Epidemiology (57 papers), Gene expression and cancer classification (45 papers) and Genetic Mapping and Diversity in Plants and Animals (43 papers). Shili Lin collaborates with scholars based in United States, China and Hong Kong. Shili Lin's co-authors include Jie Ding, Joseph S. Verducci, Zunyan Dai, Paul E. Blower, William C. Reinhold, Wolfgang Sadée, Swati Biswas, Ji-Hyun Chung, Carlo M. Croce and Chang‐Gong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Shili Lin

155 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shili Lin United States 26 1.4k 798 521 369 196 160 2.8k
Peter Krawitz Germany 30 2.1k 1.4× 1.3k 1.6× 291 0.6× 255 0.7× 233 1.2× 105 3.5k
Chunlei Wu United States 24 2.7k 1.9× 1.0k 1.3× 570 1.1× 471 1.3× 108 0.6× 58 4.5k
Enrico Petretto United Kingdom 36 2.9k 2.0× 1.1k 1.4× 545 1.0× 522 1.4× 62 0.3× 127 5.0k
Patrick Cahan United States 31 3.9k 2.8× 582 0.7× 532 1.0× 380 1.0× 134 0.7× 73 5.4k
Alia Benkahla Tunisia 11 2.0k 1.4× 334 0.4× 541 1.0× 325 0.9× 70 0.4× 26 3.2k
Jenny C. Taylor United Kingdom 29 1.7k 1.2× 1.1k 1.4× 786 1.5× 271 0.7× 62 0.3× 96 4.0k
Tony Burdett United Kingdom 13 2.5k 1.8× 1.8k 2.2× 477 0.9× 296 0.8× 125 0.6× 32 4.2k
Kenneth Katz United States 14 2.1k 1.5× 997 1.2× 396 0.8× 275 0.7× 67 0.3× 19 3.2k
Joannella Morales United States 8 2.1k 1.5× 1.9k 2.4× 393 0.8× 252 0.7× 50 0.3× 12 3.6k
Oliver Hofmann United States 26 3.0k 2.1× 625 0.8× 1.3k 2.4× 662 1.8× 94 0.5× 80 4.9k

Countries citing papers authored by Shili Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shili Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shili Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shili Lin. A scholar is included among the top collaborators of Shili 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 Shili Lin. Shili 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.
Lin, Shili, et al.. (2025). How can media attention reveal ESG improvement opportunities? A multi-algorithm machine learning-based approach for Taiwan’s electronics industry. The North American Journal of Economics and Finance. 78. 102431–102431. 1 indexed citations
2.
Zhou, Yufan, et al.. (2024). Integration of scHi-C and scRNA-seq data defines distinct 3D-regulated and biological-context dependent cell subpopulations. Nature Communications. 15(1). 8310–8310. 2 indexed citations
3.
Lin, Shili, et al.. (2022). An Adaptive and Robust Test for Microbial Community Analysis. Frontiers in Genetics. 13. 846258–846258. 1 indexed citations
4.
Lin, Shili, et al.. (2014). Blocking Approach for Identification of Rare Variants in Family-Based Association Studies. PLoS ONE. 9(1). e86126–e86126. 4 indexed citations
5.
Taslim, Cenny, Zhong Chen, Kun Huang, et al.. (2012). Integrated analysis identifies a class of androgen-responsive genes regulated by short combinatorial long-range mechanism facilitated by CTCF. Nucleic Acids Research. 40(11). 4754–4764. 21 indexed citations
6.
Taslim, Cenny, et al.. (2012). Integrative genome-wide chromatin signature analysis using finite mixture models. BMC Genomics. 13(Suppl 6). S3–S3. 6 indexed citations
7.
Lin, Shili & Hongyu Zhao. (2010). Handbook on analyzing human genetic data : computational approaches and software. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 10 indexed citations
8.
Lin, Shili. (2010). Space Oriented Rank-Based Data Integration. Statistical Applications in Genetics and Molecular Biology. 9(1). Article20–Article20. 25 indexed citations
9.
Liu, Zhenqiu, et al.. (2009). Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(1). 100–107. 30 indexed citations
10.
Deatherage, Daniel E., et al.. (2009). Methylation Analysis by Microarray. Methods in molecular biology. 556. 117–139. 9 indexed citations
11.
Lin, Huey‐Jen, Tao Zuo, Ching‐Hung Lin, et al.. (2008). Breast Cancer–Associated Fibroblasts Confer AKT1-Mediated Epigenetic Silencing of Cystatin M in Epithelial Cells. Cancer Research. 68(24). 10257–10266. 55 indexed citations
12.
Blower, Paul E., Ji-Hyun Chung, Joseph S. Verducci, et al.. (2008). MicroRNAs modulate the chemosensitivity of tumor cells. Molecular Cancer Therapeutics. 7(1). 1–9. 294 indexed citations
13.
Jin, Ming, T. Charles Casper, Spero R. Cataland, et al.. (2008). Relationship between ADAMTS13 activity in clinical remission and the risk of TTP relapse. British Journal of Haematology. 141(5). 651–658. 98 indexed citations
14.
Zhou, Ji‐Yuan, Shili Lin, Wing K. Fung, & Yue‐Qing Hu. (2008). Detection of Parent-of-Origin Effects in Complete and Incomplete Nuclear Families with Multiple Affected Children Using Multiple Tightly Linked Markers. Human Heredity. 67(2). 116–127. 4 indexed citations
15.
Blower, Paul E., Joseph S. Verducci, Shili Lin, et al.. (2007). MicroRNA expression profiles for the NCI-60 cancer cell panel. Molecular Cancer Therapeutics. 6(5). 1483–1491. 194 indexed citations
16.
Lin, Shili. (2007). Mixture modeling of progression pathways of heterogeneous breast tumors. Journal of Theoretical Biology. 249(2). 254–261. 6 indexed citations
17.
Abney, Mark, et al.. (2007). Confidence intervals for putative quantitative trait loci – development and applications of new linkage methods. BMC Proceedings. 1(S1). S91–S91. 1 indexed citations
18.
Liu, Zhenqiu & Shili Lin. (2005). Multilocus LD measure and tagging SNP selection with generalized mutual information. Genetic Epidemiology. 29(4). 353–364. 42 indexed citations
19.
Lin, Shili, James A. Rogers, & Jason C. Hsu. (2001). A Confidence-Set Approach for Finding Tightly Linked Genomic Regions. The American Journal of Human Genetics. 68(5). 1219–1228. 11 indexed citations
20.
Thompson, E. A., Shili Lin, Adam B. Olshen, & Ellen M. Wijsman. (1993). Monte Carlo analysis on a large pedigree. Genetic Epidemiology. 10(6). 677–682. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Peter Krawitz Breakdown of academic impact, for papers by Chunlei Wu Breakdown of academic impact, for papers by Enrico Petretto Breakdown of academic impact, for papers by Patrick Cahan Breakdown of academic impact, for papers by Alia Benkahla Breakdown of academic impact, for papers by Jenny C. Taylor Breakdown of academic impact, for papers by Tony Burdett Breakdown of academic impact, for papers by Kenneth Katz Breakdown of academic impact, for papers by Joannella Morales Breakdown of academic impact, for papers by Oliver Hofmann
Rankless by CCL
2026