Shili Lin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 2%
- 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 45
- Genomics and Chromatin Dynamics 32
- Bioinformatics and Genomic Networks 27
- Epigenetics and DNA Methylation 22
- Genetics 95
- Genetic Associations and Epidemiology 57
- Genetic Mapping and Diversity in Plants and Animals 43
- Genetic and phenotypic traits in livestock 30
- Genetic Syndromes and Imprinting 18
- Co-authors
- Jie Ding (6 shared papers)Joseph S. Verducci (3 shared papers)John N. Weinstein (2 shared papers)Carlo M. Croce (2 shared papers)Paul E. Blower (2 shared papers)Zunyan Dai (2 shared papers)Swati Biswas (11 shared papers)William C. Reinhold (2 shared papers)
- Journals
- Genetic Epidemiology (16 papers)Biometrics (11 papers)Human Heredity (9 papers)BMC Genetics (6 papers)Bioinformatics (6 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Shili Lin
155 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 159
- Cancer Research 521
- Genetics 798
- Molecular Biology 1.4k
- Nephrology 127
- Immunology 369
Countries citing papers authored by Shili Lin
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
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-authors
The 25 scholars most cited alongside Shili 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 294 | |
| 2 | 2007 | 194 | |
| 3 | 2010 | 136 | |
| 4 | 2003 | 101 | |
| 5 | 2008 | 98 | |
| 6 | 2007 | 82 | |
| 7 | 2007 | 75 | |
| 8 | 2008 | 72 | |
| 9 | 2014 | 67 | |
| 10 | 2008 | 55 | |
| 11 | 2002 | 55 | |
| 12 | 2006 | 55 | |
| 13 | 2019 | 48 | |
| 14 | 2007 | 46 | |
| 15 | 2009 | 44 | |
| 16 | 2005 | 42 | |
| 17 | 2008 | 42 | |
| 18 | 2011 | 36 | |
| 19 | 1993 | 34 | |
| 20 | 2012 | 31 |
About Shili Lin
Shili Lin is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Immunology and Statistics and Probability, having authored 160 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (57 papers), Gene expression and cancer classification (45 papers), Genetic Mapping and Diversity in Plants and Animals (43 papers), Genomics and Chromatin Dynamics (32 papers), Genetic and phenotypic traits in livestock (30 papers), Bioinformatics and Genomic Networks (27 papers), Epigenetics and DNA Methylation (22 papers) and Genetic Syndromes and Imprinting (18 papers). The work is most often cited by research in Cancer Research (521 citations), Genetics (798 citations), Molecular Biology (1.4k citations), Nephrology (127 citations) and Immunology (369 citations). Shili Lin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jie Ding, Joseph S. Verducci, John N. Weinstein, Carlo M. Croce, Paul E. Blower, Zunyan Dai, Swati Biswas, William C. Reinhold, Wolfgang Sadée and Ji-Hyun Chung. Their work appears in journals such as Genetic Epidemiology, Biometrics, Human Heredity, BMC Genetics 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.