Gen Li
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Statistical Methods and Inference 9
- Genetics 12
- Genetic Associations and Epidemiology 9
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Kun Chen (7 shared papers)Andrew B. Nobel (3 shared papers)Haipeng Shen (3 shared papers)Tianchen Xu (3 shared papers)Sungkyu Jung (2 shared papers)Fred A. Wright (2 shared papers)Ryan T. Demmer (1 shared paper)Eric F. Lock (3 shared papers)
- Journals
- Biometrics (6 papers)Bioinformatics (3 papers)Science (3 papers)Biostatistics (3 papers)Journal of Multivariate Analysis (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Gen Li
46 papers receiving 6.3k citations
Gen Li's Hit Papers
Peers
Comparison fields: 5 of 158
- Genetics 2.0k
- Cancer Research 637
- Molecular Biology 3.2k
- Computational Mathematics 22
- Aging 57
Countries citing papers authored by Gen Li
This map shows the geographic impact of Gen Li'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 Gen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen Li more than expected).
Fields of papers citing papers by Gen Li
This network shows the impact of papers produced by Gen Li. 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 Gen Li. The network helps show where Gen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gen Li, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans Hit paper breakdown → | 2015 | 3872 |
| 2 | Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics Hit paper breakdown → | 2018 | 717 |
| 3 | The impact of sex on gene expression across human tissues Hit paper breakdown → | 2020 | 469 |
| 4 | Cell type–specific genetic regulation of gene expression across human tissues Hit paper breakdown → | 2020 | 414 |
| 5 | A Quantitative Proteome Map of the Human Body Hit paper breakdown → | 2020 | 336 |
| 6 | 2018 | 90 | |
| 7 | 2020 | 46 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 32 | |
| 10 | 2015 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 14 |
About Gen Li
Gen Li is a scholar working on Statistics and Probability, Genetics, Computational Mathematics, Molecular Biology and Signal Processing, having authored 49 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Statistical Methods and Inference (9 papers), Gene expression and cancer classification (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Tensor decomposition and applications (4 papers), Bayesian Methods and Mixture Models (3 papers), Gut microbiota and health (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (637 citations), Molecular Biology (3.2k citations), Computational Mathematics (22 citations) and Aging (57 citations). Gen Li has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Kun Chen, Andrew B. Nobel, Haipeng Shen, Tianchen Xu, Sungkyu Jung, Fred A. Wright, Ryan T. Demmer, Eric F. Lock, Jianhua Z. Huang and Irina Gaynanova. Their work appears in journals such as Biometrics, Bioinformatics, Science, Biostatistics and Journal of Multivariate Analysis.
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.