Gao Wang
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Genetic and phenotypic traits in livestock
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
-
- Gene expression and cancer classification 7
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Genomics and Phylogenetic Studies 3
- Genetics 16
- Genetic Associations and Epidemiology 12
- Genetic and phenotypic traits in livestock 7
- Genomic variations and chromosomal abnormalities 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Matthew Stephens (5 shared papers)Peter Carbonetto (4 shared papers)Abhishek Sarkar (2 shared papers)Sarah Urbut (1 shared paper)Yuxin Zou (3 shared papers)Bo Peng (3 shared papers)Suzanne M. Leal (10 shared papers)F. Anthony San Lucas (1 shared paper)
- Journals
- Bioinformatics (4 papers)Genetic Epidemiology (3 papers)Nature Genetics (3 papers)The American Journal of Human Genetics (2 papers)PLoS Genetics (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Gao Wang
55 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Genetics 709
- Molecular Biology 835
- Cancer Research 170
- Biological Psychiatry 12
- Immunology 82
Countries citing papers authored by Gao Wang
This map shows the geographic impact of Gao Wang'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 Gao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Wang more than expected).
Fields of papers citing papers by Gao Wang
This network shows the impact of papers produced by Gao Wang. 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 Gao Wang. The network helps show where Gao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gao Wang, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping Hit paper breakdown → | 2020 | 371 |
| 2 | 2018 | 184 | |
| 3 | 2020 | 136 | |
| 4 | Fine-mapping from summary data with the “Sum of Single Effects” model Hit paper breakdown → | 2022 | 109 |
| 5 | 2011 | 105 | |
| 6 | 2021 | 92 | |
| 7 | 2016 | 69 | |
| 8 | 2013 | 53 | |
| 9 | 2013 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2020 | 26 | |
| 13 | 2013 | 26 | |
| 14 | 2020 | 24 | |
| 15 | 2022 | 22 | |
| 16 | 2023 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2013 | 17 | |
| 20 | 2013 | 15 |
About Gao Wang
Gao Wang is a scholar working on Molecular Biology, Genetics, Control and Systems Engineering, Organic Chemistry and Artificial Intelligence, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (7 papers), Gene expression and cancer classification (7 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Genetics (709 citations), Molecular Biology (835 citations), Cancer Research (170 citations), Biological Psychiatry (12 citations) and Immunology (82 citations). Gao Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Matthew Stephens, Peter Carbonetto, Abhishek Sarkar, Sarah Urbut, Yuxin Zou, Bo Peng, Suzanne M. Leal, F. Anthony San Lucas, Paul Scheet and Shanyong Chen. Their work appears in journals such as Bioinformatics, Genetic Epidemiology, Nature Genetics, The American Journal of Human Genetics and PLoS Genetics.
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.