Peng Wei
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 9
- RNA modifications and cancer 9
- Genetics 37
- Genetic Associations and Epidemiology 29
- Genetic Mapping and Diversity in Plants and Animals 9
- Genomics and Rare Diseases 7
- Co-authors
- Wei Pan (18 shared papers)Eric Boerwinkle (7 shared papers)Xiaoming Liu (4 shared papers)Richard A. Gibbs (3 shared papers)Kai Wang (2 shared papers)Caixia Dong (1 shared paper)Donghui Li (9 shared papers)Junghi Kim (2 shared papers)
- Journals
- Genetic Epidemiology (8 papers)Cancer Prevention Research (4 papers)Bioinformatics (3 papers)Genetics (3 papers)Statistics in Medicine (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Peng Wei
132 papers receiving 2.9k citations
Peng Wei's Hit Papers
Peers
Comparison fields: 5 of 141
- Genetics 808
- Cancer Research 302
- Hematology 190
- Molecular Biology 1.2k
- Genetics 150
Countries citing papers authored by Peng Wei
This map shows the geographic impact of Peng Wei'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 Peng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wei more than expected).
Fields of papers citing papers by Peng Wei
This network shows the impact of papers produced by Peng Wei. 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 Peng Wei. The network helps show where Peng Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Wei, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies Hit paper breakdown → | 2014 | 696 |
| 2 | 2014 | 129 | |
| 3 | 2011 | 99 | |
| 4 | 2009 | 89 | |
| 5 | 2020 | 84 | |
| 6 | 2016 | 64 | |
| 7 | 2007 | 60 | |
| 8 | 2017 | 58 | |
| 9 | 2012 | 56 | |
| 10 | 2013 | 50 | |
| 11 | 2018 | 50 | |
| 12 | 2015 | 50 | |
| 13 | 2015 | 48 | |
| 14 | 2015 | 48 | |
| 15 | 2017 | 46 | |
| 16 | Molecular profile of bladder cancer progression to clinically aggressive subtypes Hit paper breakdown → | 2024 | 43 |
| 17 | 2021 | 42 | |
| 18 | 2007 | 41 | |
| 19 | 2015 | 39 | |
| 20 | 2011 | 39 |
About Peng Wei
Peng Wei is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Oncology, having authored 139 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Bioinformatics and Genomic Networks (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Gene expression and cancer classification (9 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Genomics and Rare Diseases (7 papers). The work is most often cited by research in Genetics (808 citations), Cancer Research (302 citations), Hematology (190 citations), Molecular Biology (1.2k citations) and Genetics (150 citations). Peng Wei has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wei Pan, Eric Boerwinkle, Xiaoming Liu, Richard A. Gibbs, Kai Wang, Caixia Dong, Donghui Li, Junghi Kim, Yiwei Zhang and Xiaotong Shen. Their work appears in journals such as Genetic Epidemiology, Cancer Prevention Research, Bioinformatics, Genetics and Statistics in Medicine.
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.