Pei Wang
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
Papers in
-
- Gene expression and cancer classification 30
- Bioinformatics and Genomic Networks 21
- RNA modifications and cancer 16
- Epigenetics and DNA Methylation 12
- Metabolomics and Mass Spectrometry Studies 9
- Oncology 39
- Co-authors
- Jonathan R. Pollack (13 shared papers)Patrick Danaher (2 shared papers)Daniela Witten (1 shared paper)Jie Peng (11 shared papers)Tina Hernandez‐Boussard (8 shared papers)Hua Tang (6 shared papers)Neil Risch (2 shared papers)Ji Zhu (2 shared papers)
- Journals
- PLoS ONE (7 papers)Bioinformatics (5 papers)Molecular & Cellular Proteomics (5 papers)Biostatistics (4 papers)Oncogene (4 papers)
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Pei Wang
260 papers receiving 10.5k citations
Pei Wang's Hit Papers
Peers
Comparison fields: 5 of 198
- Cancer Research 1.2k
- Statistics and Probability 669
- Oncology 2.0k
- Molecular Biology 4.5k
- Genetics 1.7k
Countries citing papers authored by Pei Wang
This map shows the geographic impact of Pei 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 Pei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Wang more than expected).
Fields of papers citing papers by Pei Wang
This network shows the impact of papers produced by Pei 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 Pei Wang. The network helps show where Pei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei 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 273 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted delivery of a PD-1-blocking scFv by CAR-T cells enhances anti-tumor efficacy in vivo Hit paper breakdown → | 2018 | 644 |
| 2 | Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery Hit paper breakdown → | 2009 | 615 |
| 3 | The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes Hit paper breakdown → | 2013 | 537 |
| 4 | 2005 | 443 | |
| 5 | 2009 | 424 | |
| 6 | 2006 | 370 | |
| 7 | 2007 | 240 | |
| 8 | 2006 | 215 | |
| 9 | 2006 | 194 | |
| 10 | 2007 | 190 | |
| 11 | 2004 | 188 | |
| 12 | 2010 | 177 | |
| 13 | 2008 | 175 | |
| 14 | 2010 | 169 | |
| 15 | 2008 | 168 | |
| 16 | 2020 | 157 | |
| 17 | 2005 | 149 | |
| 18 | 2005 | 148 | |
| 19 | 2017 | 148 | |
| 20 | 2007 | 145 |
About Pei Wang
Pei Wang is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Spectroscopy, having authored 273 papers that have together received 10.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (30 papers), Bioinformatics and Genomic Networks (21 papers), RNA modifications and cancer (16 papers), Advanced Proteomics Techniques and Applications (16 papers), Epigenetics and DNA Methylation (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Cancer Genomics and Diagnostics (11 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Cancer Research (1.2k citations), Statistics and Probability (669 citations), Oncology (2.0k citations), Molecular Biology (4.5k citations) and Genetics (1.7k citations). Pei Wang has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Jonathan R. Pollack, Patrick Danaher, Daniela Witten, Jie Peng, Tina Hernandez‐Boussard, Hua Tang, Neil Risch, Ji Zhu, Amanda G. Paulovich and Robert Tibshirani. Their work appears in journals such as PLoS ONE, Bioinformatics, Molecular & Cellular Proteomics, Biostatistics and Oncogene.
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.