Panwen Wang
Impact in
- Cancer Research top 10%
-
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
Papers in
-
- Bioinformatics and Genomic Networks 9
- Genomics and Chromatin Dynamics 8
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 5
- Epigenetics and DNA Methylation 4
- Genetics 9
- Genetic Associations and Epidemiology 5
- Genomics and Rare Diseases 4
- Co-authors
- Junwen Wang (30 shared papers)Mulin Jun Li (15 shared papers)Pak C. Sham (11 shared papers)Maria Pik Wong (5 shared papers)Meredith Yeager (2 shared papers)Stephen J. Chanock (2 shared papers)Jing Qin (6 shared papers)Jean-Pierre A. Kocher (3 shared papers)
- Journals
- Nucleic Acids Research (10 papers)Bioinformatics (4 papers)Circulation (1 paper)Journal of the American College of Cardiology (1 paper)Epigenomics (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Panwen Wang
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 156
- Molecular Biology 652
- Genetics 258
- Computational Theory and Mathematics 58
- Cardiology and Cardiovascular Medicine 60
Countries citing papers authored by Panwen Wang
This map shows the geographic impact of Panwen 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 Panwen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panwen Wang more than expected).
Fields of papers citing papers by Panwen Wang
This network shows the impact of papers produced by Panwen 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 Panwen Wang. The network helps show where Panwen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Panwen 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 160 | |
| 2 | 2015 | 141 | |
| 3 | 2017 | 80 | |
| 4 | 2018 | 66 | |
| 5 | 2011 | 52 | |
| 6 | 2011 | 43 | |
| 7 | 2017 | 39 | |
| 8 | 2012 | 37 | |
| 9 | 2016 | 37 | |
| 10 | 2010 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2014 | 27 | |
| 13 | 2014 | 26 | |
| 14 | 2021 | 24 | |
| 15 | 2013 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2015 | 21 | |
| 18 | 2011 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2014 | 17 |
About Panwen Wang
Panwen Wang is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Cancer Research and Surgery, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Genomics and Chromatin Dynamics (8 papers), Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (5 papers), Genetic Associations and Epidemiology (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (156 citations), Molecular Biology (652 citations), Genetics (258 citations), Computational Theory and Mathematics (58 citations) and Cardiology and Cardiovascular Medicine (60 citations). Panwen Wang has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Junwen Wang, Mulin Jun Li, Pak C. Sham, Maria Pik Wong, Meredith Yeager, Stephen J. Chanock, Jing Qin, Jean-Pierre A. Kocher, Zhengyuan Xia and Zipeng Liu. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Circulation, Journal of the American College of Cardiology and Epigenomics.
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.