Bang Wong
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Biophysics top 5%
Papers in
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- Advanced Fluorescence Microscopy Techniques 2
-
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Co-authors
- Todd R. GolubNils GehlenborgGavin HaJesse S. BoehmUri Ben‐DavidJames M. McFarlandRameen BeroukhimCoyin Oh
- Journals
- Nature Methods (32 papers)Nature Genetics (1 paper)Blood (1 paper)Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Bang Wong
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Cancer Research 342
- Biophysics 90
- Oncology 400
- Molecular Biology 825
- Aging 18
Countries citing papers authored by Bang Wong
This map shows the geographic impact of Bang Wong'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 Bang Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bang Wong more than expected).
Fields of papers citing papers by Bang Wong
This network shows the impact of papers produced by Bang Wong. 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 Bang Wong. The network helps show where Bang Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bang Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | Patient-derived xenografts undergo mouse-specific tumor evolution Hit paper breakdown → | 2017 | 517 |
| 3 | 2016 | 37 | |
| 4 | 2015 | 127 | |
| 5 | 2014 | 3 | |
| 6 | 2013 | 222 | |
| 7 | Tight Coordination of Protein Translation and Heat Shock Factor 1 Activation Supports the Anabolic Malignant State | 2013 | 1 |
| 8 | 2013 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2012 | 15 | |
| 11 | 2012 | 4 | |
| 12 | 2012 | 5 | |
| 13 | 2011 | 9 | |
| 14 | 2011 | 5 | |
| 15 | 2011 | 13 | |
| 16 | 2011 | 19 | |
| 17 | 2011 | 8 | |
| 18 | 2011 | 10 | |
| 19 | 2011 | 219 | |
| 20 | 2010 | 92 |
About Bang Wong
Bang Wong is a scholar working on Biophysics, Molecular Biology, Computer Vision and Pattern Recognition, Cell Biology and Geography, Planning and Development, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (4 papers), Data Visualization and Analytics (4 papers), Gene expression and cancer classification (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Multiple Myeloma Research and Treatments (2 papers), Video Analysis and Summarization (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Cancer Research (342 citations), Biophysics (90 citations), Oncology (400 citations), Molecular Biology (825 citations) and Aging (18 citations). Bang Wong has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Todd R. Golub, Nils Gehlenborg, Gavin Ha, Jesse S. Boehm, Uri Ben‐David, James M. McFarland, Rameen Beroukhim, Coyin Oh, Juliann Shih and Noah F. Greenwald. Their work appears in journals such as Nature Methods, Nature Genetics, Blood, Science and Nature Communications.
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.