David J. Wong
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Oncology top 2%
- Surgery top 5%
- Immunology top 5%
- Co-authors
- Howard Y. ChangMarc J. van de VijverTiffany HungRobert B. WestPedram ArganiPius BrzoskaRajnish A. GuptaRui Li
- Topics
- Cancer Genomics and Diagnostics (5 papers)Epigenetics and DNA Methylation (5 papers)Marine Sponges and Natural Products (4 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
David J. Wong
28 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 5.7k
- Cancer Research 4.3k
- Oncology 1.1k
- Surgery 834
- Immunology 688
Countries citing papers authored by David J. Wong
This map shows the geographic impact of David J. 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 David J. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Wong more than expected).
Fields of papers citing papers by David J. Wong
This network shows the impact of papers produced by David J. 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 David J. Wong. The network helps show where David J. Wong may publish in the future.
Co-authorship network of co-authors of David J. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Wong. A scholar is included among the top collaborators of David J. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Wong. David J. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 34 | |
| 3 | 140 | |
| 4 | Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasisbreakdown → | 4231 |
| 5 | 178 | |
| 6 | 21 | |
| 7 | Identification, molecular characterization, clinical prognosis, and therapeutic targeting of human bladder tumor-initiating cellsbreakdown → | 513 |
| 8 | 56 | |
| 9 | 45 | |
| 10 | 360 | |
| 11 | 29 | |
| 12 | Module Map of Stem Cell Genes Guides Creation of Epithelial Cancer Stem Cellsbreakdown → | 527 |
| 13 | 63 | |
| 14 | 21 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | 96 | |
| 18 | 353 | |
| 19 | 34 | |
| 20 | 72 |
About David J. Wong
David J. Wong is a scholar working on Biotechnology, Cancer Research and Organic Chemistry, having authored 28 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (5 papers) and Marine Sponges and Natural Products (4 papers). The work is most often cited by research in Cancer Research (4.3k citations), Molecular Biology (5.7k citations) and Oncology (1.1k citations). David J. Wong has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Howard Y. Chang, Marc J. van de Vijver, Tiffany Hung, Robert B. West, Pedram Argani, Pius Brzoska, Rajnish A. Gupta, Rui Li, Yulei Wang and Ke Wang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.