Ted Wong
Impact in
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- Cancer-related molecular mechanisms research
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- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- RNA Research and Splicing
Papers in
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- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 5
- Molecular Biology Techniques and Applications 2
- RNA modifications and cancer 2
- Genetics 5
- Virus-based gene therapy research 2
- Co-authors
- Tim R. Mercer (11 shared papers)Ira W. Deveson (10 shared papers)Simon A. Hardwick (5 shared papers)Lars K. Nielsen (3 shared papers)Wendy Y. Chen (3 shared papers)James Blackburn (4 shared papers)Stacey B. Andersen (2 shared papers)John S. Mattick (2 shared papers)
- Journals
- Nature Communications (6 papers)Nature Methods (2 papers)Virology Journal (1 paper)Bioinformatics (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- AustraliaUnited KingdomMexico
In The Last Decade
Ted Wong
18 papers receiving 405 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 69
- Molecular Biology 280
- Infectious Diseases 52
- Ecology 64
- Animal Science and Zoology 23
Countries citing papers authored by Ted Wong
This map shows the geographic impact of Ted 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 Ted Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Wong more than expected).
Fields of papers citing papers by Ted Wong
This network shows the impact of papers produced by Ted 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 Ted Wong. The network helps show where Ted Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted 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 | 2016 | 96 | |
| 2 | 2018 | 80 | |
| 3 | 2013 | 42 | |
| 4 | 2022 | 29 | |
| 5 | 2023 | 27 | |
| 6 | 2016 | 27 | |
| 7 | 2013 | 24 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 2 | |
| 17 | 1993 | 2 | |
| 18 | 1993 | 2 |
About Ted Wong
Ted Wong is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Ecology, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), Cancer Genomics and Diagnostics (4 papers), Geophysical and Geoelectrical Methods (2 papers), Virus-based gene therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (69 citations), Molecular Biology (280 citations), Infectious Diseases (52 citations), Ecology (64 citations) and Animal Science and Zoology (23 citations). Ted Wong has collaborated with scholars based in Australia, United Kingdom and Mexico. Frequent co-authors include Tim R. Mercer, Ira W. Deveson, Simon A. Hardwick, Lars K. Nielsen, Wendy Y. Chen, James Blackburn, Stacey B. Andersen, John S. Mattick, Esteban Marcellin and Martin A. Smith. Their work appears in journals such as Nature Communications, Nature Methods, Virology Journal, Bioinformatics and Stem Cell Reports.
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.