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 Research and Splicing
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Molecular Biology Techniques and Applications
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 2
- Molecular Biology Techniques and Applications 2
- Genetics 3
- 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)John S. Mattick (2 shared papers)Stacey B. Andersen (2 shared papers)
- Journals
- Nature Communications (6 papers)Nature Methods (2 papers)Bioinformatics (1 paper)Nature Protocols (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited KingdomMexico
In The Last Decade
Ted Wong
19 papers receiving 452 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 55
- Molecular Biology 270
- Infectious Diseases 60
- Ecology 62
- Animal Science and Zoology 21
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 | 102 | |
| 2 | 2018 | 84 | |
| 3 | 2013 | 46 | |
| 4 | 2022 | 32 | |
| 5 | 2023 | 32 | |
| 6 | 2013 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 2 | |
| 18 | 1993 | 2 | |
| 19 | 1993 | 2 |
About Ted Wong
Ted Wong is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 469 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Genomics and Diagnostics (3 papers), Geophysical and Geoelectrical Methods (2 papers), RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Molecular Biology Techniques and Applications (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Cancer Research (55 citations), Molecular Biology (270 citations), Infectious Diseases (60 citations), Ecology (62 citations) and Animal Science and Zoology (21 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, John S. Mattick, Stacey B. Andersen, Esteban Marcellin and Martin A. Smith. Their work appears in journals such as Nature Communications, Nature Methods, Bioinformatics, Nature Protocols and PLoS ONE.
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.