Wayne Ng
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 6
-
- MicroRNA in disease regulation 3
- Co-authors
- Andrew P. Morokoff (6 shared papers)Theo Mantamadiotis (2 shared papers)Daniel V. Brown (2 shared papers)Paul M Daniel (2 shared papers)Andrew Henry Kaye (4 shared papers)Andrew Gogos (2 shared papers)Sebastian Dworkin (1 shared paper)Nicole Kountouri (2 shared papers)
- Journals
- Biopreservation and Biobanking (7 papers)Transportation Research Part C Emerging Technologies (2 papers)Journal of neurosurgery (1 paper)Oncotarget (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- AustraliaUnited KingdomIndonesia
In The Last Decade
Wayne Ng
22 papers receiving 409 citations
Peers
Comparison fields: 5 of 71
- Genetics 130
- Cancer Research 107
- Oncology 110
- Molecular Biology 147
- Health Informatics 3
Countries citing papers authored by Wayne Ng
This map shows the geographic impact of Wayne Ng'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 Wayne Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Ng more than expected).
Fields of papers citing papers by Wayne Ng
This network shows the impact of papers produced by Wayne Ng. 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 Wayne Ng. The network helps show where Wayne Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Ng, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 116 | |
| 2 | 2015 | 84 | |
| 3 | 2014 | 52 | |
| 4 | 2015 | 41 | |
| 5 | 2021 | 23 | |
| 6 | 2018 | 17 | |
| 7 | 2019 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2014 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Wayne Ng
Wayne Ng is a scholar working on Genetics, Cancer Research, Economics and Econometrics, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 22 papers that have together received 412 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Ethics in Clinical Research (3 papers), Biomedical Ethics and Regulation (3 papers), MicroRNA in disease regulation (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Air Traffic Management and Optimization (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Genetics (130 citations), Cancer Research (107 citations), Oncology (110 citations), Molecular Biology (147 citations) and Health Informatics (3 citations). Wayne Ng has collaborated with scholars based in Australia, United Kingdom and Indonesia. Frequent co-authors include Andrew P. Morokoff, Theo Mantamadiotis, Daniel V. Brown, Paul M Daniel, Andrew Henry Kaye, Andrew Gogos, Sebastian Dworkin, Nicole Kountouri, Frédéric Hollande and Gulay Filiz. Their work appears in journals such as Biopreservation and Biobanking, Transportation Research Part C Emerging Technologies, Journal of neurosurgery, Oncotarget and Advances in experimental medicine and biology.
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.