Bryan Ng
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Genetic Neurodegenerative Diseases
- Neuroscience and Neural Engineering
Papers in
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- Genetic Neurodegenerative Diseases 4
- Nerve injury and regeneration 2
- Nuclear Receptors and Signaling 2
- Neuroscience and Neural Engineering 1
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- Mitochondrial Function and Pathology 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Carola I. Radulescu (2 shared papers)Kagistia Hana Utami (1 shared paper)Byrappa Venkatesh (1 shared paper)Mahmoud A. Pouladi (2 shared papers)Marie Loh (1 shared paper)Amin Ziaei (1 shared paper)Bernice Sim (2 shared papers)George J Augustine (1 shared paper)
- Journals
- npj Parkinson s Disease (1 paper)Burns & Trauma (1 paper)Molecular Psychiatry (1 paper)Alzheimer s & Dementia (1 paper)iScience (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Bryan Ng
8 papers receiving 267 citations
Peers
Comparison fields: 5 of 57
- Aging 16
- Cellular and Molecular Neuroscience 120
- Business and International Management 11
- Molecular Biology 173
- Neurology 35
Countries citing papers authored by Bryan Ng
This map shows the geographic impact of Bryan 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 Bryan Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Ng more than expected).
Fields of papers citing papers by Bryan Ng
This network shows the impact of papers produced by Bryan 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 Bryan Ng. The network helps show where Bryan Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2023 | 37 | |
| 3 | 2023 | 20 | |
| 4 | 2020 | 11 | |
| 5 | 2024 | 10 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 0 |
About Bryan Ng
Bryan Ng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Pollution and Clinical Psychology, having authored 9 papers that have together received 268 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Nerve injury and regeneration (2 papers), Mitochondrial Function and Pathology (2 papers), Pluripotent Stem Cells Research (2 papers), Nuclear Receptors and Signaling (2 papers), Recycling and Waste Management Techniques (1 paper), Neuroscience and Neural Engineering (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Aging (16 citations), Cellular and Molecular Neuroscience (120 citations), Business and International Management (11 citations), Molecular Biology (173 citations) and Neurology (35 citations). Bryan Ng has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Carola I. Radulescu, Kagistia Hana Utami, Byrappa Venkatesh, Mahmoud A. Pouladi, Marie Loh, Amin Ziaei, Bernice Sim, George J Augustine, Jolene Ooi and Xiaohong Xu. Their work appears in journals such as npj Parkinson s Disease, Burns & Trauma, Molecular Psychiatry, Alzheimer s & Dementia and iScience.
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.