Gilbert Ng
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
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- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Biomarkers in Disease Mechanisms 1
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- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Yan Shi (5 shared papers)Clare Elizabeth Bryant (2 shared papers)Jochen R. Guck (2 shared papers)James W. Fawcett (1 shared paper)Melanie D. Desrosiers (2 shared papers)Jessica C. F. Kwok (1 shared paper)Sandra M. Ward (2 shared papers)Giles See How Yeo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Immunity (1 paper)Archivum Immunologiae et Therapiae Experimentalis (1 paper)Immunological Reviews (1 paper)Nature Medicine (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Gilbert Ng
7 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Nephrology 157
- Immunology 423
- Cellular and Molecular Neuroscience 193
- Molecular Biology 447
- Developmental Neuroscience 24
Countries citing papers authored by Gilbert Ng
This map shows the geographic impact of Gilbert 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 Gilbert Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Ng more than expected).
Fields of papers citing papers by Gilbert Ng
This network shows the impact of papers produced by Gilbert 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 Gilbert Ng. The network helps show where Gilbert Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert 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 | 2014 | 338 | |
| 2 | 2011 | 336 | |
| 3 | 2008 | 231 | |
| 4 | 2009 | 137 | |
| 5 | 2011 | 94 | |
| 6 | 2014 | 90 | |
| 7 | 2010 | 14 |
About Gilbert Ng
Gilbert Ng is a scholar working on Immunology, Nephrology, Molecular Biology, Cell Biology and Infectious Diseases, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Immune Response and Inflammation (2 papers), Immunotherapy and Immune Responses (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Immune Cell Function and Interaction (2 papers), Nerve injury and regeneration (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Nephrology (157 citations), Immunology (423 citations), Cellular and Molecular Neuroscience (193 citations), Molecular Biology (447 citations) and Developmental Neuroscience (24 citations). Gilbert Ng has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Yan Shi, Clare Elizabeth Bryant, Jochen R. Guck, James W. Fawcett, Melanie D. Desrosiers, Jessica C. F. Kwok, Sandra M. Ward, Giles See How Yeo, Matthias Amrein and Pouria Moshayedi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity, Archivum Immunologiae et Therapiae Experimentalis, Immunological Reviews and Nature Medicine.
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.