Grace Ng
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- RNA Research and Splicing 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Ian Roberts (6 shared papers)Nicholas Coleman (6 shared papers)Jingxiang Huang (2 shared papers)Geetashree Mukherjee (2 shared papers)Balaji Muralidhar (2 shared papers)Leonard D. Goldstein (1 shared paper)Nuno L. Barbosa‐Morais (1 shared paper)Mark R. Pett (3 shared papers)
- Journals
- The Journal of Pathology (2 papers)Molecular Carcinogenesis (1 paper)BMJ Open (1 paper)Pediatric Surgery International (1 paper)Journal of Medical Systems (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Grace Ng
13 papers receiving 325 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 152
- Molecular Biology 211
- Epidemiology 67
- Genetics 42
- Oncology 40
Countries citing papers authored by Grace Ng
This map shows the geographic impact of Grace 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 Grace Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Ng more than expected).
Fields of papers citing papers by Grace Ng
This network shows the impact of papers produced by Grace 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 Grace Ng. The network helps show where Grace Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace 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 | 2007 | 142 | |
| 2 | 2007 | 39 | |
| 3 | 2005 | 33 | |
| 4 | 2008 | 26 | |
| 5 | 2016 | 18 | |
| 6 | 2006 | 16 | |
| 7 | 2016 | 12 | |
| 8 | 2005 | 11 | |
| 9 | 2010 | 11 | |
| 10 | 2018 | 6 | |
| 11 | 2006 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2009 | 6 |
About Grace Ng
Grace Ng is a scholar working on Molecular Biology, Genetics, Cancer Research, General Health Professions and Epidemiology, having authored 13 papers that have together received 332 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers), Mobile Health and mHealth Applications (2 papers), MicroRNA in disease regulation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Cancer Research (152 citations), Molecular Biology (211 citations), Epidemiology (67 citations), Genetics (42 citations) and Oncology (40 citations). Grace Ng has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Ian Roberts, Nicholas Coleman, Jingxiang Huang, Geetashree Mukherjee, Balaji Muralidhar, Leonard D. Goldstein, Nuno L. Barbosa‐Morais, Mark R. Pett, Jialiang Huang and Brian Lenehan. Their work appears in journals such as The Journal of Pathology, Molecular Carcinogenesis, BMJ Open, Pediatric Surgery International and Journal of Medical Systems.
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.