Huck‐Hui Ng
- Molecular Biology top 0.05%
- Pluripotent Stem Cells Research 62
- CRISPR and Genetic Engineering 55
- Genomics and Chromatin Dynamics 29
- Epigenetics and DNA Methylation 25
- Renal and related cancers 19
- RNA Research and Splicing 11
- Cancer-related gene regulation 10
- Aging top 1%
- Genetics top 0.2%
- Cancer Research top 0.5%
- Developmental Neuroscience top 1%
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- Chromosomal and Genetic Variations 9
- Co-authors
- Adrian BirdKevin StruhlYi ZhangBryan M. TurnerColin A. JohnsonYuin‐Han LohRobert N. EisenmanCarol D. Laherty
- Cited by
- Molecular BiologyAgingGenetics
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Huck‐Hui Ng
113 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 19.4k
- Aging 244
- Genetics 3.6k
- Cancer Research 1.8k
- Developmental Neuroscience 317
Countries citing papers authored by Huck‐Hui Ng
This map shows the geographic impact of Huck‐Hui 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 Huck‐Hui Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huck‐Hui Ng more than expected).
Fields of papers citing papers by Huck‐Hui Ng
This network shows the impact of papers produced by Huck‐Hui 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 Huck‐Hui Ng. The network helps show where Huck‐Hui Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huck‐Hui 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 58 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 39 | |
| 7 | 2017 | 232 | |
| 8 | 2015 | 252 | |
| 9 | 2015 | 152 | |
| 10 | 2014 | 27 | |
| 11 | 2013 | 98 | |
| 12 | 2012 | 27 | |
| 13 | 2011 | 1 | |
| 14 | 2011 | 6 | |
| 15 | 2009 | 286 | |
| 16 | 2009 | 13 | |
| 17 | 2008 | 26 | |
| 18 | 2008 | 421 | |
| 19 | 2008 | 17 | |
| 20 | 2007 | 407 |
About Huck‐Hui Ng
Huck‐Hui Ng is a scholar working on Aging, Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Biotechnology, having authored 113 papers that have together received 21.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (62 papers), CRISPR and Genetic Engineering (55 papers), Genomics and Chromatin Dynamics (29 papers), Epigenetics and DNA Methylation (25 papers), Renal and related cancers (19 papers), RNA Research and Splicing (11 papers), Cancer-related gene regulation (10 papers) and Chromosomal and Genetic Variations (9 papers). The work is most often cited by research in Molecular Biology (19.4k citations), Aging (244 citations), Genetics (3.6k citations), Cancer Research (1.8k citations) and Developmental Neuroscience (317 citations). Huck‐Hui Ng has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Adrian Bird, Kevin Struhl, Yi Zhang, Bryan M. Turner, Colin A. Johnson, Yuin‐Han Loh, Robert N. Eisenman, Carol D. Laherty, Xinsheng Nan and Paul Tempst. Their work appears in journals such as Cell stem cell, Genes & Development, Nature Cell Biology, Stem Cells and Journal of Biological Chemistry.
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.