Christopher Ng
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Epigenetics and DNA Methylation 6
- PI3K/AKT/mTOR signaling in cancer 3
- Hedgehog Signaling Pathway Studies 3
- ATP Synthase and ATPases Research 2
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Pier Paolo Pandolfi (7 shared papers)Min Sup Song (3 shared papers)Kaitlyn A. Webster (3 shared papers)Ernest Fraenkel (5 shared papers)Su Jung Song (2 shared papers)Lewis C. Cantley (2 shared papers)Laura Poliseno (2 shared papers)Ugo Ala (2 shared papers)
- Journals
- Journal of Clinical Pathology (4 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (4 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Discovery (3 papers)Cell (2 papers)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Christopher Ng
34 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 413
- Molecular Biology 1.2k
- Oncology 355
- Cellular and Molecular Neuroscience 175
- Genetics 92
Countries citing papers authored by Christopher Ng
This map shows the geographic impact of Christopher 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 Christopher Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Ng more than expected).
Fields of papers citing papers by Christopher Ng
This network shows the impact of papers produced by Christopher 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 Christopher Ng. The network helps show where Christopher Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 369 | |
| 2 | 2014 | 221 | |
| 3 | 2013 | 146 | |
| 4 | 2018 | 134 | |
| 5 | 2013 | 130 | |
| 6 | 2013 | 129 | |
| 7 | 2010 | 97 | |
| 8 | 2014 | 80 | |
| 9 | 2015 | 72 | |
| 10 | 2013 | 43 | |
| 11 | 2008 | 40 | |
| 12 | 2019 | 29 | |
| 13 | 2015 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 19 | |
| 16 | 2019 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 11 |
About Christopher Ng
Christopher Ng is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Genetics, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Genetic Neurodegenerative Diseases (3 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (413 citations), Molecular Biology (1.2k citations), Oncology (355 citations), Cellular and Molecular Neuroscience (175 citations) and Genetics (92 citations). Christopher Ng has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Pier Paolo Pandolfi, Min Sup Song, Kaitlyn A. Webster, Ernest Fraenkel, Su Jung Song, Lewis C. Cantley, Laura Poliseno, Ugo Ala, Xin Yuan and Andrea L. Richardson. Their work appears in journals such as Journal of Clinical Pathology, Biochimica et Biophysica Acta (BBA) - General Subjects, Proceedings of the National Academy of Sciences, Cancer Discovery and Cell.
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.