Stanley Ng
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Cancer Genomics and Diagnostics
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 9
-
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 3
- Epigenetics and DNA Methylation 2
- Co-authors
- John E. Dick (8 shared papers)Mark D. Minden (7 shared papers)Jean Wang (7 shared papers)Amanda Mitchell (4 shared papers)Liran I. Shlush (2 shared papers)Sagi Abelson (2 shared papers)Thomas J. Hudson (1 shared paper)Abilasha Rao‐Bhatia (1 shared paper)
- Journals
- Blood (4 papers)Lara D. Veeken (2 papers)Nature (2 papers)Genome Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Stanley Ng
18 papers receiving 779 citations
Peers
Comparison fields: 5 of 71
- Hematology 353
- Cancer Research 157
- Molecular Biology 527
- Immunology 128
- Genetics 50
Countries citing papers authored by Stanley Ng
This map shows the geographic impact of Stanley 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 Stanley Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Ng more than expected).
Fields of papers citing papers by Stanley Ng
This network shows the impact of papers produced by Stanley 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 Stanley Ng. The network helps show where Stanley Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanley 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 | 349 | |
| 2 | 2018 | 224 | |
| 3 | 2018 | 74 | |
| 4 | 2018 | 60 | |
| 5 | 2022 | 19 | |
| 6 | 2012 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Stanley Ng
Stanley Ng is a scholar working on Hematology, Molecular Biology, Immunology, Rheumatology and Cancer Research, having authored 19 papers that have together received 782 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (3 papers), Immune Cell Function and Interaction (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Epigenetics and DNA Methylation (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hematology (353 citations), Cancer Research (157 citations), Molecular Biology (527 citations), Immunology (128 citations) and Genetics (50 citations). Stanley Ng has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include John E. Dick, Mark D. Minden, Jean Wang, Amanda Mitchell, Liran I. Shlush, Sagi Abelson, Thomas J. Hudson, Abilasha Rao‐Bhatia, Véronique Voisin and Changjiang Xu. Their work appears in journals such as Blood, Lara D. Veeken, Nature, Genome Medicine and Cancer Research.
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.