David P. Ng
Impact in
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- Immune Response and Inflammation
Papers in
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- Single-cell and spatial transcriptomics 5
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Steven M. Opal (1 shared paper)Duane C. Bloedow (1 shared paper)John P. Pribble (1 shared paper)Roger C. Bone (1 shared paper)Charles J. Fisher (1 shared paper)George Emmanuel (1 shared paper)Gus J. Slotman (1 shared paper)Michael A. Catalano (1 shared paper)
- Journals
- Cytometry Part B Clinical Cytometry (6 papers)Blood (2 papers)American Journal of Clinical Pathology (2 papers)American Journal of Hematology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David P. Ng
22 papers receiving 597 citations
Peers
Comparison fields: 5 of 90
- Critical Care and Intensive Care Medicine 46
- Immunology 159
- Epidemiology 169
- Hematology 34
- Statistics, Probability and Uncertainty 22
Countries citing papers authored by David P. Ng
This map shows the geographic impact of David P. 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 David P. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Ng more than expected).
Fields of papers citing papers by David P. Ng
This network shows the impact of papers produced by David P. 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 David P. Ng. The network helps show where David P. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside David P. 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 352 | |
| 2 | 2016 | 66 | |
| 3 | 2012 | 36 | |
| 4 | 2013 | 34 | |
| 5 | 2020 | 28 | |
| 6 | 2023 | 20 | |
| 7 | 2024 | 16 | |
| 8 | 2015 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 5 | |
| 12 | Parallelisation of Genetic Algorithm for Aerodynamic Design Optimisation | 1996 | 4 |
| 13 | 2021 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About David P. Ng
David P. Ng is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Hematology and Physiology, having authored 28 papers that have together received 605 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Single-cell and spatial transcriptomics (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Blood groups and transfusion (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (46 citations), Immunology (159 citations), Epidemiology (169 citations), Hematology (34 citations) and Statistics, Probability and Uncertainty (22 citations). David P. Ng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Steven M. Opal, Duane C. Bloedow, John P. Pribble, Roger C. Bone, Charles J. Fisher, George Emmanuel, Gus J. Slotman, Michael A. Catalano, Mark A Cervinski and Jonathan D. Marotti. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Blood, American Journal of Clinical Pathology, American Journal of Hematology and Journal of Clinical Oncology.
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.