Patrick P. Ng
- Insect Science top 2%
- Immunology top 10%
- Immunotherapy and Immune Responses 3
- Infectious Diseases top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
- Virus-based gene therapy research 2
- Aging top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- CAR-T cell therapy research 5
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- Multiple Myeloma Research and Treatments 4
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- Glycosylation and Glycoproteins Research 3
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- Biotin and Related Studies 2
- Co-authors
- Angela E. DouglasRonald LevyDebra K. CzerwinskiHolbrook E. KohrtIdit Sagiv-BarfiBetty ChangManuel L. PenichetUri Keich
- Journals
- Blood (6 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Patrick P. Ng
26 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Insect Science 284
- Immunology 385
- Infectious Diseases 299
- Genetics 161
- Aging 25
Countries citing papers authored by Patrick P. Ng
This map shows the geographic impact of Patrick 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 Patrick 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 Patrick P. Ng more than expected).
Fields of papers citing papers by Patrick P. Ng
This network shows the impact of papers produced by Patrick 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 Patrick P. Ng. The network helps show where Patrick P. Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 3 | |
| 5 | 2016 | 11 | |
| 6 | Therapeutic antitumor immunity by checkpoint blockade is enhanced by ibrutinib, an inhibitor of both BTK and ITKbreakdown → | 2015 | 352 |
| 7 | 2015 | 3 | |
| 8 | 2015 | 0 | |
| 9 | 2011 | 349 | |
| 10 | 2010 | 14 | |
| 11 | 2009 | 19 | |
| 12 | 2008 | 2 | |
| 13 | Factoring local sequence composition in motif significance analysis. | 2008 | 3 |
| 14 | 2007 | 32 | |
| 15 | 2007 | 2 | |
| 16 | 2006 | 45 | |
| 17 | 2005 | 21 | |
| 18 | 2004 | 19 | |
| 19 | 2003 | 344 | |
| 20 | 2002 | 63 |
About Patrick P. Ng
Patrick P. Ng is a scholar working on Genetics, Immunology, Hematology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (2 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Insect Science (284 citations), Immunology (385 citations), Infectious Diseases (299 citations), Genetics (161 citations) and Aging (25 citations). Patrick P. Ng has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Angela E. Douglas, Ronald Levy, Debra K. Czerwinski, Holbrook E. Kohrt, Idit Sagiv-Barfi, Betty Chang, Manuel L. Penichet, Uri Keich, Sherie L. Morrison and Ai Ee Ling. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Research, Bioinformatics and Molecular Cancer Therapeutics.
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.