Chia-Huey Ooi
- Immunology top 2%
- Immune cells in cancer 5
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Oncology top 5%
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 4
- Molecular Biology top 10%
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
- Angiogenesis and VEGF in Cancer 3
- Pathology and Forensic Medicine top 10%
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- Burkholderia infections and melioidosis 3
- Co-authors
- Tatiana IvanovaPatrick TanMichele De PalmaDamya LaouiAnna KiialainenYvonne KienastMartina SchmittnaegelCarola H. Ries
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (2 papers)Blood (1 paper)
- Partner nations
- SwitzerlandGermanySingapore
In The Last Decade
Chia-Huey Ooi
31 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 921
- Cancer Research 558
- Oncology 828
- Molecular Biology 1.1k
- Pathology and Forensic Medicine 182
Countries citing papers authored by Chia-Huey Ooi
This map shows the geographic impact of Chia-Huey Ooi'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 Chia-Huey Ooi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Huey Ooi more than expected).
Fields of papers citing papers by Chia-Huey Ooi
This network shows the impact of papers produced by Chia-Huey Ooi. 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 Chia-Huey Ooi. The network helps show where Chia-Huey Ooi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chia-Huey Ooi, 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 | 2020 | 14 | |
| 2 | 2020 | 18 | |
| 3 | 2019 | 122 | |
| 4 | 2018 | 153 | |
| 5 | 2016 | 60 | |
| 6 | 2016 | 210 | |
| 7 | 2016 | 14 | |
| 8 | 2015 | 257 | |
| 9 | Environmental Surveillance for Potential Human Exposure to Burkholderia Pseudomallei Causing Melioidosis in Changing Land Use in East Malaysia | 2015 | 1 |
| 10 | 2014 | 7 | |
| 11 | 2013 | 13 | |
| 12 | 2012 | 80 | |
| 13 | 2011 | 172 | |
| 14 | 2011 | 26 | |
| 15 | 2011 | 31 | |
| 16 | 2007 | 2 | |
| 17 | 2006 | 23 | |
| 18 | Modeling microarray datasets for efficient feature selection | 2005 | 3 |
| 19 | 2004 | 46 | |
| 20 | 2002 | 187 |
About Chia-Huey Ooi
Chia-Huey Ooi is a scholar working on Immunology, Oncology and Cancer Research, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Gene expression and cancer classification (5 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Burkholderia infections and melioidosis (3 papers), Bioinformatics and Genomic Networks (3 papers), MicroRNA in disease regulation (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Immunology (921 citations), Cancer Research (558 citations) and Oncology (828 citations). Chia-Huey Ooi has collaborated with scholars based in Switzerland, Germany and Singapore. Frequent co-authors include Tatiana Ivanova, Patrick Tan, Michele De Palma, Damya Laoui, Anna Kiialainen, Yvonne Kienast, Martina Schmittnaegel, Patrick Tan, Carola H. Ries and Ece Kadioglu. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.
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.