SuFey Ong
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
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- Viral Infections and Immunology Research
- Cardiac Fibrosis and Remodeling
Papers in
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- Viral Infections and Immunology Research 8
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- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
- T-cell and B-cell Immunology 2
- Co-authors
- Daniela Čiháková (11 shared papers)Noel R. Rose (8 shared papers)Monica V. Talor (9 shared papers)Jobert G. Barin (9 shared papers)G. Christian Baldeviano (5 shared papers)Djahida Bedja (4 shared papers)Lei Wu (3 shared papers)Nicola Laura Diny (4 shared papers)
- Journals
- The Journal of Immunology (4 papers)Journal of Translational Medicine (2 papers)Journal of Clinical Oncology (2 papers)The Journal of Experimental Medicine (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- United StatesPeruItaly
In The Last Decade
SuFey Ong
19 papers receiving 778 citations
Peers
Comparison fields: 5 of 78
- Immunology 300
- Cardiology and Cardiovascular Medicine 290
- Oncology 151
- Rheumatology 72
- Obstetrics and Gynecology 30
Countries citing papers authored by SuFey Ong
This map shows the geographic impact of SuFey Ong'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 SuFey Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SuFey Ong more than expected).
Fields of papers citing papers by SuFey Ong
This network shows the impact of papers produced by SuFey Ong. 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 SuFey Ong. The network helps show where SuFey Ong may publish in the future.
Co-authors
The 25 scholars most cited alongside SuFey Ong, 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 | 2014 | 141 | |
| 2 | 2015 | 94 | |
| 3 | 2011 | 87 | |
| 4 | 2015 | 73 | |
| 5 | 2016 | 73 | |
| 6 | 2017 | 69 | |
| 7 | 2019 | 58 | |
| 8 | 2013 | 50 | |
| 9 | 2015 | 34 | |
| 10 | 2018 | 34 | |
| 11 | 2019 | 20 | |
| 12 | 2023 | 19 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2012 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2018 | 1 |
About SuFey Ong
SuFey Ong is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Oncology, Rheumatology and Cancer Research, having authored 19 papers that have together received 780 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (4 papers), Eosinophilic Disorders and Syndromes (4 papers), IL-33, ST2, and ILC Pathways (3 papers), T-cell and B-cell Immunology (2 papers) and Whipple's Disease and Interleukins (2 papers). The work is most often cited by research in Immunology (300 citations), Cardiology and Cardiovascular Medicine (290 citations), Oncology (151 citations), Rheumatology (72 citations) and Obstetrics and Gynecology (30 citations). SuFey Ong has collaborated with scholars based in United States, Peru and Italy. Frequent co-authors include Daniela Čiháková, Noel R. Rose, Monica V. Talor, Jobert G. Barin, G. Christian Baldeviano, Djahida Bedja, Lei Wu, Nicola Laura Diny, David A. Kass and Dongfeng Zheng. Their work appears in journals such as The Journal of Immunology, Journal of Translational Medicine, Journal of Clinical Oncology, The Journal of Experimental Medicine and European Journal of Immunology.
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.