Siew Cheng Wong
- Immunology top 0.5%
- Immune Cell Function and Interaction 18
- Immune cells in cancer 17
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 12
- Immune Response and Inflammation 7
- Oncology top 2%
- Cancer Cells and Metastasis 8
- Cancer Immunotherapy and Biomarkers 5
- Neurology top 5%
- Virology top 5%
- Infectious Diseases top 5%
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- 3D Printing in Biomedical Research 5
- Co-authors
- Kok Loon WongSiew‐Min OngWei Hseun YeapXiaohui SemPhilippe KourilskyKong‐Peng LamHan HaoWing C. Wong
- Cited by
- ImmunologyOncologyNeurology
- Journals
- The Journal of Immunology (8 papers)Scientific Reports (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Siew Cheng Wong
70 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 2.8k
- Oncology 1.3k
- Neurology 289
- Virology 128
- Infectious Diseases 488
Countries citing papers authored by Siew Cheng Wong
This map shows the geographic impact of Siew Cheng Wong'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 Siew Cheng Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siew Cheng Wong more than expected).
Fields of papers citing papers by Siew Cheng Wong
This network shows the impact of papers produced by Siew Cheng Wong. 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 Siew Cheng Wong. The network helps show where Siew Cheng Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Siew Cheng Wong, 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 | 2023 | 9 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 47 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 74 | |
| 6 | 2018 | 22 | |
| 7 | 2018 | 94 | |
| 8 | 2018 | 37 | |
| 9 | 2017 | 91 | |
| 10 | 2016 | 49 | |
| 11 | 2016 | 198 | |
| 12 | The three human monocyte subsets: implications for health and diseasebreakdown → | 2012 | 521 |
| 13 | Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsetsbreakdown → | 2011 | 806 |
| 14 | 2011 | 3 | |
| 15 | 2010 | 229 | |
| 16 | 2010 | 29 | |
| 17 | 2009 | 9 | |
| 18 | 2002 | 16 | |
| 19 | 2001 | 88 | |
| 20 | 2000 | 21 |
About Siew Cheng Wong
Siew Cheng Wong is a scholar working on Immunology, Virology and Immunology and Allergy, having authored 70 papers that have together received 5.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), Immune cells in cancer (17 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (12 papers), Cancer Cells and Metastasis (8 papers), Immune Response and Inflammation (7 papers), 3D Printing in Biomedical Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (1.3k citations) and Neurology (289 citations). Siew Cheng Wong has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Kok Loon Wong, Siew‐Min Ong, Wei Hseun Yeap, Xiaohui Sem, Philippe Kourilsky, Kong‐Peng Lam, Han Hao, Wing C. Wong, Je Lin Sieow and Roger D. Kamm. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Journal of Biological Chemistry, Frontiers in Immunology 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.