Jamie Wong
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Atherosclerosis and Cardiovascular Diseases
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Immunology 11
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- Co-authors
- Christophe BenoıstDiane MathisMarkus FeuererLaura HerreroDaniela CipollettaAfia NaazSteven E. ShoelsonJongsoon Lee
- Journals
- Blood (4 papers)The Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Jamie Wong
22 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 1.5k
- Epidemiology 920
- Physiology 620
- Endocrine and Autonomic Systems 84
- Genetics 272
Countries citing papers authored by Jamie Wong
This map shows the geographic impact of Jamie 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 Jamie Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Wong more than expected).
Fields of papers citing papers by Jamie Wong
This network shows the impact of papers produced by Jamie 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 Jamie Wong. The network helps show where Jamie Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie 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 | 2025 | 1 | |
| 2 | 2018 | 2 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 1 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 1 | |
| 8 | 2012 | 113 | |
| 9 | 2011 | 1 | |
| 10 | 2010 | 56 | |
| 11 | Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters Hit paper breakdown → | 2009 | 1665 |
| 12 | 2007 | 10 | |
| 13 | 2007 | 67 | |
| 14 | 2003 | 11 | |
| 15 | Anticancer drug discovery and development throughout the world. | 2002 | 120 |
| 16 | 2000 | 26 | |
| 17 | 2000 | 17 | |
| 18 | 1998 | 8 | |
| 19 | 1998 | 129 | |
| 20 | 1997 | 64 |
About Jamie Wong
Jamie Wong is a scholar working on Biological Psychiatry, Immunology, Genetics, Oncology and Immunology and Allergy, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Synthesis and Biological Evaluation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Cancer therapeutics and mechanisms (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (1.5k citations), Epidemiology (920 citations), Physiology (620 citations), Endocrine and Autonomic Systems (84 citations) and Genetics (272 citations). Jamie Wong has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Christophe Benoıst, Diane Mathis, Markus Feuerer, Laura Herrero, Daniela Cipolletta, Afia Naaz, Steven E. Shoelson, Jongsoon Lee, Allison B. Goldfine and Ali Nayer. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine, Cancer Research 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.