Phillip Wong
- Immunology top 0.5%
- Immunotherapy and Immune Responses 22
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 13
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 26
- CAR-T cell therapy research 8
- Cancer Research top 5%
- Hepatology top 5%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 5
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- Bladder and Urothelial Cancer Treatments 7
- Co-authors
- Eric G. PamerClifford J. SteerAlexander Y. RudenskyBetsy T. KrenFidel ZavalaKyung Ae KoDan R. LittmanRichard A. Lang
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Phillip Wong
85 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 3.2k
- Oncology 1.3k
- Cancer Research 555
- Hepatology 190
- Molecular Biology 1.5k
Countries citing papers authored by Phillip Wong
This map shows the geographic impact of Phillip 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 Phillip Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Wong more than expected).
Fields of papers citing papers by Phillip Wong
This network shows the impact of papers produced by Phillip 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 Phillip Wong. The network helps show where Phillip Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 5 | |
| 10 | 2019 | 49 | |
| 11 | 2016 | 141 | |
| 12 | 2014 | 111 | |
| 13 | 2005 | 94 | |
| 14 | 2004 | 47 | |
| 15 | 2004 | 29 | |
| 16 | 2003 | 12 | |
| 17 | A cross-sectional survey of bone densitometry in children on long term warfarin therapy. | 2002 | 1 |
| 18 | In Vivo Depletion of CD11c+ Dendritic Cells Abrogates Priming of CD8+ T Cells by Exogenous Cell-Associated Antigensbreakdown → | 2002 | 1421 |
| 19 | 2001 | 218 | |
| 20 | 2000 | 35 |
About Phillip Wong
Phillip Wong is a scholar working on Immunology, Structural Biology and Oncology, having authored 91 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (26 papers), Immunotherapy and Immune Responses (22 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (13 papers), CAR-T cell therapy research (8 papers), RNA Interference and Gene Delivery (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Immunology (3.2k citations), Oncology (1.3k citations) and Cancer Research (555 citations). Phillip Wong has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Eric G. Pamer, Clifford J. Steer, Alexander Y. Rudensky, Betsy T. Kren, Fidel Zavala, Kyung Ae Ko, Dan R. Littman, Richard A. Lang, Tim Sparwasser and Derya Unutmaz. Their work appears in journals such as Science, Nature Medicine and Nature Communications.
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.