May Q. Wong
- Immunology top 10%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Oncology top 10%
- Cancer Treatment and Pharmacology 4
- Transplantation top 10%
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- Radiopharmaceutical Chemistry and Applications 5
- Medical Imaging Techniques and Applications 4
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- Cancer, Hypoxia, and Metabolism 4
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- Click Chemistry and Applications 3
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- Cancer Research and Treatments 3
- Co-authors
- Megan K. LevingsDonald T. YappTheodore S. SteinerJens Vent‐SchmidtKuo‐Shyan LinDavid M. PerrinLaura CookHal M. Hoffman
- Cited by
- ImmunologyOncologyTransplantation
- Journals
- Cancer Research (3 papers)Gastroenterology (3 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
May Q. Wong
29 papers receiving 892 citations
Peers
Comparison fields: 5 of 91
- Immunology 290
- Oncology 332
- Transplantation 25
- Radiology, Nuclear Medicine and Imaging 146
- Cancer Research 87
Countries citing papers authored by May Q. Wong
This map shows the geographic impact of May Q. 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 May Q. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Q. Wong more than expected).
Fields of papers citing papers by May Q. Wong
This network shows the impact of papers produced by May Q. 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 May Q. Wong. The network helps show where May Q. Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside May Q. 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 | 2022 | 29 | |
| 2 | 2021 | 20 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 85 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 79 | |
| 9 | 2016 | 31 | |
| 10 | 2014 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2013 | 59 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 30 | |
| 15 | 2013 | 52 | |
| 16 | 2010 | 67 | |
| 17 | 2008 | 66 | |
| 18 | 2008 | 34 | |
| 19 | Vinorelbine liposomes injection results in greater tumor drug exposure compared to conventional vinorelbine in tumor-bearing nude mice | 2007 | 3 |
| 20 | Vincristine sulfate liposomes injection concentrates vincristine in tumor tissue and bone marrow of tumor-bearing mice | 2007 | 1 |
About May Q. Wong
May Q. Wong is a scholar working on Oncology, Cancer Research and Transplantation, having authored 30 papers that have together received 907 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), T-cell and B-cell Immunology (5 papers), Medical Imaging Techniques and Applications (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Treatment and Pharmacology (4 papers), Click Chemistry and Applications (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Immunology (290 citations), Oncology (332 citations) and Transplantation (25 citations). May Q. Wong has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Megan K. Levings, Donald T. Yapp, Theodore S. Steiner, Jens Vent‐Schmidt, Kuo‐Shyan Lin, David M. Perrin, Laura Cook, Hal M. Hoffman, Matthew D. McGeough and Yu Yao. Their work appears in journals such as Cancer Research, Gastroenterology, Molecular Cancer Therapeutics, Bioconjugate Chemistry and Nuclear Medicine and Biology.
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.