Maya M.L. Poon
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
- Immune cells in cancer
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 1
- Reproductive System and Pregnancy 1
-
- Respiratory Support and Mechanisms 1
- Co-authors
- Donna L. Färber (6 shared papers)Peter A. Szabo (4 shared papers)Rei Matsumoto (4 shared papers)Masaru Kubota (4 shared papers)Yufeng Shen (2 shared papers)Pranay Dogra (3 shared papers)Takashi Senda (2 shared papers)Puspa Thapa (2 shared papers)
- Journals
- Nature Medicine (1 paper)iScience (1 paper)Genome Medicine (1 paper)Nature Immunology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesIsraelHungary
In The Last Decade
Maya M.L. Poon
6 papers receiving 518 citations
Peers
Comparison fields: 5 of 74
- Immunology 355
- Oncology 105
- Biological Psychiatry 7
- Virology 11
- Health, Toxicology and Mutagenesis 32
Countries citing papers authored by Maya M.L. Poon
This map shows the geographic impact of Maya M.L. Poon'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 Maya M.L. Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya M.L. Poon more than expected).
Fields of papers citing papers by Maya M.L. Poon
This network shows the impact of papers produced by Maya M.L. Poon. 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 Maya M.L. Poon. The network helps show where Maya M.L. Poon may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya M.L. Poon, 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 | 2020 | 287 | |
| 2 | 2023 | 88 | |
| 3 | 2022 | 62 | |
| 4 | 2021 | 41 | |
| 5 | 2020 | 39 | |
| 6 | 2022 | 6 |
About Maya M.L. Poon
Maya M.L. Poon is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Infectious Diseases, Molecular Biology and Neurology, having authored 6 papers that have together received 523 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Air Quality and Health Impacts (1 paper), Immunotherapy and Immune Responses (1 paper), Respiratory Support and Mechanisms (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (355 citations), Oncology (105 citations), Biological Psychiatry (7 citations), Virology (11 citations) and Health, Toxicology and Mutagenesis (32 citations). Maya M.L. Poon has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Donna L. Färber, Peter A. Szabo, Rei Matsumoto, Masaru Kubota, Yufeng Shen, Pranay Dogra, Takashi Senda, Puspa Thapa, Wenji Ma and Lewis L. Lanier. Their work appears in journals such as Nature Medicine, iScience, Genome Medicine, Nature Immunology and JCI Insight.
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.