Michelle Poon
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 15
- Oncology 15
- CAR-T cell therapy research 10
- Co-authors
- Partow Kebriaei (4 shared papers)Liang Piu Koh (12 shared papers)Yen Lin Chee (7 shared papers)Richard E. Champlin (4 shared papers)Celina Ledesma (4 shared papers)Chitra Hosing (2 shared papers)Julian W. Tang (1 shared paper)Jonathan E. Brammer (2 shared papers)
- Journals
- Blood (15 papers)Bone Marrow Transplantation (4 papers)Hematological Oncology (2 papers)Journal of Medical Virology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
Michelle Poon
32 papers receiving 232 citations
Peers
Comparison fields: 5 of 33
- Hematology 101
- Pathology and Forensic Medicine 74
- Oncology 103
- Genetics 33
- Internal Medicine 9
Countries citing papers authored by Michelle Poon
This map shows the geographic impact of Michelle 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 Michelle Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Poon more than expected).
Fields of papers citing papers by Michelle Poon
This network shows the impact of papers produced by Michelle 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 Michelle Poon. The network helps show where Michelle Poon may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2015 | 28 | |
| 3 | 2022 | 24 | |
| 4 | 2020 | 16 | |
| 5 | 2022 | 12 | |
| 6 | 2011 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2011 | 10 | |
| 9 | 2014 | 9 | |
| 10 | 2009 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2015 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2008 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2019 | 3 |
About Michelle Poon
Michelle Poon is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Public Health, Environmental and Occupational Health and Genetics, having authored 38 papers that have together received 236 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Acute Lymphoblastic Leukemia research (11 papers), CAR-T cell therapy research (10 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (101 citations), Pathology and Forensic Medicine (74 citations), Oncology (103 citations), Genetics (33 citations) and Internal Medicine (9 citations). Michelle Poon has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Partow Kebriaei, Liang Piu Koh, Yen Lin Chee, Richard E. Champlin, Celina Ledesma, Chitra Hosing, Julian W. Tang, Jonathan E. Brammer, Richard T. Maziarz and Sameh Gaballa. Their work appears in journals such as Blood, Bone Marrow Transplantation, Hematological Oncology, Journal of Medical Virology and Annals of Oncology.
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.