Onyee Chan
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 96
- Acute Myeloid Leukemia Research 80
- Chronic Myeloid Leukemia Treatments 26
- Genetics 52
- Myeloproliferative Neoplasms: Diagnosis and Treatment 30
- Chronic Lymphocytic Leukemia Research 20
- Hemoglobinopathies and Related Disorders 6
- Co-authors
- Eric Padron (87 shared papers)Kendra Sweet (63 shared papers)Jeffrey E. Lancet (81 shared papers)Rami S. Komrokji (85 shared papers)David A. Sallman (88 shared papers)Ṭal Ilan (1 shared paper)Chetasi Talati (22 shared papers)Ke Wang (1 shared paper)
- Journals
- Blood (59 papers)Leukemia Research (4 papers)Journal of Clinical Oncology (4 papers)Blood Advances (4 papers)Leukemia (4 papers)
- Partner nations
- United StatesFranceHong Kong
In The Last Decade
Onyee Chan
100 papers receiving 987 citations
Peers
Comparison fields: 5 of 72
- Hematology 404
- Genetics 169
- Rehabilitation 78
- Physiology 258
- Oncology 132
Countries citing papers authored by Onyee Chan
This map shows the geographic impact of Onyee Chan'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 Onyee Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onyee Chan more than expected).
Fields of papers citing papers by Onyee Chan
This network shows the impact of papers produced by Onyee Chan. 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 Onyee Chan. The network helps show where Onyee Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Onyee Chan, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 269 | |
| 2 | 2010 | 86 | |
| 3 | 2017 | 67 | |
| 4 | 2020 | 64 | |
| 5 | 2021 | 50 | |
| 6 | 2020 | 35 | |
| 7 | 2022 | 28 | |
| 8 | 2018 | 24 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2021 | 9 |
About Onyee Chan
Onyee Chan is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 119 papers that have together received 999 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (80 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (30 papers), Chronic Myeloid Leukemia Treatments (26 papers), Chronic Lymphocytic Leukemia Research (20 papers), Acute Lymphoblastic Leukemia research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Histone Deacetylase Inhibitors Research (7 papers) and Hemoglobinopathies and Related Disorders (6 papers). The work is most often cited by research in Hematology (404 citations), Genetics (169 citations), Rehabilitation (78 citations), Physiology (258 citations) and Oncology (132 citations). Onyee Chan has collaborated with scholars based in United States, France and Hong Kong. Frequent co-authors include Eric Padron, Kendra Sweet, Jeffrey E. Lancet, Rami S. Komrokji, David A. Sallman, Ṭal Ilan, Chetasi Talati, Ke Wang, Matthew R. Palmer and Aaron M. Cypess. Their work appears in journals such as Blood, Leukemia Research, Journal of Clinical Oncology, Blood Advances and Leukemia.
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.