Onyee Chan
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in ⓘ
- Hematology 94
- Acute Myeloid Leukemia Research 78
- Chronic Myeloid Leukemia Treatments 29
- Genetics 55
- Myeloproliferative Neoplasms: Diagnosis and Treatment 34
- Chronic Lymphocytic Leukemia Research 19
- Co-authors
- Eric Padron (84 shared papers)Kendra Sweet (62 shared papers)Jeffrey E. Lancet (79 shared papers)Rami S. Komrokji (82 shared papers)David A. Sallman (83 shared papers)Ṭal Ilan (1 shared paper)Yih‐Chieh Chen (1 shared paper)Aaron M. Cypess (1 shared paper)
- Journals
- Blood (57 papers)Leukemia Research (4 papers)Leukemia (4 papers)Blood Advances (4 papers)Annals of Hematology (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Onyee Chan
96 papers receiving 930 citations
Peers
Comparison fields: 5 of 75
- Hematology 397
- Genetics 193
- Rehabilitation 93
- Physiology 263
- Oncology 147
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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 264 | |
| 2 | 2010 | 82 | |
| 3 | 2017 | 61 | |
| 4 | 2020 | 59 | |
| 5 | 2021 | 50 | |
| 6 | 2020 | 33 | |
| 7 | 2022 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2015 | 8 |
About Onyee Chan
Onyee Chan is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Emergency Medicine, having authored 115 papers that have together received 942 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (78 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (34 papers), Chronic Myeloid Leukemia Treatments (29 papers), Chronic Lymphocytic Leukemia Research (19 papers), Acute Lymphoblastic Leukemia research (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Eosinophilic Disorders and Syndromes (7 papers) and Histone Deacetylase Inhibitors Research (7 papers). The work is most often cited by research in Hematology (397 citations), Genetics (193 citations), Rehabilitation (93 citations), Physiology (263 citations) and Oncology (147 citations). Onyee Chan has collaborated with scholars based in United States, China and France. Frequent co-authors include Eric Padron, Kendra Sweet, Jeffrey E. Lancet, Rami S. Komrokji, David A. Sallman, Ṭal Ilan, Yih‐Chieh Chen, Aaron M. Cypess, Gerald M. Kolodny and Jeffrey English. Their work appears in journals such as Blood, Leukemia Research, Leukemia, Blood Advances and Annals of Hematology.
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.