Ian Chin‐Yee
- Biochemistry top 0.5%
- Blood transfusion and management 26
- Hematology top 0.5%
- Blood groups and transfusion 12
- Acute Myeloid Leukemia Research 10
- Hematopoietic Stem Cell Transplantation 10
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 15
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
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- Lymphoma Diagnosis and Treatment 12
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- Erythrocyte Function and Pathophysiology 11
- Co-authors
- D. Robert SutherlandRakash NayarLori AndersonM. KeeneyMichael KeeneyWilliam J. SibbaldAlan TinmouthMark S. D'Almeida
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Ian Chin‐Yee
118 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biochemistry 923
- Hematology 1.6k
- Critical Care and Intensive Care Medicine 450
- Genetics 721
- Management of Technology and Innovation 226
Countries citing papers authored by Ian Chin‐Yee
This map shows the geographic impact of Ian Chin‐Yee'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 Ian Chin‐Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Chin‐Yee more than expected).
Fields of papers citing papers by Ian Chin‐Yee
This network shows the impact of papers produced by Ian Chin‐Yee. 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 Ian Chin‐Yee. The network helps show where Ian Chin‐Yee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian Chin‐Yee, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2011 | 21 | |
| 11 | 2010 | 19 | |
| 12 | 2007 | 72 | |
| 13 | 2003 | 19 | |
| 14 | 2003 | 77 | |
| 15 | 2001 | 172 | |
| 16 | 1998 | 66 | |
| 17 | 1998 | 1 | |
| 18 | 1997 | 17 | |
| 19 | 1997 | 54 | |
| 20 | 1996 | 8 |
About Ian Chin‐Yee
Ian Chin‐Yee is a scholar working on Hematology, Biochemistry, Genetics, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 127 papers that have together received 4.0k indexed citations. Recurring topics across this work include Blood transfusion and management (26 papers), Hemoglobinopathies and Related Disorders (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Lymphoma Diagnosis and Treatment (12 papers), Blood groups and transfusion (12 papers), Erythrocyte Function and Pathophysiology (11 papers), Acute Myeloid Leukemia Research (10 papers) and Hematopoietic Stem Cell Transplantation (10 papers). The work is most often cited by research in Biochemistry (923 citations), Hematology (1.6k citations), Critical Care and Intensive Care Medicine (450 citations), Genetics (721 citations) and Management of Technology and Innovation (226 citations). Ian Chin‐Yee has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include D. Robert Sutherland, Rakash Nayar, Lori Anderson, M. Keeney, Michael Keeney, William J. Sibbald, Alan Tinmouth, Mark S. D'Almeida, Julie Ho and Cyrus C. Hsia. Their work appears in journals such as Blood, Transfusion, Transfusion Medicine, Critical Care Medicine and Cytometry.
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.