Caitlyn Vlasschaert
- Hematology top 5%
- Acute Myeloid Leukemia Research 20
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 16
- Hemoglobinopathies and Related Disorders 8
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- Cancer Genomics and Diagnostics 6
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- Chronic Kidney Disease and Diabetes 4
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- Immune cells in cancer 4
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- Erythrocyte Function and Pathophysiology 3
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- Ubiquitin and proteasome pathways 3
- Co-authors
- Michael J. RauhDouglas A. GrayXuhua XiaAlexander G. BickPradeep NatarajanMatthew B. LanktreeJosée CoulombeMd Mesbah Uddin
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Nucleic Acids Research (1 paper)Circulation (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Caitlyn Vlasschaert
39 papers receiving 689 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Hematology 329
- Genetics 240
- Cancer Research 92
- Health Informatics 7
- Nephrology 26
Countries citing papers authored by Caitlyn Vlasschaert
This map shows the geographic impact of Caitlyn Vlasschaert'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 Caitlyn Vlasschaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlyn Vlasschaert more than expected).
Fields of papers citing papers by Caitlyn Vlasschaert
This network shows the impact of papers produced by Caitlyn Vlasschaert. 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 Caitlyn Vlasschaert. The network helps show where Caitlyn Vlasschaert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caitlyn Vlasschaert, 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 | 8 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 19 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 74 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 21 | |
| 16 | 2022 | 61 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 7 | |
| 19 | 2017 | 11 | |
| 20 | 2014 | 6 |
About Caitlyn Vlasschaert
Caitlyn Vlasschaert is a scholar working on Genetics, Hematology and Health Informatics, having authored 46 papers that have together received 699 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers), Hemoglobinopathies and Related Disorders (8 papers), Cancer Genomics and Diagnostics (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Immune cells in cancer (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (329 citations), Genetics (240 citations) and Cancer Research (92 citations). Caitlyn Vlasschaert has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Michael J. Rauh, Douglas A. Gray, Xuhua Xia, Alexander G. Bick, Pradeep Natarajan, Matthew B. Lanktree, Josée Coulombe, Md Mesbah Uddin, Christopher J. Gibson and Benjamin L. Ebert. Their work appears in journals such as Nucleic Acids Research, Circulation and Journal of Clinical Investigation.
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.