Sofie Demeyer
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Acute Lymphoblastic Leukemia research
Papers in
-
- Acute Lymphoblastic Leukemia research 15
- Hematology 13
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 7
- Co-authors
- Jan Cools (29 shared papers)Mario Pickavet (12 shared papers)Pieter Audenaert (11 shared papers)Charles E. de Bock (13 shared papers)Ellen Geerdens (10 shared papers)Didier Colle (6 shared papers)Olga Gielen (16 shared papers)Piet Demeester (5 shared papers)
- Journals
- Blood (8 papers)Haematologica (5 papers)Leukemia (4 papers)Journal of Hematology & Oncology (2 papers)PLoS ONE (2 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Sofie Demeyer
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Hematology 298
- Public Health, Environmental and Occupational Health 339
- Genetics 103
- Cancer Research 141
- Oncology 211
Countries citing papers authored by Sofie Demeyer
This map shows the geographic impact of Sofie Demeyer'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 Sofie Demeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofie Demeyer more than expected).
Fields of papers citing papers by Sofie Demeyer
This network shows the impact of papers produced by Sofie Demeyer. 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 Sofie Demeyer. The network helps show where Sofie Demeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofie Demeyer, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 229 | |
| 2 | 2015 | 118 | |
| 3 | 2014 | 112 | |
| 4 | 2019 | 81 | |
| 5 | 2018 | 72 | |
| 6 | 2017 | 67 | |
| 7 | 2018 | 67 | |
| 8 | 2020 | 47 | |
| 9 | 2018 | 42 | |
| 10 | 2016 | 41 | |
| 11 | 2018 | 39 | |
| 12 | 2019 | 34 | |
| 13 | 2021 | 31 | |
| 14 | 2017 | 30 | |
| 15 | 2014 | 26 | |
| 16 | 2017 | 23 | |
| 17 | 2013 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2021 | 21 | |
| 20 | 2012 | 15 |
About Sofie Demeyer
Sofie Demeyer is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Molecular Biology, Immunology and Oncology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (15 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (7 papers), Data Management and Algorithms (4 papers), Transportation Planning and Optimization (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Hematology (298 citations), Public Health, Environmental and Occupational Health (339 citations), Genetics (103 citations), Cancer Research (141 citations) and Oncology (211 citations). Sofie Demeyer has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Jan Cools, Mario Pickavet, Pieter Audenaert, Charles E. de Bock, Ellen Geerdens, Didier Colle, Olga Gielen, Piet Demeester, Sandrine Degryse and Chris Develder. Their work appears in journals such as Blood, Haematologica, Leukemia, Journal of Hematology & Oncology and PLoS ONE.
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.