Maarten Criel
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- Platelet Disorders and Treatments
Papers in
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- Platelet Disorders and Treatments 3
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- Long-Term Effects of COVID-19 2
- Co-authors
- Marc Hoylaerts (7 shared papers)Peter B. Verhamme (6 shared papers)Thomas Vanassche (5 shared papers)Christophe Vandenbriele (5 shared papers)Marleen Lox (4 shared papers)Laurens Liesenborghs (4 shared papers)Marijke Peetermans (3 shared papers)Jorien Claes (3 shared papers)
- Journals
- European Respiratory Journal (2 papers)International Journal of Molecular Sciences (2 papers)Cancers (2 papers)Respiratory Medicine (1 paper)BMJ Open (1 paper)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Maarten Criel
18 papers receiving 327 citations
Peers
Comparison fields: 5 of 48
- Internal Medicine 25
- Hematology 59
- Infectious Diseases 70
- Epidemiology 71
- Molecular Biology 48
Countries citing papers authored by Maarten Criel
This map shows the geographic impact of Maarten Criel'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 Maarten Criel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Criel more than expected).
Fields of papers citing papers by Maarten Criel
This network shows the impact of papers produced by Maarten Criel. 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 Maarten Criel. The network helps show where Maarten Criel may publish in the future.
Co-authors
The 25 scholars most cited alongside Maarten Criel, 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 | 2019 | 92 | |
| 2 | 2020 | 49 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 36 | |
| 5 | 2019 | 26 | |
| 6 | 2015 | 20 | |
| 7 | 2022 | 13 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 7 | |
| 11 | Shear-resistant binding to von Willebrand factor allows Staphylococcus lugdunensis to adhere to the cardiac valves and initiate endocarditis | 2015 | 6 |
| 12 | 2023 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Maarten Criel
Maarten Criel is a scholar working on Hematology, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Internal Medicine, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Platelet Disorders and Treatments (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cancer survivorship and care (2 papers), Long-Term Effects of COVID-19 (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Internal Medicine (25 citations), Hematology (59 citations), Infectious Diseases (70 citations), Epidemiology (71 citations) and Molecular Biology (48 citations). Maarten Criel has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Marc Hoylaerts, Peter B. Verhamme, Thomas Vanassche, Christophe Vandenbriele, Marleen Lox, Laurens Liesenborghs, Marijke Peetermans, Jorien Claes, Willy E. Peetermans and Michiel Thomeer. Their work appears in journals such as European Respiratory Journal, International Journal of Molecular Sciences, Cancers, Respiratory Medicine and BMJ Open.
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.