Bernard De Prijck
- Genetics top 10%
- Pathology and Forensic Medicine
- Hematology top 10%
- Oncology
- Neurology
- Co-authors
- Yves BéguinLaurence de LevalYuanping ZhouJacques BoniverMing‐Qing DuNancy L. HarrisPeter G. IsaacsonFrédéric Baron
- Topics
- Lymphoma Diagnosis and Treatment (9 papers)Chronic Lymphocytic Leukemia Research (6 papers)Multiple Myeloma Research and Treatments (6 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Bernard De Prijck
21 papers receiving 228 citations
Peers
Comparison fields: 5 of 35
- Genetics 105
- Pathology and Forensic Medicine 96
- Hematology 96
- Oncology 68
- Neurology 34
Countries citing papers authored by Bernard De Prijck
This map shows the geographic impact of Bernard De Prijck'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 Bernard De Prijck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard De Prijck more than expected).
Fields of papers citing papers by Bernard De Prijck
This network shows the impact of papers produced by Bernard De Prijck. 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 Bernard De Prijck. The network helps show where Bernard De Prijck may publish in the future.
Co-authorship network of co-authors of Bernard De Prijck
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard De Prijck. A scholar is included among the top collaborators of Bernard De Prijck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard De Prijck. Bernard De Prijck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | [What is new in the management of multiple myeloma]. | 1 |
| 6 | 4 | |
| 7 | Comparison of combined whole-body 18F-NAF and 18F-FDG PET/CT versus MRI for the detection of myeloma lesions | 1 |
| 8 | BHS Guidelines for the treatment of Burkitt’s lymphoma | 5 |
| 9 | Treatment of peripheral T-cell lymphomas: recommendations of the Belgian Hematological Society (BHS). | 0 |
| 10 | 9 | |
| 11 | 3 | |
| 12 | Panhypopituitarism and diabetus insipidus in a patient with primary central nervous system lymphoma | 0 |
| 13 | [Diffuse large B cell lymphoma: management in 2012]. | 1 |
| 14 | 1 | |
| 15 | Use of alemtuzumab in B cell chronic lymphocytic leukaemia (CLL) : Belgian recommendations | 0 |
| 16 | 17 | |
| 17 | 19 | |
| 18 | 13 | |
| 19 | 63 | |
| 20 | 28 |
About Bernard De Prijck
Bernard De Prijck is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 24 papers that have together received 230 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Genetics (105 citations), Hematology (96 citations) and Pathology and Forensic Medicine (96 citations). Bernard De Prijck has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Yves Béguin, Laurence de Leval, Yuanping Zhou, Jacques Boniver, Ming‐Qing Du, Nancy L. Harris, Peter G. Isaacson, Frédéric Baron, Christophe Bonnet and Jo Caers. Their work appears in journals such as Blood, The American Journal of Surgical Pathology and British Journal of Haematology.
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.