Pascale De Paepe
- Pathology and Forensic Medicine top 2%
- Oncology top 10%
- Genetics top 5%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Iwona WłodarskaChristiane De Wolf‐PeetersChris De Wolf‐PeetersPeter VandenbergheGregor VerhoefPeter MarynenXavier SagaertLucienne Michaux
- Topics
- Lymphoma Diagnosis and Treatment (18 papers)Chronic Lymphocytic Leukemia Research (12 papers)Viral-associated cancers and disorders (6 papers)
- Partner nations
- BelgiumNetherlandsHungary
In The Last Decade
Pascale De Paepe
34 papers receiving 977 citations
Peers
Comparison fields: 5 of 58
- Pathology and Forensic Medicine 564
- Oncology 387
- Genetics 285
- Molecular Biology 268
- Immunology 233
Countries citing papers authored by Pascale De Paepe
This map shows the geographic impact of Pascale De Paepe'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 Pascale De Paepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale De Paepe more than expected).
Fields of papers citing papers by Pascale De Paepe
This network shows the impact of papers produced by Pascale De Paepe. 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 Pascale De Paepe. The network helps show where Pascale De Paepe may publish in the future.
Co-authorship network of co-authors of Pascale De Paepe
This figure shows the co-authorship network connecting the top 25 collaborators of Pascale De Paepe. A scholar is included among the top collaborators of Pascale De Paepe 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 Pascale De Paepe. Pascale De Paepe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 35 | |
| 9 | 11 | |
| 10 | 45 | |
| 11 | 38 | |
| 12 | 11 | |
| 13 | Array-CGH mapping of an overrepresented 7Q region in gamma/delta hepatosplenic T-cell lymphoma | 1 |
| 14 | A detailed inventory of DNA copy number alterations in four commonly used Hodgkin lymphoma cell lines | 1 |
| 15 | 26 | |
| 16 | 10 | |
| 17 | 83 | |
| 18 | Primary lymphoma of the cervix uteri: a diagnostic challenge. Report of two cases and review of the literature. | 17 |
| 19 | 55 | |
| 20 | 117 |
About Pascale De Paepe
Pascale De Paepe is a scholar working on Genetics, Pathology and Forensic Medicine and Nephrology, having authored 36 papers that have together received 999 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (564 citations), Genetics (285 citations) and Oncology (387 citations). Pascale De Paepe has collaborated with scholars based in Belgium, Netherlands and Hungary. Frequent co-authors include Iwona Włodarska, Christiane De Wolf‐Peeters, Chris De Wolf‐Peeters, Peter Vandenberghe, Gregor Verhoef, Peter Marynen, Xavier Sagaert, Lucienne Michaux, Vera Vanhentenrijk and Marleen Praet. Their work appears in journals such as Journal of Clinical Oncology, Blood 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.