Bram De Wilde
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Neurology top 10%
- Neuroblastoma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 3
- Molecular Biology Techniques and Applications 3
- Epigenetics and DNA Methylation 3
- Neurology 14
- Neuroblastoma Research and Treatments 14
- Co-authors
- Jo Vandesompele (15 shared papers)Katleen De Preter (12 shared papers)Geneviève Laureys (10 shared papers)Nadine Van Roy (9 shared papers)Ann Cools (1 shared paper)Erik Witvrouw (1 shared paper)Nele Mahieu (1 shared paper)Maurits Boon (1 shared paper)
- Journals
- Pediatric Blood & Cancer (4 papers)PLoS ONE (3 papers)Epigenetics (3 papers)Genetics in Medicine (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- BelgiumNetherlandsFrance
In The Last Decade
Bram De Wilde
38 papers receiving 553 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 192
- Neurology 121
- Orthopedics and Sports Medicine 59
- Oncology 92
- Molecular Biology 219
Countries citing papers authored by Bram De Wilde
This map shows the geographic impact of Bram De Wilde'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 Bram De Wilde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram De Wilde more than expected).
Fields of papers citing papers by Bram De Wilde
This network shows the impact of papers produced by Bram De Wilde. 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 Bram De Wilde. The network helps show where Bram De Wilde may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram De Wilde, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2009 | 70 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 38 | |
| 5 | 2011 | 34 | |
| 6 | 2012 | 33 | |
| 7 | 2022 | 25 | |
| 8 | 2020 | 22 | |
| 9 | 2012 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2016 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 8 |
About Bram De Wilde
Bram De Wilde is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 40 papers that have together received 571 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (14 papers), Cancer Genomics and Diagnostics (9 papers), Cancer, Hypoxia, and Metabolism (5 papers), Lung Cancer Research Studies (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (3 papers), Molecular Biology Techniques and Applications (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (192 citations), Neurology (121 citations), Orthopedics and Sports Medicine (59 citations), Oncology (92 citations) and Molecular Biology (219 citations). Bram De Wilde has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Jo Vandesompele, Katleen De Preter, Geneviève Laureys, Nadine Van Roy, Ann Cools, Erik Witvrouw, Nele Mahieu, Maurits Boon, Tim Lammens and Ruben Van Paemel. Their work appears in journals such as Pediatric Blood & Cancer, PLoS ONE, Epigenetics, Genetics in Medicine and Journal of Clinical Oncology.
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.