Eline Beert
Impact in
- Neurology top 2%
- Neurofibromatosis and Schwannoma Cases
- Pathology and Forensic Medicine top 10%
- Soft tissue tumors and treatment
- Genetic factors in colorectal cancer
Papers in
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- Neurofibromatosis and Schwannoma Cases 8
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- Genetic factors in colorectal cancer 2
- Soft tissue tumors and treatment 1
- Co-authors
- Eric Legius (11 shared papers)Hilde Brems (10 shared papers)Thomy J.L. de Ravel (2 shared papers)Victor Mautner (5 shared papers)Thomas De Raedt (2 shared papers)Karen M. Cichowski (2 shared papers)Meena Upadhyaya (3 shared papers)Raf Sciot (7 shared papers)
- Journals
- Genes Chromosomes and Cancer (5 papers)Cancer Research (2 papers)The Lancet Oncology (1 paper)Environmental Science & Technology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Eline Beert
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Neurology 648
- Pathology and Forensic Medicine 97
- Genetics 36
- Molecular Biology 234
- Pulmonary and Respiratory Medicine 89
Countries citing papers authored by Eline Beert
This map shows the geographic impact of Eline Beert'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 Eline Beert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eline Beert more than expected).
Fields of papers citing papers by Eline Beert
This network shows the impact of papers produced by Eline Beert. 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 Eline Beert. The network helps show where Eline Beert may publish in the future.
Co-authors
The 25 scholars most cited alongside Eline Beert, 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 | 2014 | 375 | |
| 2 | 2009 | 266 | |
| 3 | 2011 | 198 | |
| 4 | 2009 | 109 | |
| 5 | 2016 | 64 | |
| 6 | 2010 | 45 | |
| 7 | 2013 | 45 | |
| 8 | 2013 | 29 | |
| 9 | 2012 | 26 | |
| 10 | 2012 | 21 | |
| 11 | 2009 | 12 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 7 | |
| 14 | Glomus tumors in neurofibromatosis type 1: genetic, functional, and clinical evidence of a novel association (vol 69, pg 7393, 2009) | 2009 | 6 |
About Eline Beert
Eline Beert is a scholar working on Neurology, Pathology and Forensic Medicine, Genetics, Cancer Research and Molecular Biology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (8 papers), Epigenetics and DNA Methylation (2 papers), Genetic factors in colorectal cancer (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Protein Tyrosine Phosphatases (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Cancer Genomics and Diagnostics (1 paper) and Soft tissue tumors and treatment (1 paper). The work is most often cited by research in Neurology (648 citations), Pathology and Forensic Medicine (97 citations), Genetics (36 citations), Molecular Biology (234 citations) and Pulmonary and Respiratory Medicine (89 citations). Eline Beert has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Eric Legius, Hilde Brems, Thomy J.L. de Ravel, Victor Mautner, Thomas De Raedt, Karen M. Cichowski, Meena Upadhyaya, Raf Sciot, Hildegard Kehrer‐Sawatzki and D. Wade Clapp. Their work appears in journals such as Genes Chromosomes and Cancer, Cancer Research, The Lancet Oncology, Environmental Science & Technology and PLoS Genetics.
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.