Brigitte Maes
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 30
- Cancer Immunotherapy and Biomarkers 11
- Viral-associated cancers and disorders 8
-
- Lymphoma Diagnosis and Treatment 24
- Genetic factors in colorectal cancer 7
- Co-authors
- Christiane De Wolf‐Peeters (7 shared papers)Peter Marynen (8 shared papers)Iwona Włodarska (12 shared papers)Anne Hagemeijer (6 shared papers)Chris De Wolf‐Peeters (7 shared papers)Marijke Raymaekers (1 shared paper)Reinoud Cartuyvels (2 shared papers)Jan Cools (3 shared papers)
- Journals
- Blood (9 papers)Annals of Oncology (6 papers)Lung Cancer (3 papers)American Journal Of Pathology (3 papers)Cancers (3 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Brigitte Maes
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Pathology and Forensic Medicine 935
- Genetics 372
- Oncology 658
- Neurology 204
- Cancer Research 195
Countries citing papers authored by Brigitte Maes
This map shows the geographic impact of Brigitte Maes'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 Brigitte Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Maes more than expected).
Fields of papers citing papers by Brigitte Maes
This network shows the impact of papers produced by Brigitte Maes. 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 Brigitte Maes. The network helps show where Brigitte Maes may publish in the future.
Co-authors
The 25 scholars most cited alongside Brigitte Maes, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 237 | |
| 2 | 2000 | 191 | |
| 3 | 2000 | 167 | |
| 4 | 2009 | 149 | |
| 5 | 2001 | 113 | |
| 6 | 2002 | 92 | |
| 7 | 1996 | 87 | |
| 8 | 2000 | 80 | |
| 9 | 2001 | 78 | |
| 10 | 2002 | 73 | |
| 11 | 2002 | 67 | |
| 12 | 2001 | 62 | |
| 13 | 2002 | 62 | |
| 14 | 2002 | 47 | |
| 15 | 2020 | 45 | |
| 16 | 2003 | 45 | |
| 17 | 2000 | 35 | |
| 18 | 2000 | 30 | |
| 19 | 1999 | 29 | |
| 20 | 2016 | 23 |
About Brigitte Maes
Brigitte Maes is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Cancer Genomics and Diagnostics (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Treatments and Mutations (9 papers), Viral-associated cancers and disorders (8 papers), Genetic factors in colorectal cancer (7 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (935 citations), Genetics (372 citations), Oncology (658 citations), Neurology (204 citations) and Cancer Research (195 citations). Brigitte Maes has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Christiane De Wolf‐Peeters, Peter Marynen, Iwona Włodarska, Anne Hagemeijer, Chris De Wolf‐Peeters, Marijke Raymaekers, Reinoud Cartuyvels, Jan Cools, Patrick Pauwels and Mathijs Baens. Their work appears in journals such as Blood, Annals of Oncology, Lung Cancer, American Journal Of Pathology and Cancers.
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.