Brigitte Maes
Impact in
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- Lymphoma Diagnosis and Treatment
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 21
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- Cancer Genomics and Diagnostics 12
- Co-authors
- Christiane De Wolf‐Peeters (6 shared papers)Peter Marynen (7 shared papers)Iwona Włodarska (11 shared papers)Anne Hagemeijer (5 shared papers)Mathijs Baens (3 shared papers)Chris De Wolf‐Peeters (7 shared papers)Marijke Raymaekers (1 shared paper)Reinoud Cartuyvels (2 shared papers)
- Journals
- Blood (10 papers)Annals of Oncology (5 papers)Lung Cancer (3 papers)American Journal Of Pathology (3 papers)Cancers (3 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Brigitte Maes
67 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 90
- Pathology and Forensic Medicine 934
- Hematology 490
- Cancer Research 145
- Oncology 194
- Pulmonary and Respiratory Medicine 233
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 278 | |
| 2 | 2002 | 241 | |
| 3 | 2000 | 188 | |
| 4 | 2000 | 172 | |
| 5 | 2009 | 155 | |
| 6 | 2001 | 120 | |
| 7 | 2002 | 101 | |
| 8 | 2021 | 99 | |
| 9 | 1996 | 87 | |
| 10 | 2000 | 83 | |
| 11 | 2001 | 80 | |
| 12 | 2002 | 76 | |
| 13 | 2002 | 70 | |
| 14 | 2002 | 65 | |
| 15 | 2001 | 64 | |
| 16 | 2024 | 63 | |
| 17 | 2020 | 50 | |
| 18 | 2002 | 48 | |
| 19 | 2003 | 48 | |
| 20 | 2000 | 37 |
About Brigitte Maes
Brigitte Maes is a scholar working on Pathology and Forensic Medicine, Cancer Research, Hematology, Oncology and Genetics, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (7 papers), Multiple Myeloma Research and Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (934 citations), Hematology (490 citations), Cancer Research (145 citations), Oncology (194 citations) and Pulmonary and Respiratory Medicine (233 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, Mathijs Baens, Chris De Wolf‐Peeters, Marijke Raymaekers, Reinoud Cartuyvels, Jan Cools and Patrick Pauwels. 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.