Mathijs Baens
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- NF-κB Signaling Pathways 14
- Immunology 19
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 5
- Co-authors
- Peter Marynen (41 shared papers)Iwona Włodarska (16 shared papers)Herman Van den Berghe (13 shared papers)Christiane De Wolf‐Peeters (10 shared papers)Judith Dierlamm (7 shared papers)Anne Hagemeijer (6 shared papers)DIETER KURT HOSSFELD (4 shared papers)Josiane Grosgeorge (4 shared papers)
- Journals
- Blood (13 papers)Genomics (7 papers)Leukemia (4 papers)Genes Chromosomes and Cancer (3 papers)PLoS ONE (3 papers)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Mathijs Baens
60 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 1.1k
- Genetics 695
- Hematology 728
- Pathology and Forensic Medicine 1.1k
- Immunology 1.3k
Countries citing papers authored by Mathijs Baens
This map shows the geographic impact of Mathijs Baens'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 Mathijs Baens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathijs Baens more than expected).
Fields of papers citing papers by Mathijs Baens
This network shows the impact of papers produced by Mathijs Baens. 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 Mathijs Baens. The network helps show where Mathijs Baens may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathijs Baens, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 597 | |
| 2 | 1997 | 419 | |
| 3 | 2008 | 380 | |
| 4 | 1996 | 220 | |
| 5 | 2009 | 201 | |
| 6 | 1993 | 180 | |
| 7 | 2000 | 175 | |
| 8 | 2003 | 160 | |
| 9 | 2000 | 154 | |
| 10 | 2011 | 132 | |
| 11 | Fusion of ETV6 to MDS1/EVI1 as a result of t(3;12)(q26;p13) in myeloproliferative disorders. | 1997 | 129 |
| 12 | 2006 | 128 | |
| 13 | 2007 | 84 | |
| 14 | 2000 | 82 | |
| 15 | 2007 | 80 | |
| 16 | 1996 | 79 | |
| 17 | 2014 | 65 | |
| 18 | 2006 | 61 | |
| 19 | 1998 | 56 | |
| 20 | A novel N-ras mutation in malignant melanoma is associated with excellent prognosis. | 2001 | 44 |
About Mathijs Baens
Mathijs Baens is a scholar working on Cancer Research, Immunology, Pathology and Forensic Medicine, Genetics and Hematology, having authored 61 papers that have together received 4.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), NF-κB Signaling Pathways (14 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Ubiquitin and proteasome pathways (7 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Genetics (695 citations), Hematology (728 citations), Pathology and Forensic Medicine (1.1k citations) and Immunology (1.3k citations). Mathijs Baens has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Peter Marynen, Iwona Włodarska, Herman Van den Berghe, Christiane De Wolf‐Peeters, Judith Dierlamm, Anne Hagemeijer, DIETER KURT HOSSFELD, Josiane Grosgeorge, Heidi Noels and Jesús María Hernández‐Rivas. Their work appears in journals such as Blood, Genomics, Leukemia, Genes Chromosomes and Cancer 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.