Mathijs Baens
Impact in
- Cancer Research top 1%
- NF-κB Signaling Pathways
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Ubiquitin and proteasome pathways 7
- Immunology 18
- Immune Cell Function and Interaction 7
- Co-authors
- Peter Marynen (39 shared papers)Iwona Włodarska (15 shared papers)Herman Van den Berghe (13 shared papers)Christiane De Wolf‐Peeters (10 shared papers)Pieter J. Peeters (5 shared papers)Judith Dierlamm (6 shared papers)Anne Hagemeijer (6 shared papers)Josiane Grosgeorge (4 shared papers)
- Journals
- Blood (13 papers)Genomics (7 papers)Genes Chromosomes and Cancer (3 papers)PLoS ONE (3 papers)Oncogene (2 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Mathijs Baens
57 papers receiving 3.8k citations
Mathijs Baens's Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 1.0k
- Hematology 709
- Genetics 584
- Immunology 1.2k
- Pathology and Forensic Medicine 932
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Apoptosis Inhibitor Gene API2 and a Novel 18q Gene,MLT, Are Recurrently Rearranged in the t(11;18)(q21;q21) Associated With Mucosa-Associated Lymphoid Tissue Lymphomas Hit paper breakdown → | 1999 | 531 |
| 2 | 1997 | 394 | |
| 3 | 2008 | 353 | |
| 4 | 1996 | 213 | |
| 5 | 2009 | 194 | |
| 6 | 1993 | 178 | |
| 7 | 2000 | 154 | |
| 8 | 2000 | 149 | |
| 9 | 2003 | 139 | |
| 10 | Fusion of ETV6 to MDS1/EVI1 as a result of t(3;12)(q26;p13) in myeloproliferative disorders. | 1997 | 121 |
| 11 | 2011 | 120 | |
| 12 | 2006 | 118 | |
| 13 | 1996 | 100 | |
| 14 | 2007 | 79 | |
| 15 | 2000 | 74 | |
| 16 | 2007 | 70 | |
| 17 | 1996 | 67 | |
| 18 | 2014 | 58 | |
| 19 | 2006 | 57 | |
| 20 | 1998 | 51 |
About Mathijs Baens
Mathijs Baens is a scholar working on Molecular Biology, Immunology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 57 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), NF-κB Signaling Pathways (13 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (8 papers), Ubiquitin and proteasome pathways (7 papers), Immune Cell Function and Interaction (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Cancer Research (1.0k citations), Hematology (709 citations), Genetics (584 citations), Immunology (1.2k citations) and Pathology and Forensic Medicine (932 citations). Mathijs Baens has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Peter Marynen, Iwona Włodarska, Herman Van den Berghe, Christiane De Wolf‐Peeters, Pieter J. Peeters, Judith Dierlamm, Anne Hagemeijer, Josiane Grosgeorge, Dieter K. Hossfeld and Heidi Noels. Their work appears in journals such as Blood, Genomics, Genes Chromosomes and Cancer, PLoS ONE and Oncogene.
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.