Mathijs A. Sanders
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 39
- Acute Myeloid Leukemia Research 32
- Chronic Myeloid Leukemia Treatments 7
- Multiple Myeloma Research and Treatments 6
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- Epigenetics and DNA Methylation 9
- Protein Degradation and Inhibitors 5
- Co-authors
- Peter J.M. Valk (27 shared papers)Bob Löwenberg (19 shared papers)J. L. Salisbury (5 shared papers)Ruud Delwel (11 shared papers)Claudia Erpelinck-Verschueren (11 shared papers)Andre T. Baron (1 shared paper)Maarten Bijl (2 shared papers)Roel G.W. Verhaak (3 shared papers)
- Journals
- Blood (23 papers)Nature Communications (4 papers)Leukemia (4 papers)Cancer Research (3 papers)HemaSphere (3 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Mathijs A. Sanders
65 papers receiving 3.2k citations
Mathijs A. Sanders's Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 1.6k
- Genetics 572
- Cancer Research 704
- Molecular Biology 1.9k
- Immunology 362
Countries citing papers authored by Mathijs A. Sanders
This map shows the geographic impact of Mathijs A. Sanders'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 A. Sanders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathijs A. Sanders more than expected).
Fields of papers citing papers by Mathijs A. Sanders
This network shows the impact of papers produced by Mathijs A. Sanders. 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 A. Sanders. The network helps show where Mathijs A. Sanders may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathijs A. Sanders, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 437 | |
| 2 | 2010 | 262 | |
| 3 | 2019 | 218 | |
| 4 | 1988 | 211 | |
| 5 | 2012 | 185 | |
| 6 | Molecular characterization of mutant TP53 acute myeloid leukemia and high-risk myelodysplastic syndrome Hit paper breakdown → | 2022 | 159 |
| 7 | 2016 | 151 | |
| 8 | 1997 | 130 | |
| 9 | 2021 | 128 | |
| 10 | 2020 | 127 | |
| 11 | 2012 | 125 | |
| 12 | 2021 | 94 | |
| 13 | 2018 | 76 | |
| 14 | 2022 | 69 | |
| 15 | 2020 | 67 | |
| 16 | 2014 | 55 | |
| 17 | 2016 | 55 | |
| 18 | 1992 | 49 | |
| 19 | 2013 | 44 | |
| 20 | 2015 | 44 |
About Mathijs A. Sanders
Mathijs A. Sanders is a scholar working on Hematology, Molecular Biology, Cancer Research, Genetics and Immunology, having authored 75 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Cancer Genomics and Diagnostics (19 papers), Epigenetics and DNA Methylation (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Multiple Myeloma Research and Treatments (6 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (572 citations), Cancer Research (704 citations), Molecular Biology (1.9k citations) and Immunology (362 citations). Mathijs A. Sanders has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Peter J.M. Valk, Bob Löwenberg, J. L. Salisbury, Ruud Delwel, Claudia Erpelinck-Verschueren, Andre T. Baron, Maarten Bijl, Roel G.W. Verhaak, Wim van Putten and Chantal S. Goudswaard. Their work appears in journals such as Blood, Nature Communications, Leukemia, Cancer Research and HemaSphere.
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.