Mark Verheul
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Behavioral Neuroscience top 5%
Papers in
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- CRISPR and Genetic Engineering 4
- Single-cell and spatial transcriptomics 3
- Receptor Mechanisms and Signaling 3
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- Cancer Genomics and Diagnostics 10
- MicroRNA in disease regulation 3
- Co-authors
- Edwin Cuppen (15 shared papers)Victor Guryev (7 shared papers)José van de Belt (4 shared papers)Ronald H.A. Plasterk (3 shared papers)Ruben van Boxtel (15 shared papers)Bart M. G. Smits (4 shared papers)Eugène Berezikov (2 shared papers)Judith R. Homberg (3 shared papers)
- Journals
- BMC Genomics (3 papers)iScience (1 paper)Nature Genetics (1 paper)Cancer Cell (1 paper)Cell Genomics (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Mark Verheul
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 556
- Behavioral Neuroscience 88
- Biological Psychiatry 58
- Cellular and Molecular Neuroscience 260
- Molecular Biology 928
Countries citing papers authored by Mark Verheul
This map shows the geographic impact of Mark Verheul'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 Mark Verheul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Verheul more than expected).
Fields of papers citing papers by Mark Verheul
This network shows the impact of papers produced by Mark Verheul. 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 Mark Verheul. The network helps show where Mark Verheul may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Verheul, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 228 | |
| 2 | 2007 | 186 | |
| 3 | 2008 | 167 | |
| 4 | 2018 | 151 | |
| 5 | 2006 | 146 | |
| 6 | 2006 | 140 | |
| 7 | 2022 | 88 | |
| 8 | 2008 | 81 | |
| 9 | 2006 | 57 | |
| 10 | 2012 | 47 | |
| 11 | 2012 | 46 | |
| 12 | 2008 | 42 | |
| 13 | 2024 | 39 | |
| 14 | 2008 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2021 | 18 | |
| 18 | 2010 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2008 | 16 |
About Mark Verheul
Mark Verheul is a scholar working on Molecular Biology, Cancer Research, Genetics, Hematology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Acute Myeloid Leukemia Research (5 papers), CRISPR and Genetic Engineering (4 papers), MicroRNA in disease regulation (3 papers), Single-cell and spatial transcriptomics (3 papers), Receptor Mechanisms and Signaling (3 papers), Genomics and Rare Diseases (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (556 citations), Behavioral Neuroscience (88 citations), Biological Psychiatry (58 citations), Cellular and Molecular Neuroscience (260 citations) and Molecular Biology (928 citations). Mark Verheul has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Edwin Cuppen, Victor Guryev, José van de Belt, Ronald H.A. Plasterk, Ruben van Boxtel, Bart M. G. Smits, Eugène Berezikov, Judith R. Homberg, Berend Olivier and Bart Ellenbroek. Their work appears in journals such as BMC Genomics, iScience, Nature Genetics, Cancer Cell and Cell Genomics.
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.