Mark Verheul

2.4k citations
29 papers · 1.7k · h-index 19

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • CRISPR and Genetic Engineering 3
    • Circular RNAs in diseases 2
    • Receptor Mechanisms and Signaling 2
    • Cancer Genomics and Diagnostics 10
    • MicroRNA in disease regulation 3

Mark Verheul

27 papers receiving 1.6k citations

Peers

Mark Verheul
Comparison fields: 5 of 99
  • Cancer Research 520
  • Behavioral Neuroscience 83
  • Biological Psychiatry 53
  • Cellular and Molecular Neuroscience 272
  • Molecular Biology 844
Replace Rime Madani with:
Rime Madani Switzerland
Xianjin Zhou United States
Enrica Audero Italy
Jinong Feng United States
José P. López‐Atalaya Spain
James M. Stafford United States
Ahmet Arslan United States
Joanna Dzwonek Poland
Si Ho Choi United States
Jesús Lascorz Germany
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Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by Mark Verheul

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Verheul Line = papers co-authored together Mark Verheul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006232
2 2007202
3 2008169
4 2018157
5 2006151
6 2006151
7 202292
8 200886
9 200660
10 202451
11 201247
12 200847
13 201246
14 200826
15 202125
16 202022
17 202218
18 202118
19 201018
20 200817

About Mark Verheul

Mark Verheul is a scholar working on Molecular Biology, Cancer Research, Hematology, Genetics and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Acute Myeloid Leukemia Research (4 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers), CRISPR and Genetic Engineering (3 papers), Circular RNAs in diseases (2 papers), Receptor Mechanisms and Signaling (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Cancer Research (520 citations), Behavioral Neuroscience (83 citations), Biological Psychiatry (53 citations), Cellular and Molecular Neuroscience (272 citations) and Molecular Biology (844 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, Berend Olivier, Judith R. Homberg, Bart Ellenbroek and Eugène Berezikov. Their work appears in journals such as BMC Genomics, Cell stem cell, Blood, Carcinogenesis and The Pharmacogenomics Journal.

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.

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