P. Mathijs Voorhoeve
- Molecular Biology top 2%
- Cancer Research top 1%
- Oncology top 2%
- Genetics top 5%
- Cell Biology top 5%
- Co-authors
- Reuven AgamiRené BernardsRoderick L. BeijersbergenRemco NagelCarlos le SageJarno DrostE. Marielle HijmansAlexander Griekspoor
- Topics
- MicroRNA in disease regulation (9 papers)Epigenetics and DNA Methylation (8 papers)Cancer-related molecular mechanisms research (7 papers)
- Partner nations
- SingaporeNetherlandsUnited States
In The Last Decade
P. Mathijs Voorhoeve
33 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.4k
- Cancer Research 1.7k
- Oncology 988
- Genetics 419
- Cell Biology 344
Countries citing papers authored by P. Mathijs Voorhoeve
This map shows the geographic impact of P. Mathijs Voorhoeve'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 P. Mathijs Voorhoeve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Mathijs Voorhoeve more than expected).
Fields of papers citing papers by P. Mathijs Voorhoeve
This network shows the impact of papers produced by P. Mathijs Voorhoeve. 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 P. Mathijs Voorhoeve. The network helps show where P. Mathijs Voorhoeve may publish in the future.
Co-authorship network of co-authors of P. Mathijs Voorhoeve
This figure shows the co-authorship network connecting the top 25 collaborators of P. Mathijs Voorhoeve. A scholar is included among the top collaborators of P. Mathijs Voorhoeve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Mathijs Voorhoeve. P. Mathijs Voorhoeve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | 94 | |
| 3 | 7 | |
| 4 | 74 | |
| 5 | 67 | |
| 6 | 65 | |
| 7 | 21 | |
| 8 | 172 | |
| 9 | 103 | |
| 10 | 16 | |
| 11 | 51 | |
| 12 | 162 | |
| 13 | 57 | |
| 14 | RNA-Binding Protein Dnd1 Inhibits MicroRNA Access to Target mRNAbreakdown → | 591 |
| 15 | 126 | |
| 16 | A Genetic Screen Implicates miRNA-372 and miRNA-373 As Oncogenes in Testicular Germ Cell Tumorsbreakdown → | 1023 |
| 17 | 220 | |
| 18 | 163 | |
| 19 | 27 | |
| 20 | 40 |
About P. Mathijs Voorhoeve
P. Mathijs Voorhoeve is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 33 papers that have together received 4.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (3.4k citations) and Oncology (988 citations). P. Mathijs Voorhoeve has collaborated with scholars based in Singapore, Netherlands and United States. Frequent co-authors include Reuven Agami, René Bernards, Roderick L. Beijersbergen, Remco Nagel, Carlos le Sage, Jarno Drost, E. Marielle Hijmans, Alexander Griekspoor, Eitan Zlotorynski and Leendert H. J. Looijenga. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.