Martin van der Valk
- Molecular Biology top 2%
- Oncology top 0.5%
- Genetics top 2%
- Cancer Research top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Co-authors
- Anton BernsHein te RieleRalph MeuwissenJos JonkersEls C. Robanus-MaandagHanneke van der GuldenHans PeterseJos Domen
- Topics
- Cancer-related Molecular Pathways (7 papers)Drug Transport and Resistance Mechanisms (7 papers)Pharmacological Effects and Toxicity Studies (6 papers)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Martin van der Valk
45 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 4.0k
- Oncology 3.6k
- Genetics 820
- Cancer Research 703
- Pediatrics, Perinatology and Child Health 679
Countries citing papers authored by Martin van der Valk
This map shows the geographic impact of Martin van der Valk'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 Martin van der Valk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin van der Valk more than expected).
Fields of papers citing papers by Martin van der Valk
This network shows the impact of papers produced by Martin van der Valk. 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 Martin van der Valk. The network helps show where Martin van der Valk may publish in the future.
Co-authorship network of co-authors of Martin van der Valk
This figure shows the co-authorship network connecting the top 25 collaborators of Martin van der Valk. A scholar is included among the top collaborators of Martin van der Valk 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 Martin van der Valk. Martin van der Valk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 35 | |
| 3 | 49 | |
| 4 | 62 | |
| 5 | 108 | |
| 6 | 138 | |
| 7 | 58 | |
| 8 | 20 | |
| 9 | 113 | |
| 10 | 53 | |
| 11 | 30 | |
| 12 | 22 | |
| 13 | Synergistic tumor suppressor activity of BRCA2 and p53 in a conditional mouse model for breast cancerbreakdown → | 794 |
| 14 | 148 | |
| 15 | 32 | |
| 16 | 105 | |
| 17 | 28 | |
| 18 | 122 | |
| 19 | 135 | |
| 20 | Requirement for a functional Rb-1 gene in murine developmentbreakdown → | 840 |
About Martin van der Valk
Martin van der Valk is a scholar working on Oncology, Biotechnology and Pathology and Forensic Medicine, having authored 45 papers that have together received 6.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Oncology (3.6k citations), Molecular Biology (4.0k citations) and Cancer Research (703 citations). Martin van der Valk has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Anton Berns, Hein te Riele, Anton Berns, Ralph Meuwissen, Jos Jonkers, Els C. Robanus-Maandag, Hanneke van der Gulden, Hans Peterse, Jos Domen and Nathalie M. T. van der Lugt. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Medicine.
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.