Willem J. van Dijk
- Molecular Biology top 1%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 2%
- Insect Science top 1%
- Pharmacology top 2%
- Co-authors
- Titia K. SixmaAugust B. SmitKatjuša BrejcRemco V. KlaassenJohn van der OostPatrick H. N. CelieSarah E. van Rossum-FikkertFrancesca Mattiroli
- Topics
- Ubiquitin and proteasome pathways (16 papers)Cancer-related Molecular Pathways (6 papers)Peptidase Inhibition and Analysis (5 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Willem J. van Dijk
24 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 4.0k
- Oncology 707
- Cellular and Molecular Neuroscience 647
- Insect Science 445
- Pharmacology 355
Countries citing papers authored by Willem J. van Dijk
This map shows the geographic impact of Willem J. van Dijk'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 Willem J. van Dijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem J. van Dijk more than expected).
Fields of papers citing papers by Willem J. van Dijk
This network shows the impact of papers produced by Willem J. van Dijk. 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 Willem J. van Dijk. The network helps show where Willem J. van Dijk may publish in the future.
Co-authorship network of co-authors of Willem J. van Dijk
This figure shows the co-authorship network connecting the top 25 collaborators of Willem J. van Dijk. A scholar is included among the top collaborators of Willem J. van Dijk 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 Willem J. van Dijk. Willem J. van Dijk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 43 | |
| 3 | 150 | |
| 4 | 30 | |
| 5 | 101 | |
| 6 | 79 | |
| 7 | 43 | |
| 8 | RNF168 Ubiquitinates K13-15 on H2A/H2AX to Drive DNA Damage Signalingbreakdown → | 519 |
| 9 | 174 | |
| 10 | 171 | |
| 11 | 87 | |
| 12 | 9 | |
| 13 | 181 | |
| 14 | 167 | |
| 15 | 169 | |
| 16 | Nicotine and Carbamylcholine Binding to Nicotinic Acetylcholine Receptors as Studied in AChBP Crystal Structuresbreakdown → | 676 |
| 17 | Crystal structure of an ACh-binding protein reveals the ligand-binding domain of nicotinic receptorsbreakdown → | 1473 |
| 18 | 6 | |
| 19 | 19 | |
| 20 | 62 |
About Willem J. van Dijk
Willem J. van Dijk is a scholar working on Oncology, Molecular Biology and Parasitology, having authored 24 papers that have together received 4.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (6 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Insect Science (445 citations) and Cellular and Molecular Neuroscience (647 citations). Willem J. van Dijk has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Titia K. Sixma, August B. Smit, Katjuša Brejc, Remco V. Klaassen, John van der Oost, Patrick H. N. Celie, Sarah E. van Rossum-Fikkert, Francesca Mattiroli, Huib Ovaa and Puck Knipscheer. Their work appears in journals such as Nature, Cell 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.