Mark C. de Gooijer
- Genetics top 2%
- Glioma Diagnosis and Treatment 13
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 3
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 14
- Neurology top 5%
- Cancer Research top 10%
- MicroRNA in disease regulation 3
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- Cancer Mechanisms and Therapy 4
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- Epigenetics and DNA Methylation 3
- Chromatin Remodeling and Cancer 3
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- Microtubule and mitosis dynamics 3
- Co-authors
- Olaf van TellingenTom WürdingerPieter WesselingHelga E. de VriesBahar Yetkin-ArikJos H. BeijnenLevi C.M. BuilThomas Würdinger
- Cited by
- GeneticsBiomaterialsOncology
- Journals
- Neuro-Oncology (7 papers)Clinical Cancer Research (3 papers)Cell Reports Medicine (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mark C. de Gooijer
33 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Genetics 579
- Biomaterials 311
- Oncology 474
- Neurology 133
- Cancer Research 236
Countries citing papers authored by Mark C. de Gooijer
This map shows the geographic impact of Mark C. de Gooijer'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 C. de Gooijer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark C. de Gooijer more than expected).
Fields of papers citing papers by Mark C. de Gooijer
This network shows the impact of papers produced by Mark C. de Gooijer. 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 C. de Gooijer. The network helps show where Mark C. de Gooijer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark C. de Gooijer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 43 | |
| 12 | 2018 | 32 | |
| 13 | 2018 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 64 | |
| 17 | 2015 | 69 | |
| 18 | Overcoming the blood–brain tumor barrier for effective glioblastoma treatmentbreakdown → | 2015 | 764 |
| 19 | 2014 | 105 | |
| 20 | 2012 | 6 |
About Mark C. de Gooijer
Mark C. de Gooijer is a scholar working on Genetics, Structural Biology and Oncology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Glioma Diagnosis and Treatment (13 papers), Cancer Mechanisms and Therapy (4 papers), Epigenetics and DNA Methylation (3 papers), Chromatin Remodeling and Cancer (3 papers), Microtubule and mitosis dynamics (3 papers), MicroRNA in disease regulation (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Genetics (579 citations), Biomaterials (311 citations) and Oncology (474 citations). Mark C. de Gooijer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Olaf van Tellingen, Tom Würdinger, Pieter Wesseling, Helga E. de Vries, Bahar Yetkin-Arik, Jos H. Beijnen, Levi C.M. Buil, Thomas Würdinger, René Bernards and Ping Zhang. Their work appears in journals such as Neuro-Oncology, Clinical Cancer Research, Cell Reports Medicine, Investigational New Drugs and Science Advances.
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.