Michael den Bakker
- Oncology top 5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Joachim G.J.V. AertsHenk C. HoogstedenArnold G. VultoJan W. GratamaPeter RiegmanBianca den HamerC.A.M. van der Velden-de GrootJun Hou
- Topics
- Lung Cancer Research Studies (4 papers)Neuroendocrine Tumor Research Advances (3 papers)Lung Cancer Diagnosis and Treatment (3 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- NetherlandsFranceItaly
In The Last Decade
Michael den Bakker
10 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Oncology 869
- Molecular Biology 750
- Pulmonary and Respiratory Medicine 352
- Immunology 244
- Cancer Research 242
Countries citing papers authored by Michael den Bakker
This map shows the geographic impact of Michael den Bakker'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 Michael den Bakker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael den Bakker more than expected).
Fields of papers citing papers by Michael den Bakker
This network shows the impact of papers produced by Michael den Bakker. 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 Michael den Bakker. The network helps show where Michael den Bakker may publish in the future.
Co-authorship network of co-authors of Michael den Bakker
This figure shows the co-authorship network connecting the top 25 collaborators of Michael den Bakker. A scholar is included among the top collaborators of Michael den Bakker 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 Michael den Bakker. Michael den Bakker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 157 | |
| 3 | 4 | |
| 4 | 65 | |
| 5 | Treatment of Metastatic Renal Cell Carcinoma With CAIX CAR-engineered T cells: Clinical Evaluation and Management of On-target Toxicitybreakdown → | 561 |
| 6 | 24 | |
| 7 | Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Predictionbreakdown → | 614 |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 136 |
About Michael den Bakker
Michael den Bakker is a scholar working on Neurology, Oncology and Biophysics, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (869 citations), Cancer Research (242 citations) and Immunology (244 citations). Michael den Bakker has collaborated with scholars based in Netherlands, France and Italy. Frequent co-authors include Joachim G.J.V. Aerts, Henk C. Hoogsteden, Arnold G. Vulto, Jan W. Gratama, Peter Riegman, Bianca den Hamer, C.A.M. van der Velden-de Groot, Jun Hou, Egbert Oosterwijk and Stefan Sleijfer. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer 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.