Damiënne Marcus
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 1
- Oncology 5
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Philippe Lambin (11 shared papers)Ludwig J. Dubois (11 shared papers)R. Lieverse (6 shared papers)Ala Yaromina (9 shared papers)Alexander M.A. van der Wiel (4 shared papers)Jan Theys (8 shared papers)Cary Oberije (2 shared papers)Sebastian Sanduleanu (2 shared papers)
- Journals
- Cancers (3 papers)Radiotherapy and Oncology (3 papers)British Journal of Radiology (2 papers)Molecular Oncology (1 paper)Nature Medicine (1 paper)
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Damiënne Marcus
12 papers receiving 689 citations
Damiënne Marcus's Hit Papers
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 283
- Immunology 229
- Oncology 252
- Health Informatics 11
- Cancer Research 76
Countries citing papers authored by Damiënne Marcus
This map shows the geographic impact of Damiënne Marcus'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 Damiënne Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damiënne Marcus more than expected).
Fields of papers citing papers by Damiënne Marcus
This network shows the impact of papers produced by Damiënne Marcus. 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 Damiënne Marcus. The network helps show where Damiënne Marcus may publish in the future.
Co-authors
The 25 scholars most cited alongside Damiënne Marcus, 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 | Radiomics: from qualitative to quantitative imaging Hit paper breakdown → | 2020 | 224 |
| 2 | 2017 | 109 | |
| 3 | 2017 | 89 | |
| 4 | 2020 | 74 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2019 | 22 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 0 |
About Damiënne Marcus
Damiënne Marcus is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Biomedical Engineering, having authored 13 papers that have together received 699 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Nanoplatforms for cancer theranostics (3 papers), Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Research and Treatments (2 papers), Effects of Radiation Exposure (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (283 citations), Immunology (229 citations), Oncology (252 citations), Health Informatics (11 citations) and Cancer Research (76 citations). Damiënne Marcus has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Philippe Lambin, Ludwig J. Dubois, R. Lieverse, Ala Yaromina, Alexander M.A. van der Wiel, Jan Theys, Cary Oberije, Sebastian Sanduleanu, Sergey Primakov and Abdalla Ibrahim. Their work appears in journals such as Cancers, Radiotherapy and Oncology, British Journal of Radiology, Molecular Oncology 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.