Bram Maas
Impact in
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Medical Imaging Techniques and Applications 5
- Co-authors
- Philip H. Elsinga (8 shared papers)Albert J.H. Suurmeijer (6 shared papers)D. Cobben (5 shared papers)Harald J. Hoekstra (5 shared papers)Willem Vaalburg (4 shared papers)Pieter L. Jager (3 shared papers)Aren van Waarde (5 shared papers)Erik F. J. de Vries (3 shared papers)
- Journals
- Molecular Imaging and Biology (2 papers)Clinical Cancer Research (1 paper)Journal of Nuclear Medicine (1 paper)Nuclear Medicine and Biology (1 paper)CHEST Journal (1 paper)
- Partner nations
- NetherlandsBrazilSwitzerland
In The Last Decade
Bram Maas
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 349
- Genetics 94
- Cancer Research 115
- Otorhinolaryngology 29
- Pulmonary and Respiratory Medicine 193
Countries citing papers authored by Bram Maas
This map shows the geographic impact of Bram Maas'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 Bram Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Maas more than expected).
Fields of papers citing papers by Bram Maas
This network shows the impact of papers produced by Bram Maas. 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 Bram Maas. The network helps show where Bram Maas may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram Maas, 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 | Selectivity of 18F-FLT and 18F-FDG for differentiating tumor from inflammation in a rodent model. | 2004 | 216 |
| 2 | 18F-FLT PET for visualization of laryngeal cancer: comparison with 18F-FDG PET. | 2004 | 81 |
| 3 | 2004 | 81 | |
| 4 | 3'-18F-fluoro-3'-deoxy-L-thymidine: a new tracer for staging metastatic melanoma? | 2003 | 54 |
| 5 | Is 18F-3'-fluoro-3'-deoxy-L-thymidine useful for the staging and restaging of non-small cell lung cancer? | 2004 | 52 |
| 6 | 2015 | 47 | |
| 7 | 2005 | 15 | |
| 8 | 2014 | 13 | |
| 9 | 2016 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 4 | |
| 12 | Detection and differentiation of low and high grade sarcoma with FLT PET. | 2003 | 1 |
About Bram Maas
Bram Maas is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 578 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Advanced Chemical Sensor Technologies (1 paper), Bone Tumor Diagnosis and Treatments (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (349 citations), Genetics (94 citations), Cancer Research (115 citations), Otorhinolaryngology (29 citations) and Pulmonary and Respiratory Medicine (193 citations). Bram Maas has collaborated with scholars based in Netherlands, Brazil and Switzerland. Frequent co-authors include Philip H. Elsinga, Albert J.H. Suurmeijer, D. Cobben, Harald J. Hoekstra, Willem Vaalburg, Pieter L. Jager, Aren van Waarde, Erik F. J. de Vries, Piet L. Jager and Wim Vaalburg. Their work appears in journals such as Molecular Imaging and Biology, Clinical Cancer Research, Journal of Nuclear Medicine, Nuclear Medicine and Biology and CHEST Journal.
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.