Bram Maas

726 citations
12 papers · 616 · h-index 9

Impact in

Papers in

Bram Maas

12 papers receiving 608 citations

Peers

Bram Maas
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 263
  • Otorhinolaryngology 26
  • Cancer Research 87
  • Genetics 58
  • Pulmonary and Respiratory Medicine 130
Replace Suzuka Taki with:
Suzuka Taki Japan
H.-J. Wester Germany
Amy N. Melsaether United States
M.B. Parliament Canada
Eija Sutinen Finland
Xavier Maldonado Spain
A. Fernandes United States
Ahmad Almuhaideb United Kingdom
Guozi Yang China
Jennifer L. Wike United States
Bram Maas relative to Suzuka Taki Japan Suzuka Taki's profile →
Citations per field
00.5×3.6×
Suzuka Taki · 1×
Citations per year

Countries citing papers authored by Bram Maas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bram Maas Line = papers co-authored together Bram Maas links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Selectivity of 18F-FLT and 18F-FDG for differentiating tumor from inflammation in a rodent model.
2004226
2
18F-FLT PET for visualization of laryngeal cancer: comparison with 18F-FDG PET.
200488
3 200486
4
3'-18F-fluoro-3'-deoxy-L-thymidine: a new tracer for staging metastatic melanoma?
200362
5
Is 18F-3'-fluoro-3'-deoxy-L-thymidine useful for the staging and restaging of non-small cell lung cancer?
200454
6 201547
7 201418
8 200515
9 20168
10 20176
11 20175
12
Detection and differentiation of low and high grade sarcoma with FLT PET.
20031

About Bram Maas

Bram Maas is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biochemistry, Infectious Diseases and Genetics, having authored 12 papers that have together received 616 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer Research and Treatments (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Protein Degradation and Inhibitors (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (263 citations), Otorhinolaryngology (26 citations), Cancer Research (87 citations), Genetics (58 citations) and Pulmonary and Respiratory Medicine (130 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.

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