T. Benoit

710 citations
7 papers · 574 · h-index 4

Impact in

Papers in

T. Benoit

6 papers receiving 546 citations

Peers

T. Benoit
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 264
  • Pulmonary and Respiratory Medicine 178
  • Cancer Research 71
  • Hepatology 31
  • Otorhinolaryngology 17
Replace Jacqueline Foidart-Willems with:
Jacqueline Foidart-Willems Belgium
Annick Van den Abbeele United States
S.L. Bacharach United States
G. Jerusalem Belgium
K Imazeki Japan
P. Faulhaber United States
Nielson Tse United States
Benedikt Gomez Germany
Lei Tang China
M. Feigen Australia
T. Benoit relative to Jacqueline Foidart-Willems Belgium Jacqueline Foidart-Willems's profile →
Citations per field
00.5×1.7×
Jacqueline Foidart-Willems · 1×
Citations per year

Countries citing papers authored by T. Benoit

Since Specialization
Citations

This map shows the geographic impact of T. Benoit'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 T. Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Benoit more than expected).

Fields of papers citing papers by T. Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Benoit. 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 T. Benoit. The network helps show where T. Benoit may publish in the future.

Co-authors

The 25 scholars most cited alongside T. Benoit, 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 T. Benoit Line = papers co-authored together T. Benoit links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1996411
2 1996142
3 199711
4 19967
5
Clinical value of whole body-body PET-FDG in the detection of liver metastases: preliminary results.
19961
6 19941
7 19971

About T. Benoit

T. Benoit is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 7 papers that have together received 574 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging and Pathology Studies (3 papers), Cardiac Imaging and Diagnostics (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Advanced MRI Techniques and Applications (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (264 citations), Pulmonary and Respiratory Medicine (178 citations), Cancer Research (71 citations), Hepatology (31 citations) and Otorhinolaryngology (17 citations). T. Benoit has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include P. Rigo, Patrick Paulus, Thierry Bury, R. Hustinx, G. Jerusalem, Bruno Kaschten, Jacqueline Foidart-Willems, Afshin Dowlati, M Radermecker and Corhay Jl. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Respiratory Journal, European Heart Journal, Birkhäuser Basel eBooks and Developments in cardiovascular 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.

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