M. Dusart

1.5k citations
11 papers · 1.2k · h-index 6

Impact in

Papers in

M. Dusart

11 papers receiving 1.2k citations

Peers

M. Dusart
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 901
  • Radiology, Nuclear Medicine and Imaging 461
  • Oncology 416
  • Cancer Research 168
  • Otorhinolaryngology 23
Replace Linda Wiens with:
Linda Wiens United States
Olga C.J. Schuurbiers Netherlands
Yoichi Kameda Japan
Xianshu Gao China
A.-R. Hanauske Germany
W. Torre Spain
Anthonie J. van der Wekken Netherlands
Mai Trong Khoa Vietnam
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Citations per field
00.5×1.5×1.9×
Linda Wiens · 1×
Citations per year

Countries citing papers authored by M. Dusart

Since Specialization
Citations

This map shows the geographic impact of M. Dusart'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 M. Dusart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dusart more than expected).

Fields of papers citing papers by M. Dusart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004457
2 2008418
3 2010210
4 200659
5 200645
6 200610
7
Detection of the tumor changes between two FDG PET scans using parametric imaging
20083
8 20082
9 20052
10
El valor de captacion estandarizado (SUVmax) del tumor primario medido con tomografia de emission de postrones con fluorodesoxiglucosa (FDG-PET) tiene valor pronostico para la supervivencia en el cancer de pulmon no microcitico (CPNMC): Una revision sistematica y metaanalisis (MA) del European Lung Cancer Working Party para el IASLC Lung Cancer Staging Project
20081
11
Parametric imaging for longitudinal monitoring of tumors in FDG PET
20081

About M. Dusart

M. Dusart is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Pharmacology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (901 citations), Radiology, Nuclear Medicine and Imaging (461 citations), Oncology (416 citations), Cancer Research (168 citations) and Otorhinolaryngology (23 citations). M. Dusart has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Thierry Berghmans, Céline Mascaux, Marianne Paesmans, Annick Haller, Jean‐Jacques Lafitte, Jean‐Paul Sculier, Claude Hossein-Foucher, Anne‐Pascale Meert, Arnaud Scherpereel and Martine Roelandts. Their work appears in journals such as Journal of Thoracic Oncology, British Journal of Cancer, European Respiratory Journal, Lung Cancer and Revue des Maladies Respiratoires.

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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