Isabelle Mathieu

21 papers receiving 986 citations

Peers

Isabelle Mathieu
Comparison fields: 5 of 90
  • Endocrinology 84
  • Radiology, Nuclear Medicine and Imaging 230
  • Horticulture 8
  • Oncology 225
  • Plant Science 270
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Damian Gaweł Poland
Jennifer D. Young United Kingdom
Shoji Kawasaki Japan
Toshiaki Nakano Japan
Olga Sidorkina France
Sunil K. Chatterjee United States
Joseph C. Aub United States
Matthew F. Brown United States
William D. Wright United States
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Countries citing papers authored by Isabelle Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003177
2 2009173
3 2008115
4 200496
5 200275
6 200367
7 199259
8 200456
9 200647
10 199344
11 199940
12
Inconclusive triple diagnosis in breast cancer imaging: is there a place for scintimammography?
200519
13 200416
14 201412
15 202011
16 19935
17
Effect of peptide amount on biodistribution of Y-86-DOTA-Tyr(3)-octreotide (SMT487).
20002
18 20102
19 20041
20 20151

About Isabelle Mathieu

Isabelle Mathieu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Head and Neck Cancer Studies (3 papers), Ear and Head Tumors (3 papers), Plant Virus Research Studies (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Advanced Radiotherapy Techniques (2 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Endocrinology (84 citations), Radiology, Nuclear Medicine and Imaging (230 citations), Horticulture (8 citations), Oncology (225 citations) and Plant Science (270 citations). Isabelle Mathieu has collaborated with scholars based in Belgium, Canada and France. Frequent co-authors include Éric Asselin, Jean‐François Laliberté, Sophie Cotton, Christine Ide, Karine Thivierge, Véronique Gagnon, Jean‐Marc Moulis, J Meyer, Sophie Parent and Romain Grangeon. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, International Journal of Radiation Oncology*Biology*Physics, Biochemical Journal, Health Physics and Bioorganic & Medicinal Chemistry Letters.

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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