Charles Lemarignier

443 total citations
8 papers, 303 citations indexed

About

Charles Lemarignier is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles Lemarignier has authored 8 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles Lemarignier's work include Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Charles Lemarignier is often cited by papers focused on Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Charles Lemarignier collaborates with scholars based in France and United States. Charles Lemarignier's co-authors include David Groheux, Pascal Merlet, Laëtitia Vercellino, Marc Espié, Luís Teixeira, Antoine Martineau, S. Querellou, Estelle Blanc, Constance de Margerie‐Mellon and Gilles Quéré and has published in prestigious journals such as Breast Cancer Research, European Journal of Nuclear Medicine and Molecular Imaging and Frontiers in Medicine.

In The Last Decade

Charles Lemarignier

8 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charles Lemarignier France 5 221 147 66 48 39 8 303
Zongqiong Sun China 12 244 1.1× 125 0.9× 74 1.1× 14 0.3× 74 1.9× 36 334
Frederic Dietzel Germany 8 154 0.7× 160 1.1× 22 0.3× 35 0.7× 29 0.7× 22 278
Luca Errico Italy 10 164 0.7× 341 2.3× 63 1.0× 27 0.6× 51 1.3× 14 438
Gurdip Azad United Kingdom 11 330 1.5× 195 1.3× 31 0.5× 23 0.5× 106 2.7× 13 393
G.A. Jiménez Londoño Spain 9 156 0.7× 102 0.7× 28 0.4× 52 1.1× 27 0.7× 39 248
Vetri Sudar Jayaprakasam United States 10 196 0.9× 69 0.5× 104 1.6× 18 0.4× 194 5.0× 22 327
Janna Morawitz Germany 10 213 1.0× 110 0.7× 20 0.3× 45 0.9× 41 1.1× 27 293
Barbara Zangheri Italy 4 156 0.7× 51 0.3× 56 0.8× 40 0.8× 36 0.9× 7 285
Kaya Doyeux France 7 236 1.1× 98 0.7× 41 0.6× 12 0.3× 21 0.5× 14 288
Lorenzo Falcinelli Italy 10 102 0.5× 79 0.5× 47 0.7× 100 2.1× 61 1.6× 28 266

Countries citing papers authored by Charles Lemarignier

Since Specialization
Citations

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

Fields of papers citing papers by Charles Lemarignier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Lemarignier

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Lemarignier. A scholar is included among the top collaborators of Charles Lemarignier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Lemarignier. Charles Lemarignier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sarda‐Mantel, Laure, Kaoutar Jidar, Toni Alfaiate, et al.. (2021). [18F]FDG Positron Emission Tomography for Initial Staging and Healing Assessment at the End of Therapy in Lymph Nodes and Bone Tuberculosis. Frontiers in Medicine. 8. 715115–715115. 4 indexed citations
2.
Groheux, David, Antoine Martineau, Luís Teixeira, et al.. (2017). 18FDG-PET/CT for predicting the outcome in ER+/HER2- breast cancer patients: comparison of clinicopathological parameters and PET image-derived indices including tumor texture analysis. Breast Cancer Research. 19(1). 3–3. 63 indexed citations
3.
Lemarignier, Charles, Antoine Martineau, Luís Teixeira, et al.. (2017). Correlation between tumour characteristics, SUV measurements, metabolic tumour volume, TLG and textural features assessed with 18F-FDG PET in a large cohort of oestrogen receptor-positive breast cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 44(7). 1145–1154. 61 indexed citations
4.
Groheux, David, Gilles Quéré, Estelle Blanc, et al.. (2016). FDG PET-CT for solitary pulmonary nodule and lung cancer: Literature review. Diagnostic and Interventional Imaging. 97(10). 1003–1017. 96 indexed citations
5.
Calais, Jérémie, Bernard Dubray, S. Thureau, et al.. (2015). High FDG uptake areas on pre-radiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for locally advanced oesophageal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 42(6). 858–867. 33 indexed citations
6.
Lemarignier, Charles, Frédéric Di Fiore, Sébastien Hapdey, et al.. (2014). Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 41(11). 2008–2016. 44 indexed citations
7.
Hauville, Camille, Jérôme Caudron, Charles Lemarignier, et al.. (2014). Vascular steal from right ventricular metastasis of renal tumor: Insight from single source dual energy cardiac CT. Diagnostic and Interventional Imaging. 96(3). 305–306. 1 indexed citations
8.
Lemarignier, Charles, Romain Modzelewski, Tobias Fechter, et al.. (2014). Segmentation d’images de lésions cérébrales primitives en TEP FET : influence du volume de travail. Médecine Nucléaire. 38(6). 429–438. 1 indexed citations

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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2026