Laurent Dercle

7.4k total citations · 3 hit papers
127 papers, 5.0k citations indexed

About

Laurent Dercle is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laurent Dercle has authored 127 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Radiology, Nuclear Medicine and Imaging, 68 papers in Oncology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laurent Dercle's work include Radiomics and Machine Learning in Medical Imaging (59 papers), Cancer Immunotherapy and Biomarkers (34 papers) and Medical Imaging Techniques and Applications (23 papers). Laurent Dercle is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (59 papers), Cancer Immunotherapy and Biomarkers (34 papers) and Medical Imaging Techniques and Applications (23 papers). Laurent Dercle collaborates with scholars based in United States, France and Italy. Laurent Dercle's co-authors include Samy Ammari, Charles Ferté, Aurélien Marabelle, Éric Deutsch, Stéphane Champiat, Jean‐Charles Soria, Christophe Massard, Charlotte Robert, Antoine Hollebecque and Roger Sun and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Laurent Dercle

120 papers receiving 5.0k citations

Hit Papers

Hyperprogressive Disease ... 2016 2026 2019 2022 2016 2018 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laurent Dercle 2.8k 2.6k 1.6k 632 598 127 5.0k
Samy Ammari 1.9k 0.7× 2.7k 1.0× 1.4k 0.9× 465 0.7× 524 0.9× 114 4.6k
Charles Ferté 1.6k 0.6× 2.5k 1.0× 1.5k 1.0× 367 0.6× 617 1.0× 78 4.3k
Ye‐Xiong Li 975 0.3× 2.1k 0.8× 893 0.6× 255 0.4× 972 1.6× 283 4.5k
Catharina M.L. Zegers 4.5k 1.6× 956 0.4× 1.8k 1.1× 1.2k 1.9× 541 0.9× 56 5.5k
Erich P. Huang 1.7k 0.6× 974 0.4× 978 0.6× 315 0.5× 400 0.7× 38 3.1k
Andrew Quon 2.6k 0.9× 1.4k 0.6× 2.0k 1.3× 388 0.6× 675 1.1× 114 4.8k
William A. Hall 1.2k 0.4× 1.5k 0.6× 1.7k 1.1× 221 0.3× 750 1.3× 199 3.9k
Marius E. Mayerhoefer 2.6k 0.9× 863 0.3× 938 0.6× 636 1.0× 851 1.4× 140 4.4k
Ho Yun Lee 2.9k 1.0× 967 0.4× 4.2k 2.7× 559 0.9× 627 1.0× 192 5.7k
Christina Messiou 1.7k 0.6× 2.1k 0.8× 2.5k 1.6× 199 0.3× 597 1.0× 180 5.8k

Countries citing papers authored by Laurent Dercle

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Dercle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Dercle

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Dercle. A scholar is included among the top collaborators of Laurent Dercle 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 Laurent Dercle. Laurent Dercle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tordjman, Mickaël, Murat Yüce, Giuseppe Petralia, et al.. (2025). Comparison of MRI, [18F]FDG-PET/CT, and [18F]FDG-PET/MRI for Initial Staging of Multiple Myeloma. Clinical Nuclear Medicine. 50(11). 1006–1015.
2.
Beylergil, Volkan, Laura Collins, Lawrence H. Schwartz, et al.. (2025). Radiomic markers associated with clinical benefit in patients with radiographic progression of advanced uveal melanoma on tebentafusp. European Journal of Cancer. 220. 115386–115386. 1 indexed citations
3.
Schöffski, Patrick, Patricia LoRusso, Nobuyuki Yamamoto, et al.. (2024). 56O A phase Ia/Ib study of the MDM2-p53 antagonist brigimadlin (BI 907828): Safety and efficacy in patients with dedifferentiated liposarcoma. ESMO Open. 9. 102446–102446. 3 indexed citations
4.
Beddok, Arnaud, Mickaël Tordjman, Roger Sun, et al.. (2024). Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy. Pharmaceuticals. 17(2). 210–210. 8 indexed citations
5.
Das, Jeeban Paul, et al.. (2023). Novel Targets, Novel Treatments: The Changing Landscape of Non-Small Cell Lung Cancer. Cancers. 15(10). 2855–2855. 29 indexed citations
6.
Khalil, David, Samy Ammari, Egesta Lopci, et al.. (2023). Recent Advances in the Field of Artificial Intelligence for Precision Medicine in Patients with a Diagnosis of Metastatic Cutaneous Melanoma. Diagnostics. 13(22). 3483–3483. 3 indexed citations
7.
Capaccione, Kathleen M., Egesta Lopci, Jeeban Paul Das, et al.. (2023). More than Just Skin-Deep: A Review of Imaging’s Role in Guiding CAR T-Cell Therapy for Advanced Melanoma. Diagnostics. 13(5). 992–992. 4 indexed citations
8.
Toscano, F, Davide Golinelli, Helena Vila-Reyes, et al.. (2021). The Role of Cost-Effectiveness Analysis in Patient-Centered Cancer Care in the Era of Precision Medicine. Cancers. 13(17). 4272–4272. 2 indexed citations
9.
Ammari, Samy, Tarek Assi, Mehdi Touat, et al.. (2021). Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics. 11(7). 1263–1263. 14 indexed citations
11.
Éderhy, Stéphane, Joe‐Elie Salem, Laurent Dercle, et al.. (2021). Role of Cardiac Imaging in the Diagnosis of Immune Checkpoints Inhibitors Related Myocarditis. Frontiers in Oncology. 11. 640985–640985. 11 indexed citations
12.
Dercle, Laurent, Matthew Fronheiser, Lin Lü, et al.. (2020). Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics. Clinical Cancer Research. 26(9). 2151–2162. 128 indexed citations
13.
Maitland, Michael L., Julia Wilkerson, Binsheng Zhao, et al.. (2020). Enhanced Detection of Treatment Effects on Metastatic Colorectal Cancer with Volumetric CT Measurements for Tumor Burden Growth Rate Evaluation. Clinical Cancer Research. 26(24). 6464–6474. 26 indexed citations
14.
15.
Ahmed, Firas S., Laurent Dercle, Gregory Goldmacher, et al.. (2020). Comparing RECIST 1.1 and iRECIST in advanced melanoma patients treated with pembrolizumab in a phase II clinical trial. European Radiology. 31(4). 1853–1862. 15 indexed citations
16.
Girard, Antoine, Helena Vila-Reyes, Hiram Shaish, et al.. (2020). The Role of 18F-FDG PET/CT in Guiding Precision Medicine for Invasive Bladder Carcinoma. Frontiers in Oncology. 10. 565086–565086. 17 indexed citations
18.
Mekki, Ahmed, Laurent Dercle, Paul Lichtenstein, et al.. (2019). Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy. European Journal of Cancer. 119. 44–56. 31 indexed citations
19.
Champiat, Stéphane, Laurent Dercle, Samy Ammari, et al.. (2016). Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1. Clinical Cancer Research. 23(8). 1920–1928. 867 indexed citations breakdown →
20.
Cognet, Thomas, Laurent Dercle, D. Bastié, et al.. (2013). New concept of myocardial longitudinal strain reserve assessed by a dipyridamole infusion using 2D-strain echocardiography: the impact of diabetes and age, and the prognostic value. Cardiovascular Diabetology. 12(1). 84–84. 39 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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