Laura Leroy

1.8k total citations
8 papers, 36 citations indexed

About

Laura Leroy is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Laura Leroy has authored 8 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Laura Leroy's work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Laura Leroy is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Laura Leroy collaborates with scholars based in France and Spain. Laura Leroy's co-authors include Benjamin Besse, Benjamin Bonhomme, Solenn Brosseau, Caroline Caramella, J. Lahmar, David Planchard, Laurent Tessonnier, J.C. Soria, Clarisse Audigier-Valette and Virginie Westeel and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Cancers.

In The Last Decade

Laura Leroy

8 papers receiving 35 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Leroy France	3	28	18	5	5	4	8	36
Muhammad Saad Hamid United States	4	15 0.5×	19 1.1×	3 0.6×	6 1.2×	3 0.8×	10	36
Hwoei Fen Soo Hoo Malaysia	3	27 1.0×	14 0.8×	10 2.0×	8 1.6×	7 1.8×	4	37
Li‐Hsin Chien Taiwan	4	21 0.8×	10 0.6×	2 0.4×	5 1.0×	4 1.0×	5	34
Y. Runglodvatana Thailand	5	39 1.4×	24 1.3×	9 1.8×	12 2.4×	5 1.3×	9	49
Saad Tahir United Kingdom	4	23 0.8×	10 0.6×	2 0.4×	3 0.6×	5 1.3×	4	29
Anna Pous Spain	4	38 1.4×	19 1.1×	10 2.0×	5 1.0×	15 3.8×	7	61
Beatriz Rojas Spain	3	18 0.6×	7 0.4×	7 1.4×	5 1.0×	5 1.3×	7	30
Jade M. van Berge Henegouwen Netherlands	4	27 1.0×	18 1.0×	7 1.4×	5 1.0×	6 1.5×	12	40
José Fuentes Pradera Spain	4	33 1.2×	28 1.6×	4 0.8×	2 0.4×	5 1.3×	15	45
Jes Chauviere Lee United States	4	13 0.5×	16 0.9×	2 0.4×	2 0.4×	7 1.8×	8	28

Countries citing papers authored by Laura Leroy

Since Specialization

Citations

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

Fields of papers citing papers by Laura Leroy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Leroy

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

All Works

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8 of 8 papers shown

Palussière, Jean, Laura Leroy, Benjamin Bonhomme, et al.. (2024). Enhancing Immunotherapy Response Prediction in Metastatic Lung Adenocarcinoma: Leveraging Shallow and Deep Learning with CT-Based Radiomics across Single and Multiple Tumor Sites. Cancers. 16(13). 2491–2491. 1 indexed citations

Palussière, Jean, Laura Leroy, Benjamin Bonhomme, et al.. (2024). Single- and multi-site radiomics may improve overall survival prediction for patients with metastatic lung adenocarcinoma. Diagnostic and Interventional Imaging. 105(11). 439–452. 4 indexed citations

Verbeke, Stéphanie, Jean‐Philippe Guégan, Laura Leroy, et al.. (2023). Antitumor Effects of PRMT5 Inhibition in Sarcomas. Cancer Research Communications. 3(11). 2211–2220. 1 indexed citations

Italiano, Antoîne, Laura Leroy, Jean‐Philippe Guégan, et al.. (2023). TROP2 expression and response to immune checkpoint inhibition in patients with advanced non-small cell lung cancer.. Journal of Clinical Oncology. 41(16_suppl). 9040–9040. 2 indexed citations

Leroy, Laura, Capucine Baldini, Patricia Martín-Romano, et al.. (2019). Safety profile of epigenetic therapies in early phase trials: Do epidrugs deserve specific drug development processes?. Annals of Oncology. 30. i5–i5. 2 indexed citations

Ferrara, Roberto, Caroline Caramella, Matthieu Texier, et al.. (2017). Hyperprogressive disease (HPD) is frequent in non-small cell lung cancer (NSCLC) patients (pts) treated with anti PD1/PD-L1 monoclonal antibodies (IO). Annals of Oncology. 28. v464–v465. 19 indexed citations

Leroy, Laura, Julien Adam, Véronique Brouste, et al.. (2017). IDO-1 and PD-L1 predict response to immunotherapy in advanced non small cell lung cancer: An NGS and multiplex IHC analysis. Annals of Oncology. 28. v417–v417. 2 indexed citations

Mezquita, Laura, Édouard Auclin, Mélinda Charrier, et al.. (2017). The Lung Immune Prognostic Index (LIPI), a predictive score for immune checkpoint inhibitors in advanced non-small cell lung cancer (NSCLC) patients. Annals of Oncology. 28. v473–v473. 5 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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