Claire Lethrosne

912 total citations · 1 hit paper
6 papers, 618 citations indexed

About

Claire Lethrosne is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Claire Lethrosne has authored 6 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Claire Lethrosne's work include Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Research Studies (2 papers). Claire Lethrosne is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Research Studies (2 papers). Claire Lethrosne collaborates with scholars based in France and United States. Claire Lethrosne's co-authors include Fabrice Denis, Olivier Molinier, Hugues Bourgeois, Hélène Senellart, T. Urban, Anne-Lise Septans, Y. Pointreau, N. Pourel, Julien Dômont and Philippe Solal‐Céligny and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Claire Lethrosne

6 papers receiving 610 citations

Hit Papers

Randomized Trial Comparin... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire Lethrosne France 6 454 155 130 75 74 6 618
Marianne Davies United States 14 482 1.1× 138 0.9× 110 0.8× 77 1.0× 46 0.6× 38 795
Annelies Janssens Belgium 18 360 0.8× 333 2.1× 82 0.6× 48 0.6× 42 0.6× 62 767
Gavin Taylor‐Stokes United Kingdom 17 453 1.0× 428 2.8× 121 0.9× 91 1.2× 63 0.9× 48 993
Kaiping Liao United States 12 164 0.4× 133 0.9× 145 1.1× 69 0.9× 70 0.9× 39 521
Nina N. Sanford United States 21 474 1.0× 402 2.6× 134 1.0× 103 1.4× 77 1.0× 113 1.2k
Efstathios Zikos Belgium 11 390 0.9× 179 1.2× 99 0.8× 94 1.3× 37 0.5× 17 622
Raymond Woo-Jun Jang Canada 13 445 1.0× 348 2.2× 200 1.5× 114 1.5× 35 0.5× 65 959
B. B. Reeve United States 3 344 0.8× 159 1.0× 123 0.9× 115 1.5× 43 0.6× 5 563
Divine Ediebah Netherlands 13 364 0.8× 264 1.7× 99 0.8× 90 1.2× 34 0.5× 21 818
Monica Krishnan United States 15 502 1.1× 289 1.9× 213 1.6× 46 0.6× 28 0.4× 48 951

Countries citing papers authored by Claire Lethrosne

Since Specialization
Citations

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

Fields of papers citing papers by Claire Lethrosne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Lethrosne

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

All Works

6 of 6 papers shown
1.
Touat, Mehdi, Thierry Maisonobe, Samuel Knauß, et al.. (2018). Immune checkpoint inhibitor-related myositis and myocarditis in patients with cancer. Neurology. 91(10). e985–e994. 238 indexed citations
2.
Denis, Fabrice, Ethan Basch, Claire Lethrosne, et al.. (2018). Randomized trial comparing a web-mediated follow-up via patient-reported outcomes (PRO) vs. routine surveillance in lung cancer patients: Final results.. Journal of Clinical Oncology. 36(15_suppl). 6500–6500. 18 indexed citations
3.
Denis, Fabrice, Claire Lethrosne, N. Pourel, et al.. (2017). Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patients. JNCI Journal of the National Cancer Institute. 109(9). 322 indexed citations breakdown →
4.
Denis, Fabrice, Claire Lethrosne, N. Pourel, et al.. (2016). Overall survival in patients with lung cancer using a web-application-guided follow-up compared to standard modalities: Results of phase III randomized trial.. Journal of Clinical Oncology. 34(15_suppl). LBA9006–LBA9006. 10 indexed citations
5.
Denis, Fabrice, Claire Lethrosne, N. Pourel, et al.. (2016). Overall survival in patients with lung cancer using a web-application-guided follow-up compared to standard modalities: Results of phase III randomized trial.. Journal of Clinical Oncology. 34(18_suppl). LBA9006–LBA9006. 24 indexed citations
6.
Cadranel, Jacques, Radj Gervais, P. Merle, et al.. (2015). Erlotinibversuscarboplatin and paclitaxel in advanced lepidic adenocarcinoma: IFCT-0504. European Respiratory Journal. 46(5). 1440–1450. 6 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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