Claire Lethrosne

912 citations
6 papers · 618 indexed · 1 hit paper · h-index 6
Topics
Lung Cancer Treatments and Mutations (4 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Cancer survivorship and care (2 papers)
Partner nations
FranceUnited States

In The Last Decade

Claire Lethrosne

6 papers receiving 610 citations

Hit Papers

Randomized Trial Comparing a Web-Mediated Follow-up With ...20172026202020232017100200300

Peers

Claire Lethrosne
Comparison fields: 5 of 80
  • Oncology 454
  • Pulmonary and Respiratory Medicine 155
  • Public Health, Environmental and Occupational Health 130
  • Pediatrics, Perinatology and Child Health 75
  • General Health Professions 74
Replace Kaiping Liao with:
Kaiping Liao United States
Nina N. Sanford United States
Anna Moseley United States
Jonathan D. Clapp United States
Brindha Pillay Australia
Prunella Blinman Australia
Annelies Janssens Belgium
M. Victoria Greenslade United Kingdom
Jennifer Shin United States
Ellen G. Engelhardt Netherlands
Claire Lethrosne relative to Kaiping Liao United States Kaiping Liao's profile →
Citations per field
00.5×2.8×
Kaiping Liao · 1×
Citations per year

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
#WorkIndexed citations
1 238
2 18
3
Randomized Trial Comparing a Web-Mediated Follow-up With Routine Surveillance in Lung Cancer Patientsbreakdown →
322
4 10
5 24
6 6

About Claire Lethrosne

Claire Lethrosne is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Health, having authored 6 papers that have together received 618 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Oncology (454 citations), Family Practice (16 citations) and Genetics (70 citations). Claire Lethrosne has collaborated with scholars based in France and United States. Frequent co-authors include Julien Dômont, N. Pourel, Olivier Molinier, Anne-Lise Septans, Hélène Senellart, Fabrice Denis, Y. Pointreau, Philippe Solal‐Céligny, Christophe Letellier and Hugues Bourgeois. Their work appears in journals such as Journal of Clinical Oncology, Neurology and JNCI Journal of the National Cancer Institute.

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