Éric Pichon

2.8k citations
75 papers · 979 · h-index 18

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 24
    • Lung Cancer Diagnosis and Treatment 10
    • Cancer Immunotherapy and Biomarkers 8
    • Colorectal Cancer Treatments and Studies 7
    • Lung Cancer Research Studies 7

Éric Pichon

67 papers receiving 946 citations

Peers

Éric Pichon
Comparison fields: 5 of 106
  • Computational Mathematics 12
  • Pulmonary and Respiratory Medicine 326
  • Neurology 125
  • Internal Medicine 25
  • Computer Vision and Pattern Recognition 175
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Na Zhang China
Shannon C. Agner United States
Christopher F. Beaulieu United States
Christopher F. Beaulieu United States
Walter F. Good United States
Albert Hsiao United States
Peter MacEneaney United States
Jihye Yun South Korea
Isabelle Gardin France
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Citations per field
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Citations per year

Countries citing papers authored by Éric Pichon

Since Specialization
Citations

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

Fields of papers citing papers by Éric Pichon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Pichon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Pichon Line = papers co-authored together Éric Pichon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200892
2 200676
3 201173
4 202061
5 201850
6 201649
7 201047
8 200546
9 201744
10 200439
11 201832
12 200432
13 201829
14 201726
15 201224
16 201617
17 199917
18 200417
19 201915
20 201715

About Éric Pichon

Éric Pichon is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Neurology, Surgery and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 979 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (24 papers), Myasthenia Gravis and Thymoma (12 papers), Lung Cancer Diagnosis and Treatment (10 papers), Medical Image Segmentation Techniques (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Lung Cancer Research Studies (7 papers) and Pituitary Gland Disorders and Treatments (6 papers). The work is most often cited by research in Computational Mathematics (12 citations), Pulmonary and Respiratory Medicine (326 citations), Neurology (125 citations), Internal Medicine (25 citations) and Computer Vision and Pattern Recognition (175 citations). Éric Pichon has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Allen Tannenbaum, Sigurd Angenent, John Melonakos, Carl‐Fredrik Westin, Éric Dansin, Marc Niethammer, Julien Mazières, Benjamin Besse, Guillermo Sapiro and Nicolas Girard. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology, Lung Cancer and European Respiratory Journal.

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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