Éric Pichon

2.8k citations
70 papers · 896 indexed · h-index 16

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 28
    • Lung Cancer Diagnosis and Treatment 12
    • Cancer Immunotherapy and Biomarkers 9
    • Colorectal Cancer Treatments and Studies 9
    • Lung Cancer Research Studies 8

Éric Pichon

62 papers receiving 866 citations

Peers

Éric Pichon
Comparison fields: 5 of 108
  • Computational Mathematics 11
  • Pulmonary and Respiratory Medicine 356
  • Oncology 261
  • Neurology 121
  • Computer Vision and Pattern Recognition 145
Replace Na Zhang with:
Na Zhang China
Naama Bogot Israel
Jianbo Gao China
Christopher F. Beaulieu United States
Yongchang Zheng China
Hajime Nakata Japan
J. Titano United States
Daniela Origgi Italy
Isabelle Gardin France
T. Kumazaki Japan
Éric Pichon relative to Na Zhang China Na Zhang's profile →
Citations per field
00.5×6.5×
Na Zhang · 1×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200874
2 201168
3 200666
4 202060
5 201850
6 201647
7 201046
8 201744
9 200542
10 200435
11 201831
12 200431
13 201826
14 201725
15 201223
16 199917
17 201915
18 200415
19 201614
20 200814

About Éric Pichon

Éric Pichon is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Neurology and Epidemiology, having authored 70 papers that have together received 896 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (28 papers), Lung Cancer Diagnosis and Treatment (12 papers), Myasthenia Gravis and Thymoma (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Colorectal Cancer Treatments and Studies (9 papers), Lung Cancer Research Studies (8 papers), Pituitary Gland Disorders and Treatments (7 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computational Mathematics (11 citations), Pulmonary and Respiratory Medicine (356 citations), Oncology (261 citations), Neurology (121 citations) and Computer Vision and Pattern Recognition (145 citations). Éric Pichon has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Allen Tannenbaum, Sigurd Angenent, Marc Niethammer, Éric Dansin, Carl‐Fredrik Westin, Julien Mazières, Benjamin Besse, Gérard Zalcman, Guillermo Sapiro and Nicolas Girard. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, Journal of Clinical Oncology, Lung Cancer and International Journal of Computer Assisted Radiology and Surgery.

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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