F. Pilleul

1.4k citations
85 papers · 956 indexed · h-index 16
Topics
Advanced MRI Techniques and Applications (16 papers)MRI in cancer diagnosis (12 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of Hepatology

In The Last Decade

F. Pilleul

82 papers receiving 937 citations

Peers

F. Pilleul
Comparison fields: 5 of 86
  • Surgery 406
  • Pulmonary and Respiratory Medicine 233
  • Epidemiology 197
  • Radiology, Nuclear Medicine and Imaging 196
  • Oncology 172
Replace Fabio Pomerri with:
Fabio Pomerri Italy
Chandana Lall United States
Bogna Ziarkiewicz‐Wróblewska Poland
Temel Tirkes United States
F Harder Switzerland
Roberto Gasparri Italy
Nieun Seo South Korea
Frank Pilleul France
Makoto Yamada Japan
Sith Phongkitkarun Thailand
F. Pilleul relative to Fabio Pomerri Italy Fabio Pomerri's profile →
Citations per field
00.5×4.2×
Fabio Pomerri · 1×
Citations per year

Countries citing papers authored by F. Pilleul

Since Specialization
Citations

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

Fields of papers citing papers by F. Pilleul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Pilleul

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 12
4 18
5 9
6 1
7 6
8 28
9 26
10 3
11 14
12 109
13 5
14 4
15 8
16 0
17 3
18 13
19 3
20 6

About F. Pilleul

F. Pilleul is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 85 papers that have together received 956 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Hepatology (109 citations), Gastroenterology (63 citations) and Surgery (406 citations). F. Pilleul has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Olivier Beuf, Benjamin Leporq, Amine Bouhamama, Catherine Lombard‐Bohas, Alain Lachaux, Laurent Milot, Gilles Mithieux, Imane Kamaoui, Fabienne Rajas and Nicolas Mennesson. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Hepatology.

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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