Benoît Guibert

1.5k total citations
51 papers, 1.0k citations indexed

About

Benoît Guibert is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Benoît Guibert has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 14 papers in Oncology and 9 papers in Surgery. Recurrent topics in Benoît Guibert's work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Pleural and Pulmonary Diseases (5 papers). Benoît Guibert is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (7 papers) and Pleural and Pulmonary Diseases (5 papers). Benoît Guibert collaborates with scholars based in France, Australia and Mali. Benoît Guibert's co-authors include N. Freymond, Sylvie Isaac, Yves Pachéco, Serge Lebecque, Ivan Perrot, Dominique Blanchard, Joëlle Siat, Henri Porte, Alain Wurtz and Alain Bernard and has published in prestigious journals such as The Journal of Immunology, British Journal of Cancer and Genome biology.

In The Last Decade

Benoît Guibert

44 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Guibert France 14 330 289 272 218 178 51 1.0k
Alessio Annovazzi Italy 19 255 0.8× 272 0.9× 223 0.8× 137 0.6× 28 0.2× 56 937
Ryo Wada Japan 20 321 1.0× 416 1.4× 437 1.6× 68 0.3× 78 0.4× 140 1.2k
Luisa Delsedime Italy 18 384 1.2× 274 0.9× 261 1.0× 63 0.3× 99 0.6× 64 1.1k
Helen P. Cathro United States 21 357 1.1× 486 1.7× 253 0.9× 168 0.8× 48 0.3× 47 1.5k
Giacomo Borgonovo Italy 19 157 0.5× 527 1.8× 263 1.0× 128 0.6× 48 0.3× 62 1.1k
Kazuhiro Nagayama Japan 21 585 1.8× 324 1.1× 346 1.3× 168 0.8× 52 0.3× 70 1.2k
Gerd Schueller Austria 19 130 0.4× 322 1.1× 156 0.6× 139 0.6× 28 0.2× 43 1.0k
Mary R. Schwartz United States 21 284 0.9× 454 1.6× 416 1.5× 62 0.3× 132 0.7× 83 1.3k
Angela De Paoli Italy 17 330 1.0× 188 0.7× 237 0.9× 52 0.2× 89 0.5× 28 858
Narendranath Epperla United States 17 94 0.3× 116 0.4× 452 1.7× 187 0.9× 142 0.8× 147 1.0k

Countries citing papers authored by Benoît Guibert

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Guibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Guibert

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Guibert. A scholar is included among the top collaborators of Benoît Guibert 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 Benoît Guibert. Benoît Guibert 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
1.
Marchet, Camille, Benoît Guibert, Anthony Boureux, et al.. (2025). A strong internal promoter drives massive expression of YEATS‐domain devoid MLLT3 transcripts in HSC and most lethal AML. Cancer Communications. 45(3). 380–385.
2.
Guibert, Benoît, Louis Dagneaux, Thérèse Commes, et al.. (2025). The ganglioside GD3 and its synthase (ST8SIA1) as novel senescence markers associated with osteoarthritis. GeroScience. 48(2). 2013–2027.
3.
Reboul, Jérôme, Anthony Boureux, Benoît Guibert, et al.. (2024). Effective requesting method to detect fusion transcripts in chronic myelomonocytic leukemia RNA-seq. NAR Genomics and Bioinformatics. 6(3). lqae117–lqae117.
4.
Guibert, Benoît, Anthony Boureux, Rayan Chikhi, et al.. (2024). Transipedia.org: k-mer-based exploration of large RNA sequencing datasets and application to cancer data. Genome biology. 25(1). 266–266. 1 indexed citations
5.
Guibert, Benoît, Anne-Laure Bougé, Anthony Boureux, et al.. (2021). Kmerator Suite: design of specific k -mer signatures and automatic metadata discovery in large RNA-seq datasets. NAR Genomics and Bioinformatics. 3(3). lqab058–lqab058. 7 indexed citations
6.
Digabel, Jimmy Le, et al.. (2018). Joint segmentation and characterization of the dermis in 50 MHz ultrasound 2D and 3D images of the skin. Computers in Biology and Medicine. 103. 277–286. 21 indexed citations
7.
Bougé, Anne-Laure, et al.. (2018). RNA-Seq Analysis to Detect Abnormal Fusion Transcripts Linked to Chromothripsis. Methods in molecular biology. 1769. 133–156. 2 indexed citations
8.
Delachartre, Philippe, et al.. (2017). Improved boundary segmentation of skin lesions in high-frequency 3D ultrasound. Computers in Biology and Medicine. 87. 302–310. 10 indexed citations
9.
Couraud, S., et al.. (2015). Résultats à long terme de la chirurgie de résection pulmonaire pour cancer chez l’octogénaire. Revue de Pneumologie Clinique. 72(1). 3–9. 3 indexed citations
10.
Bernard, C., F. Pasquet, Sébastien Kerever, et al.. (2015). Thymoma associated with autoimmune diseases: 85 cases and literature review. Autoimmunity Reviews. 15(1). 82–92. 184 indexed citations
11.
Valour, Florent, Eddy Cotte, Benoît Guibert, et al.. (2013). Unusual growth rate during cystic echinococcosis. Parasitology International. 63(2). 275–277. 3 indexed citations
12.
Cortot, Alexis B., Benoît Guibert, Sylvie Isaac, et al.. (2013). Mutation of TP53 and Alteration of p14arf Expression in EGFR- and KRAS-Mutated Lung Adenocarcinomas. Clinical Lung Cancer. 15(2). 124–130. 15 indexed citations
13.
Couraud, S., et al.. (2012). Completion Pneumonectomy in Patients with Cancer: Postoperative Survival and Mortality Factors. Journal of Thoracic Oncology. 7(10). 1556–1562. 29 indexed citations
14.
Couraud, S., et al.. (2011). Bronchial mucous gland adenoma revealed following acute pneumonia. Interactive Cardiovascular and Thoracic Surgery. 14(3). 347–349. 5 indexed citations
15.
Ngahane, Bertrand Hugo Mbatchou, Alexandra Traverse‐Glehen, N. Freymond, et al.. (2009). Évaluation des facteurs pronostiques du synovialosarcome thoracique. Revue des Maladies Respiratoires. 27(1). 93–97. 5 indexed citations
16.
Monneuse, Olivier, Benoît Guibert, F.N. Gilly, et al.. (2003). Long-term results of intrathoracic chemohyperthermia (ITCH) for the treatment of pleural malignancies. British Journal of Cancer. 88(12). 1839–1843. 27 indexed citations
17.
Souquet, P.-J., et al.. (1996). [Spontaneous hydro-pneumothorax disclosing malignant mesothelioma. Apropos of 2 cases].. PubMed. 52(1). 42–4.
18.
Gormand, F., et al.. (1996). RU 41740 (BiostimR) stimulates the production of granulocyte macrophage colony-stimulating factor and interleukin-8 by human bronchial epithelial cells in vitro. General Pharmacology The Vascular System. 27(8). 1351–1353. 1 indexed citations
19.
20.
Brachet, A, F.N. Gilly, Philippe Petit, et al.. (1993). A New Device for the Treatment of Pleural Malignancies: Intrapleural Chemohyperthermia Preliminary Report. Oncology. 50(5). 348–352. 17 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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