Dan Benhamou

15.2k total citations · 1 hit paper
425 papers, 9.5k citations indexed

About

Dan Benhamou is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Dan Benhamou has authored 425 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 235 papers in Surgery, 108 papers in Cardiology and Cardiovascular Medicine and 98 papers in Anesthesiology and Pain Medicine. Recurrent topics in Dan Benhamou's work include Anesthesia and Pain Management (156 papers), Cardiac, Anesthesia and Surgical Outcomes (91 papers) and Nausea and vomiting management (51 papers). Dan Benhamou is often cited by papers focused on Anesthesia and Pain Management (156 papers), Cardiac, Anesthesia and Surgical Outcomes (91 papers) and Nausea and vomiting management (51 papers). Dan Benhamou collaborates with scholars based in France, United States and Belgium. Dan Benhamou's co-authors include F.J. Mercier, Jean‐Xavier Mazoit, H. Bouaziz, Jacques Duranteau, Yves Auroy, Thomas Geeraerts, P. Narchi, Bernard Vigué, Hélène Beloeil and H. Fernandez and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dan Benhamou

394 papers receiving 9.0k citations

Hit Papers

Major Complications of Regional Anesthesia in France 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Benhamou France 50 5.5k 2.2k 2.1k 1.1k 1.1k 425 9.5k
Peter Kranke Germany 53 7.9k 1.4× 3.5k 1.6× 3.0k 1.4× 968 0.9× 342 0.3× 370 11.8k
Françis Bonnet France 53 6.9k 1.3× 3.7k 1.7× 2.2k 1.1× 1.2k 1.1× 248 0.2× 294 9.7k
Pierre Coriat France 55 4.7k 0.8× 2.3k 1.1× 3.4k 1.6× 2.5k 2.3× 785 0.7× 266 10.3k
Mark A. Warner United States 53 4.6k 0.8× 1.9k 0.9× 2.7k 1.3× 1.8k 1.7× 318 0.3× 180 9.5k
Hugo Van Aken Germany 61 6.7k 1.2× 2.4k 1.1× 4.4k 2.1× 2.3k 2.1× 721 0.7× 580 16.2k
Hinnerk Wulf Germany 42 3.8k 0.7× 2.2k 1.0× 1.4k 0.6× 886 0.8× 194 0.2× 346 6.5k
Nathan L. Pace United States 50 4.1k 0.7× 3.4k 1.6× 1.8k 0.9× 1.5k 1.4× 215 0.2× 207 8.4k
Bruno Riou France 55 3.8k 0.7× 1.1k 0.5× 3.0k 1.4× 1.2k 1.1× 283 0.3× 314 9.3k
Bruno Riou France 43 2.6k 0.5× 1.9k 0.9× 1.2k 0.6× 1.2k 1.1× 379 0.4× 192 7.2k
Ann Merete Møller Denmark 48 3.6k 0.7× 1.3k 0.6× 1.9k 0.9× 1.4k 1.3× 173 0.2× 185 7.4k

Countries citing papers authored by Dan Benhamou

Since Specialization
Citations

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

Fields of papers citing papers by Dan Benhamou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Benhamou

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Benhamou. A scholar is included among the top collaborators of Dan Benhamou 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 Dan Benhamou. Dan Benhamou 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.
Gouez, Agnès Le, Marie Bruyère, Samy Figueiredo, et al.. (2025). Use of an observer tool to enhance learning of anaesthesia resident’s non-technical skills during high-fidelity simulation: a randomised controlled trial. BMC Medical Education. 25(1). 97–97. 1 indexed citations
2.
Baumann, Antoine & Dan Benhamou. (2024). Preoperative anaesthesia and other team meetings for complex cases: a narrative review. Anaesthesia Critical Care & Pain Medicine. 43(5). 101421–101421.
3.
Cheisson, Gaëlle, Sophie Jacqueminet, Alexandre Ouattara, et al.. (2023). Prise en charge périopératoire d’un patient diabétique de type 2 traité par agents anti-hyperglycémiants : cas clinique : 1re partie. Anesthésie & Réanimation. 9(3). 287–290.
4.
Benhamou, Dan, Bogdan Catargi, Gaëlle Cheisson, et al.. (2023). Agonistes du récepteur du GLP1 (AR-GLP1) et dérivés, vidange gastrique et anesthésie. Anesthésie & Réanimation. 9(5-6). 510–511. 1 indexed citations
5.
Benhamou, Dan & S. Grousson. (2020). Échographie gastrique : quand commence-t-on ?. Anesthésie & Réanimation. 6(6). 511–514.
6.
Roulleau, P, Catherine Baujard, Antonia Blanié, & Dan Benhamou. (2017). Apport de la simulation dans la gestion des situations complexes. Anesthésie & Réanimation. 3(6). 515–519. 1 indexed citations
7.
Raucoules‐Aimé, M., et al.. (2013). Réhabilitation précoce après césarienne programmée : enquête de pratique auprès des maternités des régions Provence - Alpes - Côte d’Azur et Île-de-France. Annales Françaises d Anesthésie et de Réanimation. 32(3). 149–156. 10 indexed citations
8.
Vert, P, Patrice Queneau, Jean‐Paul Tillement, et al.. (2012). Médicaments et adaptation néonatale : l’héritage médicamenteux. Bulletin de l Académie Nationale de Médecine. 196(3). 717–737.
9.
Dubost, Clément, Agnès Le Gouez, S. Roger‐Christoph, et al.. (2012). Optic Nerve Sheath Diameter Used as Ultrasonographic Assessment of the Incidence of Raised Intracranial Pressure in Preeclampsia. Anesthesiology. 116(5). 1066–1071. 83 indexed citations
10.
Zetlaoui, Paul J., et al.. (2010). TAP block avec pose bilatérale d’un cathéter pour analgésie postopératoire après chirurgie gynécologique. Annales Françaises d Anesthésie et de Réanimation. 30(1). 67–69. 7 indexed citations
12.
Mazoit, Jean‐Xavier, et al.. (2009). Binding of Long-lasting Local Anesthetics to Lipid Emulsions. Anesthesiology. 110(2). 380–386. 137 indexed citations
13.
Beloeil, Hélène, et al.. (2008). The Limited Efficacy of Tramadol in Postoperative Patients: A Study of ED80 Using the Continual Reassessment Method. Anesthesia & Analgesia. 106(2). 622–627. 15 indexed citations
14.
Beloeil, Hélène, et al.. (2007). Effective dose of nefopam in 80% of patients (ED80): a study using the continual reassessment method. British Journal of Clinical Pharmacology. 64(5). 686–693. 21 indexed citations
15.
Lienhart, A., Yves Auroy, F Péquignot, et al.. (2006). Survey of Anesthesia-related Mortality in France. Anesthesiology. 105(6). 1087–1097. 328 indexed citations
16.
Marqué, Sophie, et al.. (2005). The Median Effective Dose of Tramadol and Morphine for Postoperative Patients: A Study of Interactions. Anesthesia & Analgesia. 100(2). 469–474. 49 indexed citations
17.
Cucchiaro, Giovanni, et al.. (2003). Side‐effects of postoperative epidural analgesia in children: a randomized study comparing morphine and clonidine. Pediatric Anesthesia. 13(4). 318–323. 21 indexed citations
18.
Labaille, T., Jean Xavier Mazoit, Xavier Paqueron, Dominique Franco, & Dan Benhamou. (2002). The Clinical Efficacy and Pharmacokinetics of Intraperitoneal Ropivacaine for Laparoscopic Cholecystectomy. Anesthesia & Analgesia. 94(1). 100–105. 90 indexed citations
19.
Kinirons, B., et al.. (2000). Sedation with Sufentanil and Midazolam Decreases Pain in Patients Undergoing Upper Limb Surgery Under Multiple Nerve Block. Anesthesia & Analgesia. 90(5). 1118–1121. 43 indexed citations
20.
Bouaziz, H., et al.. (1999). No Enhancement of Sensory and Motor Blockade by Neostigmine Added to Mepivacaine Axillary Plexus Block . Anesthesiology. 91(1). 78–83. 46 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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