Marc Lilot

1.3k total citations
49 papers, 800 citations indexed

About

Marc Lilot is a scholar working on Surgery, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marc Lilot has authored 49 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 18 papers in Physiology and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marc Lilot's work include Simulation-Based Education in Healthcare (17 papers), Hemodynamic Monitoring and Therapy (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (11 papers). Marc Lilot is often cited by papers focused on Simulation-Based Education in Healthcare (17 papers), Hemodynamic Monitoring and Therapy (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (11 papers). Marc Lilot collaborates with scholars based in France, United States and Türkiye. Marc Lilot's co-authors include Maxime Cannesson, Joseph Rinehart, Zhaoxia Yu, Cecilia Canales, Sang-Hyun Kim, Jesse M. Ehrenfeld, Brian E. Harrington, Thomas Rimmelé, Jean-Jacques Lehot and Antoine Duclos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Anesthesiology.

In The Last Decade

Marc Lilot

41 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Lilot France 16 475 379 147 115 109 49 800
Lars Gunnar Johnsen Norway 19 855 1.8× 345 0.9× 101 0.7× 125 1.1× 59 0.5× 43 1.4k
Jens C. Kubitz Germany 20 499 1.1× 350 0.9× 136 0.9× 143 1.2× 106 1.0× 61 955
Andrew Hilton Australia 20 309 0.7× 256 0.7× 208 1.4× 216 1.9× 34 0.3× 47 933
Christopher Chien United States 19 225 0.5× 547 1.4× 240 1.6× 123 1.1× 27 0.2× 47 825
Kristin E. Sandau United States 13 220 0.5× 275 0.7× 144 1.0× 75 0.7× 89 0.8× 36 738
Timothy J. Mader United States 18 254 0.5× 207 0.5× 152 1.0× 531 4.6× 33 0.3× 69 991
Shai Brill Israel 15 276 0.6× 149 0.4× 32 0.2× 92 0.8× 90 0.8× 37 721
Nian Chih Hwang Singapore 14 265 0.6× 165 0.4× 88 0.6× 75 0.7× 23 0.2× 44 577
Paul I. Reynolds United States 22 593 1.2× 485 1.3× 45 0.3× 146 1.3× 119 1.1× 44 1.5k
Marc P. Buise Netherlands 15 410 0.9× 235 0.6× 42 0.3× 48 0.4× 58 0.5× 47 727

Countries citing papers authored by Marc Lilot

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lilot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Lilot

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Lilot. A scholar is included among the top collaborators of Marc Lilot 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 Marc Lilot. Marc Lilot 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
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Lilot, Marc, et al.. (2024). Heart transplantation in adults with congenital heart diseases: A comprehensive meta-analysis on waiting times, operative, and survival outcomes. Transplantation Reviews. 39(1). 100886–100886. 3 indexed citations
4.
Saux, Olivia Le, Brice Canada, Ursula Debarnot, et al.. (2024). Association of Personality Traits With the Efficacy of Stress Management Interventions for Medical Students Taking Objective Structured Clinical Examinations. Academic Medicine. 99(7). 784–793. 2 indexed citations
5.
Rimmelé, Thomas, Marion Cortet, Stéphanie Mazza, et al.. (2024). Associations of coping and health-related behaviors with medical students’ well-being and performance during objective structured clinical examination. Scientific Reports. 14(1). 11298–11298. 5 indexed citations
6.
Schmidt, Laura S., Marion Douplat, C. Perchet, et al.. (2023). The impact of shift work on pain recognition, a robust ability among intensive care nurses. European Journal of Pain. 27(10). 1203–1215.
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Buléon, Clément, Rebecca D. Minehart, Jenny W. Rudolph, et al.. (2022). Strategy to Develop a Common Simulation Training Program: Illustration with Anesthesia and Intensive Care Residency in France. Teaching and Learning in Medicine. 35(5). 537–549. 3 indexed citations
9.
Canada, Brice, Antoine Duclos, Jean-Jacques Lehot, et al.. (2022). Personality traits affect anticipatory stress vulnerability and coping effectiveness in occupational critical care situations. Scientific Reports. 12(1). 20965–20965. 14 indexed citations
10.
Bermede, Onat, et al.. (2021). Use of simulation to teach in the operating room – Don't let the COVID-19 pandemic interrupt education:an observational clinical trial. Brazilian Journal of Anesthesiology (English Edition). 72(2). 185–188. 3 indexed citations
11.
Claverie, Damien, Marion Trousselard, Frédéric Canini, et al.. (2020). Stress Management Training Improves Overall Performance during Critical Simulated Situations. Anesthesiology. 133(1). 198–211. 21 indexed citations
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Desgranges, François‐Pierrick, et al.. (2019). Does a two‐minute mini‐fluid challenge predict fluid responsiveness in pediatric patients under general anesthesia?. Pediatric Anesthesia. 30(2). 161–167. 9 indexed citations
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Lilot, Marc, Christian Bauer, Alexandre Faure, et al.. (2018). Relaxation before Debriefing during High-fidelity Simulation Improves Memory Retention of Residents at Three Months. Anesthesiology. 128(3). 638–649. 17 indexed citations
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Jacquet‐Lagrèze, Matthias, et al.. (2018). Diagnostic accuracy of a calibrated abdominal compression to predict fluid responsiveness in children. British Journal of Anaesthesia. 121(6). 1323–1331. 10 indexed citations
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Verdonk, Franck, et al.. (2018). Implementation of a novel synchronous multi-site all day high-fidelity simulation. SHILAP Revista de lepidopterología. 3(1). 2–2. 3 indexed citations
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Jacquet‐Lagrèze, Matthias, Florent Baudin, Jean David, et al.. (2016). End-tidal carbon dioxide variation after a 100- and a 500-ml fluid challenge to assess fluid responsiveness. Annals of Intensive Care. 6(1). 37–37. 18 indexed citations
18.
Bauer, Christian, Thomas Rimmelé, Antoine Duclos, et al.. (2016). Anxiety and stress among anaesthesiology and critical care residents during high-fidelity simulation sessions. Anaesthesia Critical Care & Pain Medicine. 35(6). 407–416. 22 indexed citations
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Kim, Sang‐Hyun, Marc Lilot, Linda Murphy, et al.. (2014). Accuracy of Continuous Noninvasive Hemoglobin Monitoring. Anesthesia & Analgesia. 119(2). 332–346. 78 indexed citations
20.
Bojan, Miréla, et al.. (2012). Early elevation of cardiac troponin I is predictive of short-term outcome in neonates and infants with coronary anomalies or reduced ventricular mass undergoing cardiac surgery. Journal of Thoracic and Cardiovascular Surgery. 144(6). 1436–1444. 20 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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