Sylvain Losdat

2.3k total citations
58 papers, 1.0k citations indexed

About

Sylvain Losdat is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sylvain Losdat has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 19 papers in Cardiology and Cardiovascular Medicine and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sylvain Losdat's work include Coronary Interventions and Diagnostics (25 papers), Animal Behavior and Reproduction (19 papers) and Acute Myocardial Infarction Research (16 papers). Sylvain Losdat is often cited by papers focused on Coronary Interventions and Diagnostics (25 papers), Animal Behavior and Reproduction (19 papers) and Acute Myocardial Infarction Research (16 papers). Sylvain Losdat collaborates with scholars based in Switzerland, United Kingdom and Denmark. Sylvain Losdat's co-authors include Fabrice Helfenstein, Heinz Richner, Jonathan D. Blount, Jane M. Reid, Stephan Windecker, Peter Arcese, Anders Pape Møller, Thomas Pilgrim, Lorenz Räber and Dik Heg and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Sylvain Losdat

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Losdat Switzerland 18 357 346 335 207 119 58 1.0k
Krzysztof Kaczmarek Poland 14 180 0.5× 344 1.0× 113 0.3× 233 1.1× 32 0.3× 100 682
Giovanni Paolo Talarico Italy 16 119 0.3× 185 0.5× 213 0.6× 45 0.2× 172 1.4× 48 639
Marco Bo Italy 18 73 0.2× 155 0.4× 44 0.1× 131 0.6× 51 0.4× 45 827
Zoltán Tóth Hungary 16 429 1.2× 43 0.1× 33 0.1× 172 0.8× 95 0.8× 60 876
Chihiro Koshimoto Japan 18 83 0.2× 30 0.1× 66 0.2× 120 0.6× 102 0.9× 60 942
G. A. Robinson Canada 14 30 0.1× 67 0.2× 56 0.2× 89 0.4× 41 0.3× 67 680
Rachel Neems United Kingdom 13 248 0.7× 163 0.5× 43 0.1× 86 0.4× 172 1.4× 22 586
Jan Aagaard Denmark 17 312 0.9× 117 0.3× 146 0.4× 113 0.5× 408 3.4× 50 1.1k
David Shaw Australia 25 423 1.2× 55 0.2× 67 0.2× 137 0.7× 553 4.6× 71 1.3k
Ayako Saito Japan 14 77 0.2× 24 0.1× 220 0.7× 144 0.7× 90 0.8× 41 923

Countries citing papers authored by Sylvain Losdat

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Losdat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Losdat

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Losdat. A scholar is included among the top collaborators of Sylvain Losdat 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 Sylvain Losdat. Sylvain Losdat 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.
Ueki, Yasushi, Tatsuhiko Otsuka, Sylvain Losdat, et al.. (2025). Effect of alirocumab on coronary plaque stratified by atherothrombotic risk. Atherosclerosis. 412. 120588–120588.
2.
Rohla, Miklós, Tatsuhiko Otsuka, Jonas Häner, et al.. (2024). Pretreatment With P2Y12 Inhibitors in ST-Segment Elevation Myocardial Infarction. JACC: Cardiovascular Interventions. 17(1). 17–28. 6 indexed citations
3.
Rexhaj, Emrush, Sarah Bär, Rodrigo Soria, et al.. (2024). Effects of alirocumab on endothelial function and coronary atherosclerosis in myocardial infarction: A PACMAN-AMI randomized clinical trial substudy. Atherosclerosis. 392. 117504–117504. 8 indexed citations
4.
Gu, Sophie, Yuan Huang, Charis Costopoulos, et al.. (2023). Heterogeneous plaque–lumen geometry is associated with major adverse cardiovascular events. European Heart Journal Open. 3(3). oead038–oead038. 4 indexed citations
5.
6.
Bär, Sarah, Raminta Kavaliauskaite, Tatsuhiko Otsuka, et al.. (2023). Quantitative Flow Ratio to Predict Non–Target‐Vessel Events Before Planned Staged Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome. Journal of the American Heart Association. 13(1). e031847–e031847.
7.
Häner, Jonas, et al.. (2023). Robotic-assisted percutaneous coronary intervention: experience in Switzerland. Frontiers in Cardiovascular Medicine. 10. 1294930–1294930. 7 indexed citations
8.
García‐García, Héctor M., Yasushi Ueki, Lene Holmvang, et al.. (2023). Effect of High-Intensity Statin Therapy on Atherosclerosis (IBIS-4): Manual Versus Automated Methods of IVUS Analysis. Cardiovascular revascularization medicine. 54. 33–38. 2 indexed citations
9.
Kraler, Simon, Florian A. Wenzl, Georgios Georgiopoulos, et al.. (2022). Soluble lectin-like oxidized low-density lipoprotein receptor-1 predicts premature death in acute coronary syndromes. European Heart Journal. 43(19). 1849–1860. 34 indexed citations
10.
Held, Ulrike, Klaus Steigmiller, Victoria L. Cammann, et al.. (2022). The incremental value of the contribution of a biostatistician to the reporting quality in health research—A retrospective, single center, observational cohort study. PLoS ONE. 17(3). e0264819–e0264819. 2 indexed citations
11.
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Zanchin, Christian, Sarah Bär, Yasushi Ueki, et al.. (2022). Acute coronary syndromes in young patients: Phenotypes, causes and clinical outcomes following percutaneous coronary interventions.. International Journal of Cardiology. 350. 1–8. 6 indexed citations
13.
Häner, Jonas, Yasushi Ueki, Tatsuhiko Otsuka, et al.. (2021). Impact of Intracoronary Optical Coherence Tomography in Routine Clinical Practice: A Contemporary Cohort Study. Cardiovascular revascularization medicine. 38. 96–103. 6 indexed citations
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Pilgrim, Thomas, Olivier Müller, Dik Heg, et al.. (2021). Biodegradable- Versus Durable-Polymer Drug-Eluting Stents for STEMI. JACC: Cardiovascular Interventions. 14(6). 639–648. 30 indexed citations
17.
Zanchin, Christian, Yasushi Ueki, Sylvain Losdat, et al.. (2020). In vivo relationship between near-infrared spectroscopy-detected lipid-rich plaques and morphological plaque characteristics by optical coherence tomography and intravascular ultrasound: a multimodality intravascular imaging study. European Heart Journal - Cardiovascular Imaging. 22(7). 824–834. 20 indexed citations
18.
Losdat, Sylvain, Heinz Richner, Jonathan D. Blount, & Fabrice Helfenstein. (2011). Immune Activation Reduces Sperm Quality in the Great Tit. PLoS ONE. 6(7). e22221–e22221. 45 indexed citations
19.
Losdat, Sylvain, Fabrice Helfenstein, Verena Saladin, & Heinz Richner. (2011). Higher in vitro resistance to oxidative stress in extra‐pair offspring. Journal of Evolutionary Biology. 24(11). 2525–2530. 3 indexed citations
20.
Helfenstein, Fabrice, Sylvain Losdat, Anders Pape Møller, Jonathan D. Blount, & Heinz Richner. (2010). Sperm of colourful males are better protected against oxidative stress. Ecology Letters. 13(2). 213–222. 124 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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