Ludovic Bénard

2.0k total citations
17 papers, 765 citations indexed

About

Ludovic Bénard is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Ludovic Bénard has authored 17 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Ludovic Bénard's work include Cardiac Fibrosis and Remodeling (4 papers), Cardiovascular Effects of Exercise (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Ludovic Bénard is often cited by papers focused on Cardiac Fibrosis and Remodeling (4 papers), Cardiovascular Effects of Exercise (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Ludovic Bénard collaborates with scholars based in United States, France and United Kingdom. Ludovic Bénard's co-authors include Roger J. Hajjar, Erik Kohlbrenner, Ronald E. Gordon, Jean‐Sébastien Hulot, Antoine H. Chaanine, Dongtak Jeong, Mathieu Nonnenmacher, Elie R. Chemaly, Kiyotake Ishikawa and Djamel Lebeche and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and The Journal of Physiology.

In The Last Decade

Ludovic Bénard

17 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ludovic Bénard United States 12 352 338 143 108 85 17 765
Anne-Marie Houot France 14 656 1.9× 591 1.7× 175 1.2× 214 2.0× 54 0.6× 20 1.2k
Vivek Singh United States 19 714 2.0× 653 1.9× 39 0.3× 56 0.5× 105 1.2× 34 1.3k
Darcy R. Flora United States 10 254 0.7× 376 1.1× 95 0.7× 21 0.2× 51 0.6× 27 746
Trevor P. Fidler United States 16 369 1.0× 92 0.3× 87 0.6× 41 0.4× 86 1.0× 18 877
Olga A. Iakoubova United States 17 390 1.1× 259 0.8× 125 0.9× 457 4.2× 23 0.3× 26 1.2k
Malik Bisserier United States 19 657 1.9× 310 0.9× 499 3.5× 68 0.6× 80 0.9× 48 1.2k
Andreas Jungmann Germany 15 565 1.6× 323 1.0× 74 0.5× 164 1.5× 73 0.9× 33 959
Mamta Buch United Kingdom 11 408 1.2× 346 1.0× 63 0.4× 24 0.2× 45 0.5× 24 724
Gregory S. Friedrichs United States 18 298 0.8× 463 1.4× 29 0.2× 52 0.5× 49 0.6× 50 948
Ning Zhu China 19 340 1.0× 89 0.3× 171 1.2× 39 0.4× 107 1.3× 61 817

Countries citing papers authored by Ludovic Bénard

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Bénard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Bénard

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

All Works

17 of 17 papers shown
1.
Cacheux, Marine, Benjamin Strauss, Nour Raad, et al.. (2019). Cardiomyocyte-Specific STIM1 (Stromal Interaction Molecule 1) Depletion in the Adult Heart Promotes the Development of Arrhythmogenic Discordant Alternans. Circulation Arrhythmia and Electrophysiology. 12(11). e007382–e007382. 21 indexed citations
2.
Chamberlain, Kyle, Jalish M. Riyad, Erik Kohlbrenner, et al.. (2018). A Calsequestrin Cis-Regulatory Motif Coupled to a Cardiac Troponin T Promoter Improves Cardiac Adeno-Associated Virus Serotype 9 Transduction Specificity. Human Gene Therapy. 29(8). 927–937. 10 indexed citations
3.
Rodriguez, Patricia Q., Yassine Sassi, Luca Troncone, et al.. (2018). Deletion of delta-like 1 homologue accelerates fibroblast–myofibroblast differentiation and induces myocardial fibrosis. European Heart Journal. 40(12). 967–978. 74 indexed citations
5.
Merrill, Michele A. La, Sunjay Sethi, Ludovic Bénard, et al.. (2016). Perinatal DDT Exposure Induces Hypertension and Cardiac Hypertrophy in Adult Mice. Environmental Health Perspectives. 124(11). 1722–1727. 22 indexed citations
6.
Chen, Jiqiu, Nadjib Hammoudi, Ludovic Bénard, et al.. (2016). The Probability of Inconstancy in Assessment of Cardiac Function Post- Myocardial Infarction in Mice. PubMed. 5(5). 5 indexed citations
7.
Bénard, Ludovic, Jae Gyun Oh, Marine Cacheux, et al.. (2016). Cardiac Stim1 Silencing Impairs Adaptive Hypertrophy and Promotes Heart Failure Through Inactivation of mTORC2/Akt Signaling. Circulation. 133(15). 1458–1471. 77 indexed citations
8.
Rocher, Vincent, Lauriane Vilmin, M. Poulin, et al.. (2016). Le modèle de prédiction de la qualité de la Seine ProSe. Techniques Sciences Méthodes. 43–66. 1 indexed citations
9.
Chaanine, Antoine H., Ronald E. Gordon, Mathieu Nonnenmacher, et al.. (2015). High-dose chloroquine is metabolically cardiotoxic by inducing lysosomes and mitochondria dysfunction in a rat model of pressure overload hypertrophy. Physiological Reports. 3(7). e12413–e12413. 34 indexed citations
10.
Bénard, Ludovic, et al.. (2014). Deletion of CXCR4 in cardiomyocytes exacerbates cardiac dysfunction following isoproterenol administration. Gene Therapy. 21(5). 496–506. 23 indexed citations
11.
Cook, Jason, Luca Carta, Ludovic Bénard, et al.. (2014). Abnormal muscle mechanosignaling triggers cardiomyopathy in mice with Marfan syndrome. Journal of Clinical Investigation. 124(3). 1329–39. 110 indexed citations
12.
Chemaly, Elie R., Soojeong Kang, Shihong Zhang, et al.. (2013). Differential patterns of replacement and reactive fibrosis in pressure and volume overload are related to the propensity for ischaemia and involve resistin. The Journal of Physiology. 591(21). 5337–5355. 30 indexed citations
13.
Hadri, Lahouaria, Ludovic Bénard, Bradley A. Maron, et al.. (2013). Therapeutic Efficacy of AAV1.SERCA2a in Monocrotaline-Induced Pulmonary Arterial Hypertension. Circulation. 128(5). 512–523. 96 indexed citations
14.
Zhao, Shan, Tomohiro Nishimura, Yibang Chen, et al.. (2013). Systems Pharmacology of Adverse Event Mitigation by Drug Combinations. Science Translational Medicine. 5(206). 206ra140–206ra140. 98 indexed citations
15.
Chaanine, Antoine H., Ronald E. Gordon, Erik Kohlbrenner, et al.. (2013). Potential Role of BNIP3 in Cardiac Remodeling, Myocardial Stiffness, and Endoplasmic Reticulum. Circulation Heart Failure. 6(3). 572–583. 76 indexed citations
16.
Lyon, Alexander R., Viacheslav O. Nikolaev, Michele Miragoli, et al.. (2012). Plasticity of Surface Structures and β 2 -Adrenergic Receptor Localization in Failing Ventricular Cardiomyocytes During Recovery From Heart Failure. Circulation Heart Failure. 5(3). 357–365. 81 indexed citations
17.
Mallet, Jean‐Pierre, et al.. (2007). Mucormycoses pulmonaires : difficultés diagnostiques et thérapeutiques. Revue des Maladies Respiratoires. 24(5). 617–621. 6 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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