Simon Labarthe

1.2k total citations
24 papers, 272 citations indexed

About

Simon Labarthe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Simon Labarthe has authored 24 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Simon Labarthe's work include Cardiac electrophysiology and arrhythmias (5 papers), Gut microbiota and health (5 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Simon Labarthe is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Gut microbiota and health (5 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Simon Labarthe collaborates with scholars based in France, United Kingdom and United States. Simon Labarthe's co-authors include F. Pistolesi, Jacques Henry, Yves Coudière, Romain Briandet, Arnaud Bridier, Pierre Jaı̈s, Béatrice Laroche, Florence Dubois‐Brissonnet, Jason D. Bayer and Caroline Pandin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review B and Journal of Nutrition.

In The Last Decade

Simon Labarthe

22 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Labarthe France 7 92 73 38 27 25 24 272
A. Czerski Poland 12 62 0.7× 12 0.2× 17 0.4× 22 0.8× 20 0.8× 36 361
Rafael Iriya United States 9 93 1.0× 67 0.9× 21 0.6× 323 12.0× 25 1.0× 12 538
Jingyan Wu China 14 224 2.4× 41 0.6× 26 0.7× 15 0.6× 3 0.1× 25 473
Zhaowei Wang China 15 174 1.9× 69 0.9× 6 0.2× 14 0.5× 68 2.7× 48 595
Stuart Friedman United States 8 42 0.5× 36 0.5× 34 0.9× 33 1.2× 37 1.5× 15 382
Mingjun Zhao China 12 36 0.4× 17 0.2× 14 0.4× 147 5.4× 36 1.4× 47 403
Yicheng Lin China 9 234 2.5× 37 0.5× 21 0.6× 24 0.9× 32 1.3× 14 518
Jennifer R. Fleming Germany 10 139 1.5× 82 1.1× 20 0.5× 24 0.9× 4 0.2× 29 272
JX Zhang China 11 104 1.1× 10 0.1× 14 0.4× 6 0.2× 13 0.5× 26 384

Countries citing papers authored by Simon Labarthe

Since Specialization
Citations

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

Fields of papers citing papers by Simon Labarthe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Labarthe

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Labarthe. A scholar is included among the top collaborators of Simon Labarthe 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 Simon Labarthe. Simon Labarthe 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.
Cambon, Marine C., Olivier Bonnard, M. Raynal, et al.. (2025). Revealing microbial consortia that interfere with grapevine downy mildew through microbiome epidemiology. Environmental Microbiome. 20(1). 37–37. 3 indexed citations
2.
Sherman, David James, et al.. (2024). Revealing the dynamics and mechanisms of bacterial interactions in cheese production with metabolic modelling. Metabolic Engineering. 83. 24–38. 5 indexed citations
3.
Grimaud, Ghjuvan Micaelu, et al.. (2024). Design of a proteolytic module for improved metabolic modeling of Bacteroides caccae. mSystems. 9(4). e0015324–e0015324. 1 indexed citations
4.
Labarthe, Simon, et al.. (2024). Pherosensor-toolbox: a Python package forBiology-Informed Data Assimilation. The Journal of Open Source Software. 9(101). 6863–6863.
5.
Sherman, David James, et al.. (2024). Community‐scale models of microbiomes: Articulating metabolic modelling and metagenome sequencing. Microbial Biotechnology. 17(1). e14396–e14396. 10 indexed citations
6.
Frioux, Clémence, et al.. (2023). Accelerating metabolic models evaluation with statistical metamodels: application to Salmonella infection models. SHILAP Revista de lepidopterología. 73. 187–217.
7.
Labarthe, Simon, Sandra Plancade, Sébastien Raguideau, et al.. (2023). Four functional profiles for fibre and mucin metabolism in the human gut microbiome. Microbiome. 11(1). 231–231. 3 indexed citations
8.
Karapantsios, Thodoris D., Sergio Caserta, Eleonora Secchi, et al.. (2023). Migration of surface-associated microbial communities in spaceflight habitats. Biofilm. 5. 100109–100109. 20 indexed citations
9.
Cherbuy, Claire, et al.. (2022). A PDMP model of the epithelial cell turn-over in the intestinal crypt including microbiota-derived regulations. Journal of Mathematical Biology. 84(7). 60–60. 3 indexed citations
10.
11.
Bourgin, Mélanie, Simon Labarthe, Aïcha Kriaa, et al.. (2020). Exploring the Bacterial Impact on Cholesterol Cycle: A Numerical Study. Frontiers in Microbiology. 11. 1121–1121. 20 indexed citations
12.
Labarthe, Simon, et al.. (2020). A multi-scale epidemic model of Salmonella infection with heterogeneous shedding. SHILAP Revista de lepidopterología. 67. 261–284. 1 indexed citations
13.
Labarthe, Simon, et al.. (2018). A mathematical model to investigate the key drivers of the biogeography of the colon microbiota. Journal of Theoretical Biology. 462. 552–581. 30 indexed citations
14.
Cherbuy, Claire, P. Vaugelade, Simon Labarthe, et al.. (2017). The Contribution of Intestinal Gluconeogenesis to Glucose Homeostasis Is Low in 2-Day-Old Pigs. Journal of Nutrition. 147(3). 361–366. 2 indexed citations
15.
Bridier, Arnaud, Jean-Christophe Piard, Caroline Pandin, et al.. (2017). Spatial Organization Plasticity as an Adaptive Driver of Surface Microbial Communities. Frontiers in Microbiology. 8. 1364–1364. 52 indexed citations
16.
Coudière, Yves, Jacques Henry, & Simon Labarthe. (2015). A two layers monodomain model of cardiac electrophysiology of the atria. Journal of Mathematical Biology. 71(6-7). 1607–1641. 5 indexed citations
17.
Labarthe, Simon, Jason D. Bayer, Yves Coudière, et al.. (2014). A bilayer model of human atria: mathematical background, construction, and assessment. EP Europace. 16(suppl 4). iv21–iv29. 63 indexed citations
18.
Jourdan, Guillaume, Laurent Duraffourg, Simon Labarthe, et al.. (2009). Sensitive in plane motion detection of NEMS through semiconducting (p+) piezoresistive gauge transducers. 44. 1286–1289. 1 indexed citations
19.
Ollier, E., Philippe Andreucci, Laurent Duraffourg, et al.. (2008). NEMS based on top-down technologies: from stand-alone NEMS to VLSI NEMS & NEMS-CMOS integration. apl 92. 1–6. 4 indexed citations
20.
Pistolesi, F. & Simon Labarthe. (2007). Current blockade in classical single-electron nanomechanical resonator. Physical Review B. 76(16). 34 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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