Maud Laprais

494 total citations
11 papers, 433 citations indexed

About

Maud Laprais is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Maud Laprais has authored 11 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Maud Laprais's work include Acute Ischemic Stroke Management (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Maud Laprais is often cited by papers focused on Acute Ischemic Stroke Management (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Maud Laprais collaborates with scholars based in France, Slovakia and Germany. Maud Laprais's co-authors include Régis Bordet, Sophie Gautier, Olivier Pétrault, Thavarak Ouk, M. Bastide, Patrick Gelé, Dominique Deplanque, Patrick Duriez, Bart Staels and J.C. Fruchart and has published in prestigious journals such as Stroke, Brain Research and British Journal of Pharmacology.

In The Last Decade

Maud Laprais

11 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Laprais France 10 227 150 100 69 54 11 433
Lily B. Hsieh United States 10 186 0.8× 159 1.1× 91 0.9× 49 0.7× 76 1.4× 14 562
Honggang Zhao China 13 197 0.9× 171 1.1× 46 0.5× 82 1.2× 51 0.9× 31 588
Stéphane Nion France 9 345 1.5× 173 1.2× 78 0.8× 128 1.9× 39 0.7× 12 642
Jackson Saraf India 11 195 0.9× 115 0.8× 87 0.9× 61 0.9× 32 0.6× 12 427
Huabao Liao China 11 196 0.9× 144 1.0× 47 0.5× 86 1.2× 56 1.0× 17 437
Sebastian Liber Poland 10 316 1.4× 77 0.5× 93 0.9× 172 2.5× 50 0.9× 11 666
Thomas A. Doser United States 6 321 1.4× 101 0.7× 59 0.6× 79 1.1× 33 0.6× 7 630
Teruo Susumu Japan 10 241 1.1× 98 0.7× 108 1.1× 57 0.8× 44 0.8× 15 581
Masahiko Sawada United States 5 268 1.2× 118 0.8× 38 0.4× 60 0.9× 34 0.6× 7 508

Countries citing papers authored by Maud Laprais

Since Specialization
Citations

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

Fields of papers citing papers by Maud Laprais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Laprais

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

All Works

11 of 11 papers shown
1.
Ladds, Emma, et al.. (2015). The role of PPAR activation during the systemic response to brain injury. Journal of Neuroinflammation. 12(1). 99–99. 24 indexed citations
2.
3.
Ouk, Thavarak, Camille Potey, Maud Laprais, et al.. (2013). PPARα is involved in the multitargeted effects of a pretreatment with atorvastatin in experimental stroke. Fundamental and Clinical Pharmacology. 28(3). 294–302. 12 indexed citations
4.
Ouk, Thavarak, et al.. (2009). Withdrawal of fenofibrate treatment partially abrogates preventive neuroprotection in stroke via loss of vascular protection. Vascular Pharmacology. 51(5-6). 323–330. 24 indexed citations
5.
Klose, Diana, Maud Laprais, Vincent Leroux, et al.. (2009). Fenofibrate-loaded PLGA microparticles: Effects on ischemic stroke. European Journal of Pharmaceutical Sciences. 37(1). 43–52. 13 indexed citations
6.
Plaisier, Fabrice, M. Bastide, Thavarak Ouk, et al.. (2008). Stobadine-induced hastening of sensorimotor recovery after focal ischemia/reperfusion is associated with cerebrovascular protection. Brain Research. 1208. 240–249. 10 indexed citations
7.
Bordet, Régis, Thavarak Ouk, Olivier Pétrault, et al.. (2006). PPAR: a new pharmacological target for neuroprotection in stroke and neurodegenerative diseases. Biochemical Society Transactions. 34(6). 1341–1346. 237 indexed citations
8.
Pétrault, Olivier, Sophie Gautier, Maud Laprais, et al.. (2005). Pharmacological neutropenia prevents endothelial dysfunction but not smooth muscle functions impairment induced by middle cerebral artery occlusion. British Journal of Pharmacology. 144(8). 1051–1058. 28 indexed citations
9.
Ouk, Thavarak, Olivier Pétrault, Sophie Gautier, et al.. (2005). Acute treatment by a PPAR-α agonist decreases cerebral infarct volume and prevents post-ischemic endothelium and Kir 2.1 impairment. Journal of Cerebral Blood Flow & Metabolism. 25(1_suppl). S56–S56. 4 indexed citations
11.
Gautier, Sophie, Olivier Pétrault, Patrick Gelé, et al.. (2003). Involvement of Thrombolysis in Recombinant Tissue Plasminogen Activator-Induced Cerebral Hemorrhages and Effect on Infarct Volume and Postischemic Endothelial Function. Stroke. 34(12). 2975–2979. 33 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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