Mathieu Schmitt

407 citations
9 papers · 299 · h-index 6

Impact in

    • Advanced Drug Delivery Systems
    • Advancements in Transdermal Drug Delivery
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Mathieu Schmitt

7 papers receiving 296 citations

Peers

Mathieu Schmitt
Comparison fields: 5 of 53
  • Pharmaceutical Science 85
  • Neurology 51
  • Physiology 110
  • Public Health, Environmental and Occupational Health 100
  • Biological Psychiatry 8
Replace Н. Б. Чеснокова with:
Н. Б. Чеснокова Russia
R Michael Dutescu Germany
András Harazin Hungary
Norhafiza Razali Malaysia
Basilio Colligris Spain
Annamaria Tisi Italy
Lucia Buccarello Italy
W. S. WILSON United Kingdom
Nava Naveh Israel
Canan Uğur Yılmaz Türkiye
Mathieu Schmitt relative to Н. Б. Чеснокова Russia Н. Б. Чеснокова's profile →
Citations per field
00.5×3.7×
Н. Б. Чеснокова · 1×
Citations per year

Countries citing papers authored by Mathieu Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Schmitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Schmitt Line = papers co-authored together Mathieu Schmitt links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2017139
2 2019127
3 201514
4 20177
5 20226
6 20235
7
[Acquired cystic kidney disease and autosomal dominant polycystic kidney disease--precancerous condition?].
19891
8 20170
9
Architecture de sécurité pour les données dans un contexte d'informatique en nuage
20140

About Mathieu Schmitt

Mathieu Schmitt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Discrete Mathematics and Combinatorics and Genetics, having authored 9 papers that have together received 299 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Nuclear Receptors and Signaling (2 papers), Ocular Surface and Contact Lens (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Cholesterol and Lipid Metabolism (1 paper), Alzheimer's disease research and treatments (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pharmaceutical Science (85 citations), Neurology (51 citations), Physiology (110 citations), Public Health, Environmental and Occupational Health (100 citations) and Biological Psychiatry (8 citations). Mathieu Schmitt has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Simon Benita, Jean‐Louis Bourges, Frédéric Lallemand, Robert Gurny, Jean‐Sébastien Garrigue, Georges Mairet‐Coello, Anne Michel, Raphaëlle Caillierez, Sébastien Carrier and Luc Buée. Their work appears in journals such as Pharmaceuticals, Brain, European Journal of Pharmaceutics and Biopharmaceutics, Discrete Applied Mathematics and Journal of Molecular Cell Biology.

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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