Mathilde Lepoitevin

1.1k total citations
39 papers, 955 citations indexed

About

Mathilde Lepoitevin is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Mathilde Lepoitevin has authored 39 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 12 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Mathilde Lepoitevin's work include Nanopore and Nanochannel Transport Studies (24 papers), Fuel Cells and Related Materials (11 papers) and Ion-surface interactions and analysis (7 papers). Mathilde Lepoitevin is often cited by papers focused on Nanopore and Nanochannel Transport Studies (24 papers), Fuel Cells and Related Materials (11 papers) and Ion-surface interactions and analysis (7 papers). Mathilde Lepoitevin collaborates with scholars based in France, United States and Russia. Mathilde Lepoitevin's co-authors include Jean‐Marc Janot, Mikhaël Bechelany, Sébastien Balme, Tianji Ma, E. Balanzat, Christian Serre, Sébastien Balme, Xin Ma, Joan Torrent and Régis Guégan and has published in prestigious journals such as Nature Communications, Chemistry of Materials and Langmuir.

In The Last Decade

Mathilde Lepoitevin

36 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathilde Lepoitevin France 20 630 301 217 196 125 39 955
Sébastien Balme France 20 494 0.8× 268 0.9× 235 1.1× 293 1.5× 80 0.6× 44 973
Qun Ma China 20 700 1.1× 478 1.6× 369 1.7× 635 3.2× 63 0.5× 56 1.4k
Yun‐Chiao Yao United States 9 783 1.2× 304 1.0× 139 0.6× 304 1.6× 27 0.2× 16 1.0k
Oana Marinică Romania 17 471 0.7× 117 0.4× 87 0.4× 162 0.8× 66 0.5× 34 826
Zilong Guo China 17 197 0.3× 230 0.8× 131 0.6× 444 2.3× 34 0.3× 60 853
Daohui Zhao China 18 266 0.4× 215 0.7× 213 1.0× 308 1.6× 13 0.1× 34 893
Rahul Prasanna Misra United States 16 493 0.8× 154 0.5× 113 0.5× 494 2.5× 20 0.2× 22 932
Gregory W. Bishop United States 14 685 1.1× 293 1.0× 254 1.2× 122 0.6× 61 0.5× 17 951
Yaroslav I. Sobolev South Korea 9 295 0.5× 112 0.4× 128 0.6× 316 1.6× 29 0.2× 22 705

Countries citing papers authored by Mathilde Lepoitevin

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Lepoitevin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Lepoitevin

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Lepoitevin. A scholar is included among the top collaborators of Mathilde Lepoitevin 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 Mathilde Lepoitevin. Mathilde Lepoitevin 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.
Egorova, Bayirta V., Dmitry Bagrov, Tatiana A. Slastnikova, et al.. (2025). Yttrium-90-doped metal–organic frameworks (MOFs) for low-dose rate internal radiation therapy of tumors. Journal of Materials Chemistry B. 13(18). 5466–5481.
2.
Drachman, Nicholas, et al.. (2024). Nanopore ion sources deliver individual ions of amino acids and peptides directly into high vacuum. Nature Communications. 15(1). 7709–7709. 6 indexed citations
3.
Zhao, Heng, Iharilalao Dubail, Yong Chen, et al.. (2024). MOF‐Enhanced Phototherapeutic Wound Dressings Against Drug‐Resistant Bacteria. Advanced Healthcare Materials. 14(1). e2402418–e2402418. 2 indexed citations
4.
Mezentsev, Alexandre, et al.. (2023). Metal-Organic Framework-Based Nanomedicines for the Treatment of Intracellular Bacterial Infections. Pharmaceutics. 15(5). 1521–1521. 19 indexed citations
5.
Lepoitevin, Mathilde, et al.. (2023). Detection and discrimination of nanoparticles using bullet shape nanopores coated with PEG. Journal of Electroanalytical Chemistry. 939. 117447–117447. 3 indexed citations
6.
Janot, Jean‐Marc, et al.. (2023). Combining iontronic, chromatography and nanopipette for Aβ42 aggregates detection and separation. Analytica Chimica Acta. 1275. 341587–341587. 3 indexed citations
7.
Lepoitevin, Mathilde, et al.. (2023). Methylene Blue-Loaded NanoMOFs: Accumulation in Chlamydia trachomatis Inclusions and Light/Dark Antibacterial Effects. ACS Infectious Diseases. 9(8). 1558–1569. 7 indexed citations
8.
Janot, Jean‐Marc, Mathilde Lepoitevin, Véronique Perrier, et al.. (2021). Detection of Amyloid-β Fibrils Using Track-Etched Nanopores: Effect of Geometry and Crowding. ACS Sensors. 6(10). 3733–3743. 24 indexed citations
9.
Janot, Jean‐Marc, et al.. (2021). Solid-state and polymer nanopores for protein sensing: A review. Advances in Colloid and Interface Science. 298. 102561–102561. 40 indexed citations
10.
Janot, Jean‐Marc, Mathilde Lepoitevin, Michaël Smietana, et al.. (2020). Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore. Biosensors. 10(10). 140–140. 28 indexed citations
11.
Drachman, Nicholas, et al.. (2019). Towards Single Molecule Protein Sequencing by Nanopore Mass Spectrometry. APS March Meeting Abstracts. 2019.
12.
Lepoitevin, Mathilde, et al.. (2018). The Nanopore Mass Spectrometer. Biophysical Journal. 114(3). 216a–216a.
13.
Picaud, Fabien, et al.. (2018). Unexpected ionic transport behavior in hydrophobic and uncharged conical nanopores. Faraday Discussions. 210(0). 69–85. 8 indexed citations
14.
Picaud, Fabien, Guillaume Paris, Tijani Gharbi, et al.. (2017). Discrimination of Polynucleotide Transport through a Highly Hydrophobic Uncharged Nanopore. The Journal of Physical Chemistry C. 121(13). 7525–7532. 8 indexed citations
15.
Lepoitevin, Mathilde, Tianji Ma, Mikhaël Bechelany, Jean‐Marc Janot, & Sébastien Balme. (2017). Functionalization of single solid state nanopores to mimic biological ion channels: A review. Advances in Colloid and Interface Science. 250. 195–213. 128 indexed citations
16.
Balme, Sébastien, Mathilde Lepoitevin, Ludovic F. Dumée, Mikhaël Bechelany, & Jean‐Marc Janot. (2016). Diffusion dynamics of latex nanoparticles coated with ssDNA across a single nanopore. Soft Matter. 13(2). 496–502. 20 indexed citations
17.
18.
Balme, Sébastien, et al.. (2015). Biological Channel Confinement in Nanostructured Nanopore. Biophysical Journal. 108(2). 484a–484a. 1 indexed citations
19.
Lepoitevin, Mathilde, et al.. (2015). Influence of nanopore surface charge and magnesium ion on polyadenosine translocation. Nanotechnology. 26(14). 144001–144001. 11 indexed citations
20.
Balme, Sébastien, Fabien Picaud, Sebastian Kraszewski, et al.. (2013). Controlling potassium selectivity and proton blocking in a hybrid biological/solid-state polymer nanoporous membrane. Nanoscale. 5(9). 3961–3961. 20 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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