Sébastien Mailfert

896 total citations
22 papers, 622 citations indexed

About

Sébastien Mailfert is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Sébastien Mailfert has authored 22 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Immunology. Recurrent topics in Sébastien Mailfert's work include Advanced Fluorescence Microscopy Techniques (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Immune Cell Function and Interaction (3 papers). Sébastien Mailfert is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Immune Cell Function and Interaction (3 papers). Sébastien Mailfert collaborates with scholars based in France, United States and Germany. Sébastien Mailfert's co-authors include Didier Marguet, Michael H. Sieweke, Grégory Gimenez, Noushin Mossadegh‐Keller, Rebecca Gentek, Sylvain Bigot, Anne‐Odile Hueber, Yannick Hamon, Hai‐Tao He and Nicolas Bertaux and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Sébastien Mailfert

21 papers receiving 614 citations

Peers

Sébastien Mailfert
E Davies United Kingdom
Samer Hanna United States
Jian-Jiang Hao United States
Ignacio A. Demarco United States
Davide Seruggia United States
Oleg Milberg United States
Carola Benzing Australia
E Davies United Kingdom
Sébastien Mailfert
Citations per year, relative to Sébastien Mailfert Sébastien Mailfert (= 1×) peers E Davies

Countries citing papers authored by Sébastien Mailfert

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Mailfert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Mailfert

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Mailfert. A scholar is included among the top collaborators of Sébastien Mailfert 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 Sébastien Mailfert. Sébastien Mailfert 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.
Mailfert, Sébastien, et al.. (2025). Quality control maps: Real-time quantitative control of single-molecule localization microscopy data. Biophysical Journal. 124(7). 1132–1145. 1 indexed citations
2.
Gori, Matteo, S. Ruffenach, Elena Floriani, et al.. (2022). Experimental evidence for long-distance electrodynamic intermolecular forces. arXiv (Cornell University). 31 indexed citations
3.
Mailfert, Sébastien, Sophie Brustlein, Ewa Błaszczak, et al.. (2020). Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells. Journal of Visualized Experiments. 6 indexed citations
4.
Salles, Audrey, Gaëtan Chicanne, Mathieu Fallet, et al.. (2020). Author Correction: Phosphoinositides regulate the TCR/CD3 complex membrane dynamics and activation. Scientific Reports. 10(1). 12558–12558.
5.
Mailfert, Sébastien, Sophie Brustlein, Ewa Błaszczak, et al.. (2020). Spot Variation Fluorescence Correlation Spectroscopy for Analysis of Molecular Diffusion at the Plasma Membrane of Living Cells. Journal of Visualized Experiments. 1 indexed citations
6.
Salles, Audrey, Gaëtan Chicanne, Mathieu Fallet, et al.. (2018). Phosphoinositides regulate the TCR/CD3 complex membrane dynamics and activation. Scientific Reports. 8(1). 4966–4966. 27 indexed citations
7.
Mailfert, Sébastien, Roxane Fabre, Asma Rabaoui, et al.. (2018). A Theoretical High-Density Nanoscopy Study Leads to the Design of UNLOC, a Parameter-free Algorithm. Biophysical Journal. 115(3). 565–576. 22 indexed citations
8.
Xia, Fan, Yannick Hamon, Sébastien Mailfert, et al.. (2018). TCR and CD28 Concomitant Stimulation Elicits a Distinctive Calcium Response in Naive T Cells. Frontiers in Immunology. 9. 2864–2864. 26 indexed citations
9.
Wang, Ruixing, Sophie Brustlein, Sébastien Mailfert, et al.. (2018). A straightforward STED-background corrected fitting model for unbiased STED-FCS analyses. Methods. 140-141. 212–222. 8 indexed citations
10.
Mailfert, Sébastien, Yannick Hamon, Nicolas Bertaux, Hai‐Tao He, & Didier Marguet. (2017). A user's guide for characterizing plasma membrane subdomains in living cells by spot variation fluorescence correlation spectroscopy. Methods in cell biology. 139. 1–22. 14 indexed citations
11.
Gori, Matteo, Irene Donato, Jordane Preto, et al.. (2017). Detection of long-range electrostatic interactions between charged molecules by means of fluorescence correlation spectroscopy. Physical review. E. 96(2). 22403–22403. 10 indexed citations
12.
Mossadegh‐Keller, Noushin, Rebecca Gentek, Grégory Gimenez, et al.. (2017). Developmental origin and maintenance of distinct testicular macrophage populations. The Journal of Experimental Medicine. 214(10). 2829–2841. 115 indexed citations
13.
Blouin, Cédric M., Yannick Hamon, Pauline Gonnord, et al.. (2016). Glycosylation-Dependent IFN-γR Partitioning in Lipid and Actin Nanodomains Is Critical for JAK Activation. Cell. 166(4). 920–934. 89 indexed citations
14.
Couillault, Carole, Serge Monneret, Sébastien Mailfert, et al.. (2014). Independent Synchronized Control and Visualization of Interactions between Living Cells and Organisms. Biophysical Journal. 106(10). 2096–2104. 19 indexed citations
15.
Marquèze‐Pouey, Béatrice, et al.. (2014). Physiological Epidermal Growth Factor Concentrations Activate High Affinity Receptors to Elicit Calcium Oscillations. PLoS ONE. 9(9). e106803–e106803. 13 indexed citations
16.
Bertaux, Nicolas, Tomasz Trombik, Sébastien Mailfert, et al.. (2012). Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing (MTT). Journal of Visualized Experiments. e3599–e3599. 3 indexed citations
17.
Guia, Sophie, Baptiste N. Jaeger, Stefan Piatek, et al.. (2011). Confinement of Activating Receptors at the Plasma Membrane Controls Natural Killer Cell Tolerance. Science Signaling. 4(167). ra21–ra21. 99 indexed citations
18.
Guardiola-Serrano, Francisca, Aurélie Rossin, Nathalie Cahuzac, et al.. (2010). Palmitoylation of human FasL modulates its cell death-inducing function. Cell Death and Disease. 1(10). e88–e88. 40 indexed citations
19.
Rossin, Aurélie, et al.. (2010). Identification of a lysine-rich region of Fas as a raft nanodomain targeting signal necessary for Fas-mediated cell death. Experimental Cell Research. 316(9). 1513–1522. 18 indexed citations
20.
Chakrabandhu, Krittalak, Sébastien Huault, Nicolas Garmy, et al.. (2008). The extracellular glycosphingolipid-binding motif of Fas defines its internalization route, mode and outcome of signals upon activation by ligand. Cell Death and Differentiation. 15(12). 1824–1837. 54 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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