Maylis Delugin

794 total citations
10 papers, 480 citations indexed

About

Maylis Delugin is a scholar working on Biophysics, Cell Biology and Analytical Chemistry. According to data from OpenAlex, Maylis Delugin has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biophysics, 4 papers in Cell Biology and 3 papers in Analytical Chemistry. Recurrent topics in Maylis Delugin's work include Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Maylis Delugin is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Maylis Delugin collaborates with scholars based in France, Taiwan and United Kingdom. Maylis Delugin's co-authors include Andréas Bikfalvi, Raphaël Pineau, Michel Moenner, Arnaud Jabouille, Marlène Maître, Sylvaine Guérit, Alexandre Favereaux, Peter Vajkoczy, Éric Chevet and Timo Gaiser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Science and TrAC Trends in Analytical Chemistry.

In The Last Decade

Maylis Delugin

10 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maylis Delugin France 7 268 237 164 74 52 10 480
Elisa Panada Italy 3 121 0.5× 249 1.1× 80 0.5× 64 0.9× 14 0.3× 3 389
Kai He China 13 122 0.5× 357 1.5× 34 0.2× 131 1.8× 4 0.1× 20 521
С. В. Айдагулова Russia 11 160 0.6× 238 1.0× 36 0.2× 82 1.1× 6 0.1× 75 439
Valgarður Sigurðsson Sweden 12 82 0.3× 279 1.2× 60 0.4× 102 1.4× 3 0.1× 22 540
Francesca Faggioli Italy 13 117 0.4× 344 1.5× 57 0.3× 93 1.3× 4 0.1× 18 570
Bo Rafn Denmark 5 77 0.3× 226 1.0× 110 0.7× 75 1.0× 3 0.1× 5 350
Leighton H. Daigh United States 7 63 0.2× 158 0.7× 29 0.2× 35 0.5× 15 0.3× 8 300
Victoria L. Bentley Canada 6 113 0.4× 251 1.1× 18 0.1× 93 1.3× 14 0.3× 9 394
Liliya Tyutyunyk‐Massey United States 10 47 0.2× 349 1.5× 119 0.7× 105 1.4× 8 0.2× 15 623
Zahra Erami United Kingdom 9 83 0.3× 168 0.7× 32 0.2× 67 0.9× 5 0.1× 9 295

Countries citing papers authored by Maylis Delugin

Since Specialization
Citations

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

Fields of papers citing papers by Maylis Delugin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maylis Delugin

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

All Works

10 of 10 papers shown
1.
Recur, Benoît, Hsiang‐Hsin Chen, Maylis Delugin, et al.. (2017). 3D chemical imaging of the brain using quantitative IR spectro-microscopy. Chemical Science. 9(1). 189–198. 5 indexed citations
2.
Chen, Hsiang‐Hsin, Jeremy Rowlette, Maylis Delugin, et al.. (2017). Fourier-transform vs. quantum-cascade-laser infrared microscopes for histo-pathology: From lab to hospital?. TrAC Trends in Analytical Chemistry. 89. 190–196. 19 indexed citations
3.
Chen, Hsiang‐Hsin, et al.. (2016). Quantitative IR microscopy and spectromics open the way to 3D digital pathology. Journal of Biophotonics. 10(4). 598–606. 12 indexed citations
4.
Guidi, Mariangela Cestelli, et al.. (2016). Methodology for FTIR Imaging of Individual Cells. Acta Physica Polonica A. 129(2). 250–254. 3 indexed citations
5.
Chen, Hsiang‐Hsin, Maylis Delugin, Raphaël Pineau, et al.. (2016). The Future of Infrared Spectroscopy in Biosciences: In Vitro, Time-Resolved, and 3D. Acta Physica Polonica A. 129(2). 255–259. 4 indexed citations
6.
Jabouille, Arnaud, Maylis Delugin, Raphaël Pineau, et al.. (2015). Glioblastoma invasion and cooption depend on IRE1α endoribonuclease activity. Oncotarget. 6(28). 24922–24934. 37 indexed citations
7.
Jabouille, Arnaud, Maylis Delugin, Sylvaine Guérit, et al.. (2013). High epiregulin expression in human U87 glioma cells relies on IRE1α and promotes autocrine growth through EGF receptor. BMC Cancer. 13(1). 597–597. 81 indexed citations
8.
Noreen, Razia, Chia‐Chi Chien, Maylis Delugin, et al.. (2011). Detection of collagens in brain tumors based on FTIR imaging and chemometrics. Analytical and Bioanalytical Chemistry. 401(3). 845–852. 27 indexed citations
9.
Jabouille, Arnaud, Sylvaine Guérit, Raphaël Pineau, et al.. (2010). Inositol-requiring enzyme 1α is a key regulator of angiogenesis and invasion in malignant glioma. Proceedings of the National Academy of Sciences. 107(35). 15553–15558. 231 indexed citations
10.
Hagedorn, Martin, Maylis Delugin, Nathalie Allain, et al.. (2007). FBXW7/hCDC4 controls glioma cell proliferation in vitro and is a prognostic marker for survival in glioblastoma patients. Cell Division. 2(1). 9–9. 61 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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