Raphaël Mathey

495 total citations
19 papers, 385 citations indexed

About

Raphaël Mathey is a scholar working on Biomedical Engineering, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Raphaël Mathey has authored 19 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 5 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Raphaël Mathey's work include Advanced Chemical Sensor Technologies (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Biosensors and Analytical Detection (5 papers). Raphaël Mathey is often cited by papers focused on Advanced Chemical Sensor Technologies (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Biosensors and Analytical Detection (5 papers). Raphaël Mathey collaborates with scholars based in France, Brazil and United States. Raphaël Mathey's co-authors include Yanxia Hou, Arnaud Buhot, Thierry Livache, Natale Scaramozzino, Yoann Roupioz, Armelle Novelli, Frédéric Mallard, Agnès Roux, Cyril Herrier and Jasmina Vidić and has published in prestigious journals such as ACS Nano, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Raphaël Mathey

19 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Mathey France 13 236 118 101 64 42 19 385
Peter Kaul Germany 10 142 0.6× 53 0.4× 75 0.7× 72 1.1× 9 0.2× 40 320
Huisung Kim United States 9 265 1.1× 147 1.2× 28 0.3× 91 1.4× 50 1.2× 16 391
William John Thrift United States 9 258 1.1× 134 1.1× 33 0.3× 151 2.4× 35 0.8× 14 442
Antonietta Parracino Italy 12 164 0.7× 192 1.6× 42 0.4× 9 0.1× 7 0.2× 26 435
Bhagaban Behera India 10 324 1.4× 51 0.4× 367 3.6× 15 0.2× 58 1.4× 23 577
Akif Göktuğ Bozkurt Türkiye 6 174 0.7× 182 1.5× 37 0.4× 55 0.9× 6 0.1× 8 368
Yu-Hsuan Chen Taiwan 7 212 0.9× 121 1.0× 58 0.6× 64 1.0× 21 0.5× 20 346
Yoo Min Park South Korea 17 504 2.1× 410 3.5× 140 1.4× 14 0.2× 9 0.2× 42 715
Des Brennan Ireland 11 181 0.8× 64 0.5× 98 1.0× 27 0.4× 4 0.1× 29 340
Thaddaeus A. Webster United States 8 176 0.7× 252 2.1× 20 0.2× 47 0.7× 19 0.5× 13 337

Countries citing papers authored by Raphaël Mathey

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Mathey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Mathey

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

All Works

19 of 19 papers shown
1.
Mathey, Raphaël, Arnaud Buhot, Thierry Livache, et al.. (2024). Study and optimization of the selectivity of an odorant binding protein-based bioelectronic nose. Biosensors and Bioelectronics. 268. 116879–116879. 3 indexed citations
2.
Farre, Carole, Florence Lagarde, Raphaël Mathey, et al.. (2024). Investigation of the Affinity of Aptamers for Bacteria by Surface Plasmon Resonance Imaging Using Nanosomes. ACS Applied Materials & Interfaces. 16(23). 29645–29656. 7 indexed citations
3.
Brenet, Sophie, et al.. (2023). Exploration of Phage Display peptides as novel sensing materials for highly sensitive and selective biomimetic optoelectronic nose. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
Scaramozzino, Natale, Jasmina Vidić, Arnaud Buhot, et al.. (2023). Recent Advances on Peptide-Based Biosensors and Electronic Noses for Foodborne Pathogen Detection. Biosensors. 13(2). 258–258. 40 indexed citations
5.
Hou, Yanxia, et al.. (2023). Simultaneous detection of CA-125 and mesothelin by gold nanoparticles in surface plasmon resonance. Sensing and Bio-Sensing Research. 43. 100609–100609. 5 indexed citations
6.
Elchinger, Pierre‐Henri, Raphaël Mathey, Wai Li Ling, et al.. (2022). Surfactant-like Peptide Self-Assembled into Hybrid Nanostructures for Electronic Nose Applications. ACS Nano. 16(3). 4444–4457. 14 indexed citations
7.
Mathey, Raphaël, et al.. (2022). Interaction between Nanoparticles, Membranes and Proteins: A Surface Plasmon Resonance Study. International Journal of Molecular Sciences. 24(1). 591–591. 19 indexed citations
8.
Laplatine, Loïc, Maryse Fournier, Yanxia Hou, et al.. (2022). Silicon photonic olfactory sensor based on an array of 64 biofunctionalized Mach-Zehnder interferometers. Optics Express. 30(19). 33955–33955. 31 indexed citations
9.
10.
Brenet, Sophie, Arnaud Buhot, François‐Xavier Gallat, et al.. (2020). Improvement of sensitivity of surface plasmon resonance imaging for the gas-phase detection of volatile organic compounds. Talanta. 212. 120777–120777. 14 indexed citations
11.
Roux, Agnès, et al.. (2019). Antimicrobial peptide arrays for wide spectrum sensing of pathogenic bacteria. Talanta. 203. 322–327. 28 indexed citations
12.
Mathey, Raphaël, et al.. (2019). Development of an optoelectronic nose based on surface plasmon resonance imaging with peptide and hairpin DNA for sensing volatile organic compounds. Sensors and Actuators B Chemical. 303. 127188–127188. 26 indexed citations
13.
Brenet, Sophie, Raphaël Mathey, Camille Raillon, et al.. (2019). Opto-electronic nose - temperature and VOC concentration effects on the equilibrium response. HAL (Le Centre pour la Communication Scientifique Directe). 1–3. 3 indexed citations
14.
Livache, Thierry, et al.. (2017). Biochips for Direct Detection and Identification of Bacteria in Blood Culture-Like Conditions. Scientific Reports. 7(1). 9457–9457. 34 indexed citations
15.
Mathey, Raphaël, Loïc Leroy, Yoann Roupioz, et al.. (2016). Real-time toxicity testing of silver nanoparticles to Salmonella Enteritidis using surface plasmon resonance imaging: A proof of concept. NanoImpact. 1. 55–59. 4 indexed citations
16.
Delannoy, Sabine, et al.. (2015). Fast detection of both O157 and non-O157 shiga-toxin producing Escherichia coli by real-time optical immunoassay. Letters in Applied Microbiology. 62(1). 39–46. 12 indexed citations
17.
Mathey, Raphaël, et al.. (2014). Viability of 3 h grown bacterial micro-colonies after direct Raman identification. Journal of Microbiological Methods. 109. 67–73. 17 indexed citations
18.
Ostrovskii, Denis, et al.. (2014). Direct identification of clinically relevant bacterial and yeast microcolonies and macrocolonies on solid culture media by Raman spectroscopy. Journal of Biomedical Optics. 19(2). 27004–27004. 43 indexed citations
19.
Marcoux, Pierre R., Raphaël Mathey, Armelle Novelli, et al.. (2010). Micro-confinement of bacteria into w/o emulsion droplets for rapid detection and enumeration. Colloids and Surfaces A Physicochemical and Engineering Aspects. 377(1-3). 54–62. 42 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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