Rossella Svigelj

493 total citations
24 papers, 403 citations indexed

About

Rossella Svigelj is a scholar working on Molecular Biology, Biomedical Engineering and Electrochemistry. According to data from OpenAlex, Rossella Svigelj has authored 24 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Biomedical Engineering and 9 papers in Electrochemistry. Recurrent topics in Rossella Svigelj's work include Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (9 papers) and Ionic liquids properties and applications (8 papers). Rossella Svigelj is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (9 papers) and Ionic liquids properties and applications (8 papers). Rossella Svigelj collaborates with scholars based in Italy, Slovenia and Spain. Rossella Svigelj's co-authors include Rosanna Toniolo, Nicolò Dossi, C Grazioli, Gino Bontempelli, Noemí de‐los‐Santos‐Álvarez, María Jesús Lobo‐Castañón, Rebeca Miranda‐Castro, Fabio Terzi, Renzo Bortolomeazzi and Franco Tubaro and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Sensors.

In The Last Decade

Rossella Svigelj

24 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rossella Svigelj Italy 12 184 143 117 111 73 24 403
Antti H. Rantamäki Finland 16 105 0.6× 142 1.0× 26 0.2× 110 1.0× 31 0.4× 22 702
Carolina Venturini Uliana Brazil 11 134 0.7× 173 1.2× 112 1.0× 17 0.2× 86 1.2× 19 348
Graziela C. Sedenho Brazil 14 86 0.5× 114 0.8× 328 2.8× 14 0.1× 155 2.1× 38 503
Liya Rong China 9 74 0.4× 126 0.9× 315 2.7× 8 0.1× 185 2.5× 15 443
Maoxia Yang China 11 46 0.3× 79 0.6× 430 3.7× 25 0.2× 350 4.8× 14 517
Xiqin Yang China 10 192 1.0× 184 1.3× 63 0.5× 9 0.1× 15 0.2× 16 371
Jingying Pan China 8 219 1.2× 45 0.3× 59 0.5× 27 0.2× 4 0.1× 9 336
K. Theyagarajan India 13 110 0.6× 160 1.1× 286 2.4× 15 0.1× 146 2.0× 22 436
Kanjana Kunpatee Thailand 10 127 0.7× 133 0.9× 240 2.1× 5 0.0× 151 2.1× 16 397
Fabiana A. Gutierrez Argentina 12 94 0.5× 127 0.9× 208 1.8× 9 0.1× 129 1.8× 25 346

Countries citing papers authored by Rossella Svigelj

Since Specialization
Citations

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

Fields of papers citing papers by Rossella Svigelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rossella Svigelj

This figure shows the co-authorship network connecting the top 25 collaborators of Rossella Svigelj. A scholar is included among the top collaborators of Rossella Svigelj 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 Rossella Svigelj. Rossella Svigelj 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.
Svigelj, Rossella, et al.. (2025). Early stress detection in forest trees using a nanobody-functionalized electrochemical biosensor for ascorbate peroxidase. Plant Stress. 16. 100844–100844. 1 indexed citations
2.
Svigelj, Rossella & Ario de Marco. (2024). Biological and technical factors affecting the point-of-care diagnostics in not-oncological chronic diseases. Biosensors and Bioelectronics. 264. 116669–116669. 2 indexed citations
3.
Svigelj, Rossella, Rosanna Toniolo, Cristina Bertoni, & Alessandro Fraleoni‐Morgera. (2024). Synergistic Applications of Graphene-Based Materials and Deep Eutectic Solvents in Sustainable Sensing: A Comprehensive Review. Sensors. 24(8). 2403–2403. 3 indexed citations
4.
Grazioli, C, Rossella Svigelj, & Nicolò Dossi. (2023). A novel strategy for fabrication, activation and cleaning of fully 3D printed flexible planar electrochemical platforms. Electroanalysis. 35(9). 3 indexed citations
5.
Svigelj, Rossella, et al.. (2023). Electrochemical Evaluation of Tyrosinase Enzymatic Activity in Deep Eutectic Solvent and Aqueous Deep Eutectic Solvent. Sensors. 23(8). 3915–3915. 6 indexed citations
6.
Veggiani, Gianluca, et al.. (2023). Biological Applications of Synthetic Binders Isolated from a Conceptually New Adhiron Library. Biomolecules. 13(10). 1533–1533. 3 indexed citations
7.
Svigelj, Rossella, et al.. (2023). A smartphone aptasensor for fipronil detection in honey samples. Analytical and Bioanalytical Chemistry. 416(2). 397–405. 5 indexed citations
8.
Svigelj, Rossella, et al.. (2022). A portable electrochemiluminescence aptasensor for β-lactoglobulin detection. Analytical and Bioanalytical Chemistry. 414(27). 7935–7941. 11 indexed citations
9.
Svigelj, Rossella, et al.. (2022). An Effective Label-Free Electrochemical Aptasensor Based on Gold Nanoparticles for Gluten Detection. Nanomaterials. 12(6). 987–987. 28 indexed citations
10.
11.
Svigelj, Rossella, Nicolò Dossi, C Grazioli, & Rosanna Toniolo. (2021). Paper-based aptamer-antibody biosensor for gluten detection in a deep eutectic solvent (DES). Analytical and Bioanalytical Chemistry. 414(11). 3341–3348. 28 indexed citations
12.
Svigelj, Rossella, Nicolò Dossi, C Grazioli, & Rosanna Toniolo. (2021). Deep Eutectic Solvents (DESs) and Their Application in Biosensor Development. Sensors. 21(13). 4263–4263. 91 indexed citations
13.
Grazioli, C, et al.. (2021). Transmittance measurements on paper soaked with deep eutectic solvents. Microchemical Journal. 170. 106690–106690. 6 indexed citations
14.
Svigelj, Rossella, Nicolò Dossi, Rosanna Toniolo, et al.. (2020). Truncated aptamers as selective receptors in a gluten sensor supporting direct measurement in a deep eutectic solvent. Biosensors and Bioelectronics. 165. 112339–112339. 31 indexed citations
15.
Dossi, Nicolò, Rosanna Toniolo, Fabio Terzi, et al.. (2019). A Simple Strategy for Easily Assembling 3D Printed Miniaturized Cells Suitable for Simultaneous Electrochemical and Spectrophotometric Analyses. Electroanalysis. 32(2). 291–300. 9 indexed citations
16.
Svigelj, Rossella, Nicolò Dossi, Rosanna Toniolo, et al.. (2018). Selection of Anti‐gluten DNA Aptamers in a Deep Eutectic Solvent. Angewandte Chemie International Edition. 57(39). 12850–12854. 21 indexed citations
17.
Svigelj, Rossella, Nicolò Dossi, Rosanna Toniolo, et al.. (2018). Selection of Anti‐gluten DNA Aptamers in a Deep Eutectic Solvent. Angewandte Chemie. 130(39). 13032–13036. 11 indexed citations
18.
Dossi, Nicolò, Rosanna Toniolo, Franco Tubaro, et al.. (2017). Digitally Controlled Procedure for Assembling Fully Drawn Paper-Based Electroanalytical Platforms. Analytical Chemistry. 89(19). 10454–10460. 39 indexed citations
19.
Comuzzo, Piergiorgio, et al.. (2017). Oxidative behavior of (+)‐catechin in the presence of inactive dry yeasts: a comparison with sulfur dioxide, ascorbic acid and glutathione. Journal of the Science of Food and Agriculture. 97(15). 5158–5167. 7 indexed citations
20.
Svigelj, Rossella, et al.. (2017). An Effective Gluten Extraction Method Exploiting Pure Choline Chloride-Based Deep Eutectic Solvents (ChCl-DESs). Food Analytical Methods. 10(12). 4079–4085. 28 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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