Chiara Perri

574 total citations
20 papers, 452 citations indexed

About

Chiara Perri is a scholar working on Biomedical Engineering, Molecular Biology and Bioengineering. According to data from OpenAlex, Chiara Perri has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Bioengineering. Recurrent topics in Chiara Perri's work include Plasmonic and Surface Plasmon Research (9 papers), Biosensors and Analytical Detection (7 papers) and Advanced Fiber Optic Sensors (6 papers). Chiara Perri is often cited by papers focused on Plasmonic and Surface Plasmon Research (9 papers), Biosensors and Analytical Detection (7 papers) and Advanced Fiber Optic Sensors (6 papers). Chiara Perri collaborates with scholars based in Italy, Portugal and Lebanon. Chiara Perri's co-authors include Luigi Zeni, Francesco Arcadio, Nunzio Cennamo, Girolamo D’Agostino, Mario Salmona, Marten Beeg, Marco Gobbi, Eva Maria Parisio, Francesco Di Marzo and Chiara Vettori and has published in prestigious journals such as Scientific Reports, Sensors and Journal of Theoretical Biology.

In The Last Decade

Chiara Perri

19 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Perri Italy 11 250 152 130 63 58 20 452
Xiao-Chen Yan China 14 252 1.0× 496 3.3× 96 0.7× 42 0.7× 71 1.2× 28 661
Marília Barreiros dos Santos Portugal 8 227 0.9× 218 1.4× 65 0.5× 30 0.5× 15 0.3× 14 329
Thiago Mazzu-Nascimento Brazil 8 461 1.8× 356 2.3× 94 0.7× 65 1.0× 6 0.1× 18 576
Christopher M. Collier Canada 12 230 0.9× 71 0.5× 279 2.1× 12 0.2× 10 0.2× 66 528
Xiaofei Jia China 10 334 1.3× 286 1.9× 24 0.2× 105 1.7× 33 0.6× 16 541
Yantian Wang United States 9 124 0.5× 98 0.6× 87 0.7× 20 0.3× 4 0.1× 16 355
Yixiang Duan China 14 338 1.4× 360 2.4× 90 0.7× 26 0.4× 2 0.0× 34 611
Haochen Cui United States 10 285 1.1× 146 1.0× 113 0.9× 35 0.6× 6 0.1× 13 415
Michael W. Mayo United States 9 289 1.2× 286 1.9× 76 0.6× 23 0.4× 2 0.0× 13 641
Petra Lindner Germany 9 108 0.4× 169 1.1× 31 0.2× 24 0.4× 47 0.8× 13 306

Countries citing papers authored by Chiara Perri

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Perri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Perri

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Perri. A scholar is included among the top collaborators of Chiara Perri 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 Chiara Perri. Chiara Perri 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.
Perri, Chiara, Luigi Zeni, Francesco Arcadio, et al.. (2024). The BETTER Project: Development of a tool for the measurement of SARS-CoV-2 via Internet of Medical Things POCT. 1–5. 3 indexed citations
2.
Perri, Chiara, Alessandro Chiodi, Francesco Arcadio, et al.. (2023). Polymer Doping as a Novel Approach to Improve the Performance of Plasmonic Plastic Optical Fibers Sensors. Sensors. 23(12). 5548–5548. 2 indexed citations
3.
Pasquardini, Laura, Lia Vanzetti, R. Canteri, et al.. (2023). Optimization of the immunorecognition layer towards Brucella sp. on gold surface for SPR platform. Colloids and Surfaces B Biointerfaces. 231. 113577–113577. 2 indexed citations
4.
Arcadio, Francesco, et al.. (2023). Ultra-Low Detection of Perfluorooctanoic Acid Using a Novel Plasmonic Sensing Approach Combined with Molecularly Imprinted Polymers. Chemosensors. 11(4). 211–211. 20 indexed citations
5.
Pasquardini, Laura, Nunzio Cennamo, Francesco Arcadio, et al.. (2023). Immuno-SPR biosensor for the detection of Brucella abortus. Scientific Reports. 13(1). 22832–22832. 19 indexed citations
6.
Arcadio, Francesco, Luigi Zeni, Aldo Minardo, et al.. (2021). A Nanoplasmonic-Based Biosensing Approach for Wide-Range and Highly Sensitive Detection of Chemicals. Nanomaterials. 11(8). 1961–1961. 10 indexed citations
7.
Cennamo, Nunzio, Girolamo D’Agostino, Chiara Perri, et al.. (2021). Proof of Concept for a Quick and Highly Sensitive On-Site Detection of SARS-CoV-2 by Plasmonic Optical Fibers and Molecularly Imprinted Polymers. Sensors. 21(5). 1681–1681. 83 indexed citations
8.
Arcadio, Francesco, Luigi Zeni, Chiara Perri, et al.. (2021). Bovine Serum Albumin Protein Detection by a Removable SPR Chip Combined with a Specific MIP Receptor. Chemosensors. 9(8). 218–218. 24 indexed citations
9.
Carducci, Francesca Ippolita Calò, et al.. (2021). Competitive sport after SARS-CoV-2 infection in children. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 47(1). 221–221. 7 indexed citations
10.
Perri, Chiara, et al.. (2021). Chemical and Biological Applications Based on Plasmonic Optical Fiber Sensors. IEEE Instrumentation & Measurement Magazine. 24(5). 50–55. 6 indexed citations
11.
Arcadio, Francesco, Luigi Zeni, Domenico Montemurro, et al.. (2021). Biochemical sensing exploiting plasmonic sensors based on gold nanogratings and polymer optical fibers. Photonics Research. 9(7). 1397–1397. 21 indexed citations
12.
Arcadio, Francesco, et al.. (2021). Universal tool for surface plasmon resonance sensors realized in waveguides. 1–6. 1 indexed citations
13.
Cennamo, Nunzio, Girolamo D’Agostino, Laura Pasquardini, et al.. (2021). (INVITED)Quantitative detection of SARS-CoV-2 virions in aqueous mediums by IoT optical fiber sensors. Results in Optics. 5. 100177–100177. 10 indexed citations
14.
Cennamo, Nunzio, et al.. (2020). Toward Smart Selective Sensors Exploiting a Novel Approach to Connect Optical Fiber Biosensors in Internet. IEEE Transactions on Instrumentation and Measurement. 69(10). 8009–8019. 16 indexed citations
15.
Cennamo, Nunzio, et al.. (2020). Measurement of MIPs Responses Deposited on Two SPR-POF Sensors Realized by Different Photoresist Buffer Layers. IEEE Transactions on Instrumentation and Measurement. 69(4). 1464–1473. 10 indexed citations
16.
Zeni, Luigi, Chiara Perri, Nunzio Cennamo, et al.. (2020). A portable optical-fibre-based surface plasmon resonance biosensor for the detection of therapeutic antibodies in human serum. Scientific Reports. 10(1). 11154–11154. 100 indexed citations
17.
Cennamo, Nunzio, Francesco Arcadio, Chiara Perri, et al.. (2019). Water monitoring in smart cities exploiting plastic optical fibers and molecularly imprinted polymers. The case of PFBS detection. 1–6. 9 indexed citations
18.
Cennamo, Nunzio, Girolamo D’Agostino, Francesco Arcadio, et al.. (2018). An optical fiber intensity-based sensor configuration for the detection of PFOA in water. 26th International Conference on Optical Fiber Sensors. ThE37–ThE37.
19.
Cennamo, Nunzio, et al.. (2018). A Molecularly Imprinted Polymer on a Plasmonic Plastic Optical Fiber to Detect Perfluorinated Compounds in Water. Sensors. 18(6). 1836–1836. 83 indexed citations
20.
Perri, Chiara, et al.. (2017). Social behavior-induced multistability in minimal competitive ecosystems. Journal of Theoretical Biology. 439. 24–38. 26 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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