G. Perna

2.9k total citations
146 papers, 2.2k citations indexed

About

G. Perna is a scholar working on Electrical and Electronic Engineering, Biophysics and Materials Chemistry. According to data from OpenAlex, G. Perna has authored 146 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 40 papers in Biophysics and 38 papers in Materials Chemistry. Recurrent topics in G. Perna's work include Spectroscopy Techniques in Biomedical and Chemical Research (38 papers), Spectroscopy and Chemometric Analyses (29 papers) and Semiconductor Quantum Structures and Devices (27 papers). G. Perna is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (38 papers), Spectroscopy and Chemometric Analyses (29 papers) and Semiconductor Quantum Structures and Devices (27 papers). G. Perna collaborates with scholars based in Italy, Russia and United States. G. Perna's co-authors include V. Capozzi, Maria Lasalvia, M. Ambrico, T. Ligonzo, A. Minafra, P. F. Biagi, L. Schiavulli, Stefania Pagliara, Mauro Pallara and Francesco Gaeta and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Gastroenterology.

In The Last Decade

G. Perna

143 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Perna Italy 26 734 696 363 318 276 146 2.2k
V. Capozzi Italy 28 1.0k 1.4× 1.2k 1.7× 348 1.0× 393 1.2× 445 1.6× 168 2.7k
Peter Guttmann Germany 32 616 0.8× 788 1.1× 570 1.6× 302 0.9× 431 1.6× 156 3.7k
A. Nucara Italy 24 472 0.6× 554 0.8× 294 0.8× 149 0.5× 442 1.6× 137 2.8k
Sergei G. Kruglik France 28 199 0.3× 482 0.7× 347 1.0× 311 1.0× 470 1.7× 77 2.4k
Yves Maréchal France 32 636 0.9× 733 1.1× 557 1.5× 165 0.5× 1.3k 4.9× 143 4.2k
Michael H.G. Duits Netherlands 34 963 1.3× 946 1.4× 1.4k 3.8× 43 0.1× 274 1.0× 110 3.7k
Jyrki Kauppinen Finland 21 488 0.7× 214 0.3× 459 1.3× 384 1.2× 484 1.8× 49 2.9k
Richard D. Snook United Kingdom 25 348 0.5× 370 0.5× 945 2.6× 347 1.1× 498 1.8× 78 2.7k
Yuri Feldman Israel 42 1.7k 2.2× 1.4k 2.0× 2.2k 6.1× 593 1.9× 804 2.9× 180 5.5k
H. Ishida Japan 43 1.0k 1.4× 1.4k 2.0× 317 0.9× 84 0.3× 399 1.4× 147 6.1k

Countries citing papers authored by G. Perna

Since Specialization
Citations

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

Fields of papers citing papers by G. Perna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Perna

This figure shows the co-authorship network connecting the top 25 collaborators of G. Perna. A scholar is included among the top collaborators of G. Perna 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 G. Perna. G. Perna 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.
2.
Lasalvia, Maria, Crescenzio Gallo, V. Capozzi, & G. Perna. (2024). Classifying Raman Spectra of Colon Cells Based on Machine Learning Algorithms. Photonics. 11(3). 275–275. 2 indexed citations
3.
Mostert, A. Bernardus, G. Perna, Maria Lasalvia, et al.. (2024). Exploring the chemistry and composition of black soldier fly eumelanin, a material for a circular economy. Materials Advances. 5(22). 8986–8999. 4 indexed citations
4.
Lasalvia, Maria, V. Capozzi, & G. Perna. (2024). Classification of healthy and cancerous colon cells by Fourier transform infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 321. 124683–124683. 2 indexed citations
5.
Perna, G., V. Capozzi, & Maria Lasalvia. (2023). Classification of Healthy and Cancer Colon Cells Grown on Glass Coverslip by Means of Fourier Transform Infrared Spectroscopy and Multivariate Methods. Photonics. 10(4). 481–481. 3 indexed citations
6.
Lasalvia, Maria, Crescenzio Gallo, V. Capozzi, & G. Perna. (2023). Discrimination of Healthy and Cancerous Colon Cells Based on FTIR Spectroscopy and Machine Learning Algorithms. Applied Sciences. 13(18). 10325–10325. 6 indexed citations
7.
Lasalvia, Maria, G. Perna, Marianna Portaccio, et al.. (2023). Vibrational spectroscopies for biochemical investigation of X-ray exposure effects on SH-SY5Y human neuroblastoma cells. Radiation and Environmental Biophysics. 62(3). 289–305. 3 indexed citations
8.
Ambrico, M., Maria Lasalvia, T. Ligonzo, et al.. (2020). Recognition of healthy and cancerous breast cells: Sensing the differences by dielectric spectroscopy. Medical Physics. 47(10). 5373–5382. 2 indexed citations
9.
Lasalvia, Maria, Rosella Scrima, G. Perna, et al.. (2018). Exposure to 1.8 GHz electromagnetic fields affects morphology, DNA-related Raman spectra and mitochondrial functions in human lympho-monocytes. PLoS ONE. 13(2). e0192894–e0192894. 18 indexed citations
10.
Gianfrani, Carmen, Gianfranco Mamone, Barbara la Gatta, et al.. (2017). Microwave-based treatments of wheat kernels do not abolish gluten epitopes implicated in celiac disease. Food and Chemical Toxicology. 101. 105–113. 21 indexed citations
11.
Cicala, G., L. Velardi, Gerardo Palazzo, et al.. (2017). Comparison between photoemitting and colloidal properties of nanodiamond particles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 532. 493–500. 7 indexed citations
12.
Gallo, Crescenzio, V. Capozzi, Maria Lasalvia, & G. Perna. (2016). An algorithm for estimation of background signal of Raman spectra from biological cell samples using polynomial functions of different degrees. Vibrational Spectroscopy. 83. 132–137. 17 indexed citations
13.
Lasalvia, Maria, Stefano Castellani, G. Perna, et al.. (2016). Human airway epithelial cells investigated by atomic force microscopy: A hint to cystic fibrosis epithelial pathology. Experimental Cell Research. 348(1). 46–55. 15 indexed citations
14.
Aloi, Antonio, et al.. (2015). Ultrafast transient absorption of eumelanin suspensions: the role of inverse Raman scattering. Biomedical Optics Express. 6(10). 4000–4000. 4 indexed citations
15.
Delfino, Ines, G. Perna, Maria Lasalvia, et al.. (2015). Visible micro-Raman spectroscopy of single human mammary epithelial cells exposed to x-ray radiation. Journal of Biomedical Optics. 20(3). 35003–35003. 34 indexed citations
16.
Perna, G., Maria Lasalvia, Peter D’Antonio, et al.. (2014). Morphology of synthetic DOPA-eumelanin deposited on glass and mica substrates: An atomic force microscopy investigation. Micron. 64. 28–33. 5 indexed citations
17.
18.
Lasalvia, Maria, et al.. (2012). Scale-independent roughness value of cell membranes studied by means of AFM technique. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(12). 3141–3148. 84 indexed citations
19.
Civita, Massimo, Paola Forti, G. Perna, & B. Turi. (1988). Interaction between Pb - Zn Mine of Gutturu Pala and local groundwater resources (Fluminese - Sardinia, Italy). IAHS-AISH publication. 176(7). 1083–1088. 1 indexed citations
20.
Hara, Yuta, et al.. (1964). THE VALUE OF THE JAPANESE GASTROCAMERA FOR THE DIAGNOSIS OF GASTRIC PATHOLOGY.. PubMed. 10. 6–9. 4 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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