V. Capozzi

3.2k total citations
168 papers, 2.7k citations indexed

About

V. Capozzi is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, V. Capozzi has authored 168 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Materials Chemistry, 55 papers in Atomic and Molecular Physics, and Optics and 55 papers in Electrical and Electronic Engineering. Recurrent topics in V. Capozzi's work include Spectroscopy Techniques in Biomedical and Chemical Research (38 papers), Semiconductor Quantum Structures and Devices (34 papers) and Spectroscopy and Chemometric Analyses (31 papers). V. Capozzi is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (38 papers), Semiconductor Quantum Structures and Devices (34 papers) and Spectroscopy and Chemometric Analyses (31 papers). V. Capozzi collaborates with scholars based in Italy, Switzerland and Russia. V. Capozzi's co-authors include G. Perna, Maria Lasalvia, M. Ambrico, A. Minafra, P. F. Biagi, M. Montagna, T. Ligonzo, J. L. Staehli, Gian F. Lorusso and V. Augelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

V. Capozzi

167 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Capozzi Italy 28 1.2k 1.0k 445 393 348 168 2.7k
G. Perna Italy 26 696 0.6× 734 0.7× 276 0.6× 318 0.8× 363 1.0× 146 2.2k
Mark A. Haidekker United States 30 1.4k 1.2× 271 0.3× 235 0.5× 258 0.7× 583 1.7× 87 3.9k
Paul Ben Ishai Israel 22 407 0.3× 563 0.6× 317 0.7× 217 0.6× 609 1.8× 77 1.8k
Osamu Nakamura Japan 33 1.6k 1.4× 1.7k 1.6× 670 1.5× 337 0.9× 1.8k 5.1× 223 5.0k
Greg Gillen United States 30 960 0.8× 1.1k 1.1× 187 0.4× 69 0.2× 732 2.1× 111 3.0k
Thomas G. Mayerhöfer Germany 26 542 0.5× 427 0.4× 600 1.3× 402 1.0× 747 2.1× 119 2.4k
Atsushi Nakamura Japan 31 1.7k 1.4× 1.3k 1.3× 381 0.9× 58 0.1× 466 1.3× 230 3.3k
Véronique Trappe Switzerland 28 2.0k 1.7× 134 0.1× 361 0.8× 116 0.3× 883 2.5× 56 3.6k

Countries citing papers authored by V. Capozzi

Since Specialization
Citations

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

Fields of papers citing papers by V. Capozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Capozzi

This figure shows the co-authorship network connecting the top 25 collaborators of V. Capozzi. A scholar is included among the top collaborators of V. Capozzi 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 V. Capozzi. V. Capozzi 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.
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
4.
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
5.
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
6.
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
7.
Gallo, Crescenzio & V. Capozzi. (2020). A Wafer Bin Map “Relaxed” Clustering Algorithm for Improving Semiconductor Production Yield. SHILAP Revista de lepidopterología. 10(1). 231–245. 6 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.
D’Apolito, Maria, Anna Laura Colia, Maria Lasalvia, et al.. (2017). Urea-induced ROS accelerate senescence in endothelial progenitor cells. Atherosclerosis. 263. 127–136. 24 indexed citations
11.
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
12.
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
13.
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
14.
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
15.
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
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.
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
18.
Buttiglione, Maura, et al.. (2007). Radiofrequency radiation (900 MHz) induces Egr‐1 gene expression and affects cell‐cycle control in human neuroblastoma cells. Journal of Cellular Physiology. 213(3). 759–767. 92 indexed citations
19.
Capozzi, V., et al.. (1996). Optical characterization of fullerite C60 thin films. Synthetic Metals. 77(1-3). 3–5. 8 indexed citations
20.
Fontana, A., G. Mariotto, M. Montagna, et al.. (1978). Temperature dependence of anomalous and ordinary Raman scattering in β-AgI. Solid State Communications. 28(1). 35–37. 12 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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