S. Di Luzio

1.0k total citations
37 papers, 795 citations indexed

About

S. Di Luzio is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Di Luzio has authored 37 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Di Luzio's work include Atomic and Subatomic Physics Research (8 papers), Advanced MRI Techniques and Applications (8 papers) and ECG Monitoring and Analysis (7 papers). S. Di Luzio is often cited by papers focused on Atomic and Subatomic Physics Research (8 papers), Advanced MRI Techniques and Applications (8 papers) and ECG Monitoring and Analysis (7 papers). S. Di Luzio collaborates with scholars based in Italy, Belgium and Germany. S. Di Luzio's co-authors include Gian Luca Romani, Silvia Comani, Marcella Reale, Paolo Amerio, Raffaella Muraro, Giovina Vianale, Dante Mantini, Luigi Donato, Cosimo Del Gratta and Alfredo Grilli and has published in prestigious journals such as Neurobiology of Aging, Physics in Medicine and Biology and British Journal of Dermatology.

In The Last Decade

S. Di Luzio

33 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Di Luzio Italy 17 220 200 179 137 129 37 795
Alan C. Nelson United States 15 271 1.2× 288 1.4× 53 0.3× 154 1.1× 93 0.7× 51 1.2k
Ángel Moreno United States 16 40 0.2× 356 1.8× 77 0.4× 45 0.3× 236 1.8× 27 1.0k
Ch. Weiß Germany 17 19 0.1× 66 0.3× 178 1.0× 67 0.5× 407 3.2× 77 1.2k
Calum Gray United Kingdom 21 24 0.1× 233 1.2× 325 1.8× 129 0.9× 226 1.8× 62 1.3k
Nicola Martini Italy 18 28 0.1× 289 1.4× 74 0.4× 343 2.5× 116 0.9× 77 1.0k
Michaël Sdika France 16 55 0.3× 517 2.6× 37 0.2× 23 0.2× 92 0.7× 45 946
Monika Dezortová Czechia 24 37 0.2× 638 3.2× 155 0.9× 76 0.6× 239 1.9× 81 1.4k
Haiying Tang United States 20 15 0.1× 373 1.9× 105 0.6× 165 1.2× 317 2.5× 46 1.2k
L. Schleinkofer Germany 10 54 0.2× 727 3.6× 63 0.4× 155 1.1× 53 0.4× 16 1.1k
Hisao Yamaguchi Japan 17 109 0.5× 84 0.4× 160 0.9× 212 1.5× 260 2.0× 103 962

Countries citing papers authored by S. Di Luzio

Since Specialization
Citations

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

Fields of papers citing papers by S. Di Luzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Di Luzio. 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 S. Di Luzio. The network helps show where S. Di Luzio may publish in the future.

Co-authorship network of co-authors of S. Di Luzio

This figure shows the co-authorship network connecting the top 25 collaborators of S. Di Luzio. A scholar is included among the top collaborators of S. Di Luzio 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 S. Di Luzio. S. Di Luzio 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.
d’Alessandro, Nicola, Camillo Di Giulio, Patrizia Di Iorio, et al.. (2010). Region-specific effects on brain metabolites of hypoxia and hyperoxia overlaid on cerebral ischemia in young and old rats: a quantitative proton magnetic resonance spectroscopy study. Journal of Biomedical Science. 17(1). 14–14. 35 indexed citations
2.
3.
Vianale, Giovina, et al.. (2008). Extremely low frequency electromagnetic field enhances human keratinocyte cell growth and decreases proinflammatory chemokine production. British Journal of Dermatology. 158(6). 1189–1196. 123 indexed citations
4.
Macrì, Monica, Nicola d’Alessandro, Camillo Di Giulio, et al.. (2005). Regional changes in the metabolite profile after long-term hypoxia-ischemia in brains of young and aged rats: A quantitative proton MRS study. Neurobiology of Aging. 27(1). 98–104. 32 indexed citations
5.
Comani, Silvia, et al.. (2005). Optimal filter design for shielded and unshielded ambient noise reduction in fetal magnetocardiography. Physics in Medicine and Biology. 50(23). 5509–5521. 9 indexed citations
6.
Comani, Silvia, et al.. (2005). Automatic detection of cardiac waves on fetal magnetocardiographic signals. Physiological Measurement. 26(4). 459–475. 6 indexed citations
7.
Comani, Silvia, Marco Liberati, Dante Mantini, et al.. (2005). Beat‐to‐beat estimate of fetal cardiac time intervals using magnetocardiography: longitudinal charts of normality ranges and individual trends. Acta Obstetricia Et Gynecologica Scandinavica. 84(12). 1175–1180. 13 indexed citations
8.
Comani, Silvia, et al.. (2004). Fetal magnetocardiographic mapping using independent component analysis. Physiological Measurement. 25(6). 1459–1472. 27 indexed citations
9.
Comani, Silvia, et al.. (2004). Time course reconstruction of fetal cardiac signals from fMCG: independent component analysis versus adaptive maternal beat subtraction. Physiological Measurement. 25(5). 1305–1321. 38 indexed citations
10.
11.
Merla, Arcangelo, et al.. (2003). Skin blood flow rate estimation through functions infrared imaging analysis. IFAC Proceedings Volumes. 36(15). 195–197. 1 indexed citations
12.
Merla, Arcangelo, Gian Luca Romani, S. Di Luzio, et al.. (2002). Raynaud's Phenomenon: Infrared Functional Imaging Applied to Diagnosis and Drugs Effects. International Journal of Immunopathology and Pharmacology. 15(1). 41–52. 19 indexed citations
13.
Merla, Arcangelo, Luigi Donato, S. Di Luzio, & Gian Luca Romani. (2002). Quantifying the relevance and stage of disease with the Tau image technique. IEEE Engineering in Medicine and Biology Magazine. 21(6). 86–91. 22 indexed citations
14.
Merla, Arcangelo, Luigi Donato, S. Di Luzio, et al.. (2002). Infrared functional imaging applied to Raynaud's phenomenon. IEEE Engineering in Medicine and Biology Magazine. 21(6). 73–79. 46 indexed citations
15.
Penna, Stefania Della, Cosimo Del Gratta, S. Di Luzio, et al.. (1999). The use of an inhomogeneous applied field improves the spatial sensitivity profile of anin vivoSQUID susceptometer. Physics in Medicine and Biology. 44(3). N21–N29. 8 indexed citations
16.
Felaco, Mario, Marcella Reale, Alfredo Grilli, et al.. (1999). Impact of extremely low frequency electromagnetic fields on CD4 expression in peripheral blood mononuclear cells. Molecular and Cellular Biochemistry. 201(1-2). 49–55. 15 indexed citations
17.
Pasquarelli, A., Cosimo Del Gratta, Stefania Della Penna, et al.. (1996). A SQUID based AC susceptometer for the investigation of large samples. Physics in Medicine and Biology. 41(11). 2533–2539. 17 indexed citations
18.
Gratta, Cosimo Del, Stefania Della Penna, Pasquale Battista, et al.. (1995). Detection and counting of specific cell populations by means of magnetic markers linked to monoclonal antibodies. Physics in Medicine and Biology. 40(4). 671–681. 11 indexed citations
19.
Basile, Marco, Matteo Neri, Alessandro Carriero, et al.. (1992). Measurement of segmental transit through the gut in man. Digestive Diseases and Sciences. 37(10). 1537–1543. 28 indexed citations
20.
Macrì, Monica, Marco Basile, Alessandro Carriero, et al.. (1991). Measurement of gastrointestinal transit time by means of biomagnetic instrumentation: preliminary results. Clinical Physics and Physiological Measurement. 12(A). 111–115. 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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