G Curci

3.8k total citations · 1 hit paper
77 papers, 2.8k citations indexed

About

G Curci is a scholar working on Nuclear and High Energy Physics, Epidemiology and Biomedical Engineering. According to data from OpenAlex, G Curci has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 8 papers in Epidemiology and 8 papers in Biomedical Engineering. Recurrent topics in G Curci's work include Quantum Chromodynamics and Particle Interactions (38 papers), Particle physics theoretical and experimental studies (35 papers) and High-Energy Particle Collisions Research (17 papers). G Curci is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (38 papers), Particle physics theoretical and experimental studies (35 papers) and High-Energy Particle Collisions Research (17 papers). G Curci collaborates with scholars based in Italy, Switzerland and Germany. G Curci's co-authors include R. Ferrari, R. Petronzio, W. Furmański, M. Greco, Giampiero Paffuti, Pietro Menotti, Guido Altarelli, S. Petrarca, Y. N. Srivastava and G. Veneziano and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

G Curci

69 papers receiving 2.7k citations

Hit Papers

Evolution of parton densities beyond leading order 1980 2026 1995 2010 1980 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Curci Italy 23 2.5k 207 184 170 156 77 2.8k
С. Окубо United States 31 3.1k 1.3× 207 1.0× 150 0.8× 468 2.8× 127 0.8× 129 3.6k
Kazuya Yonekura Japan 22 901 0.4× 261 1.3× 372 2.0× 202 1.2× 131 0.8× 86 1.3k
A. Love United Kingdom 23 1.2k 0.5× 229 1.1× 687 3.7× 754 4.4× 315 2.0× 87 2.3k
H. Kluge Germany 28 1.7k 0.7× 94 0.5× 106 0.6× 723 4.3× 173 1.1× 115 2.4k
George Fleming United States 30 2.5k 1.0× 58 0.3× 244 1.3× 152 0.9× 236 1.5× 116 2.8k
Z. Koba Denmark 13 1.1k 0.5× 217 1.0× 128 0.7× 180 1.1× 96 0.6× 50 1.4k
P. Castorina Italy 20 1.1k 0.4× 366 1.8× 449 2.4× 436 2.6× 64 0.4× 113 1.5k
Elizabeth Jenkins United States 41 6.1k 2.5× 156 0.8× 762 4.1× 194 1.1× 100 0.6× 80 6.2k
Richard A. Brandt United States 19 1.4k 0.6× 171 0.8× 146 0.8× 309 1.8× 121 0.8× 78 1.7k
Simon Hands United Kingdom 33 3.3k 1.3× 141 0.7× 375 2.0× 1.0k 6.0× 827 5.3× 147 4.1k

Countries citing papers authored by G Curci

Since Specialization
Citations

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

Fields of papers citing papers by G Curci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Curci

This figure shows the co-authorship network connecting the top 25 collaborators of G Curci. A scholar is included among the top collaborators of G Curci 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 Curci. G Curci 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.
Mencattini, Arianna, G Curci, Paola Casti, et al.. (2025). MEA-Based Graph Deviation Network for Early Autism Syndrome Signatures in Human Forebrain Organoids. Cyborg and Bionic Systems. 6. 441–441.
2.
Chamorro-García, Alejandro, Arianna Mencattini, Paola Spitalieri, et al.. (2025). Continuous pH Monitoring in Organ‐on‐Chip Devices with Single‐Step Fabricated DNA Scaffold Sensors Conjugated Hydrogels and Machine Learning. Advanced Functional Materials. 35(36). 1 indexed citations
3.
Camera, Francesca, Arianna Mencattini, Arianna Casciati, et al.. (2024). Lab-on-Chip Label-Free Sensing System for Electroporation Based on Time-Lapse Microscopy. IEEE Sensors Journal. 24(22). 36306–36315. 2 indexed citations
4.
D’Orazio, Michele, Joanna Filippi, G Curci, et al.. (2024). Cells in the 3D biomatrix on-chip: better mimicking the real micro-physiological system. SHILAP Revista de lepidopterología. 5. 100229–100229. 4 indexed citations
5.
Filippi, Joanna, Michele D’Orazio, G Curci, et al.. (2024). Integrating machine learning and biosensors in microfluidic devices: A review. Biosensors and Bioelectronics. 263. 116632–116632. 25 indexed citations
6.
Filippi, Joanna, Paola Casti, Michela Murdocca, et al.. (2024). Cell Electrokinetic Fingerprint: A Novel Approach Based on Optically Induced Dielectrophoresis (ODEP) for In‐Flow Identification of Single Cells. Small Methods. 8(8). e2300923–e2300923. 4 indexed citations
7.
Mencattini, Arianna, Micol Massimiani, Valentina Lacconi, et al.. (2023). Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications. Sensors and Actuators B Chemical. 401. 135009–135009. 9 indexed citations
8.
Conte, Annamaria, Maria Goffredo, Luca Candeloro, et al.. (2016). Analysis of climatic factors involved in the BTV-1 incursion in Central Italy in 2014.. PubMed. 52(3-4). 223–229. 4 indexed citations
9.
Bisi, Davide, Mario Federico, Mario Sarti, Franco Barbieri, & G Curci. (1989). [The onset of double metachronous neoplasms 29 years after the diagnosis of Hodgkin's disease].. PubMed. 80(5). 511–4.
10.
Curci, G & G. Veneziano. (1987). Supersymmetry and the lattice: A reconciliation?. Nuclear Physics B. 292. 555–572. 109 indexed citations
11.
Sacchi, Stefano, et al.. (1985). Serum ferritin concentration in malignant lymphomas.. PubMed. 27(1). 29–31. 2 indexed citations
12.
Curci, G & M. Greco. (1982). QCD predictions for energy moments in e+e− single arm experiments. Physics Letters B. 115(3). 247–251. 2 indexed citations
13.
Caracciolo, Sergio, G Curci, & Pietro Menotti. (1982). The propagator in the A0 = 0 gauge. Physics Letters B. 113(4). 311–314. 95 indexed citations
14.
Curci, G & R. Ferrari. (1976). The unitarity problem and the zero-mass limit for a model of massive yang-mills theory. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 35(1). 1–14. 49 indexed citations
15.
Curci, G & R. Ferrari. (1976). An alternative approach to the proof of unitarity for gauge theories. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 35(3). 273–279. 70 indexed citations
16.
Curci, G, et al.. (1973). Studies on Blood Serum Levels of Rifampicin in Patients with Normal and Impaired Liver Function. Chemotherapy. 19(4). 197–205. 7 indexed citations
17.
Curci, G, et al.. (1971). [On renal carcinoma with non-urological symptomatology].. PubMed. 62(30). 1551–61.
18.
Curci, G, et al.. (1970). [Initial experiences in liver scintigraphy in Hodgkin's disease].. PubMed. 55(11). 727–30.
19.
Curci, G, et al.. (1969). [On the distribution between the blood and cerebrospinal fluid of rifamycin AMP].. PubMed. 60(48). 2399–402. 3 indexed citations
20.
Curci, G, et al.. (1969). [Pharmacokinetics of rifomycin].. PubMed. 60(3). 276–87. 3 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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