Luca Parisi

2.3k total citations
71 papers, 1.8k citations indexed

About

Luca Parisi is a scholar working on Organic Chemistry, Neurology and Molecular Biology. According to data from OpenAlex, Luca Parisi has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Organic Chemistry, 17 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Luca Parisi's work include Catalytic C–H Functionalization Methods (14 papers), Catalytic Cross-Coupling Reactions (9 papers) and Synthesis and Biological Evaluation (7 papers). Luca Parisi is often cited by papers focused on Catalytic C–H Functionalization Methods (14 papers), Catalytic Cross-Coupling Reactions (9 papers) and Synthesis and Biological Evaluation (7 papers). Luca Parisi collaborates with scholars based in Italy, United Kingdom and New Zealand. Luca Parisi's co-authors include Sandro Cacchi, Giancarlo Fabrizi, Antonella Goggiamani, Narrendar RaviChandran, Fabio Marinelli, Roberta Bernini, Antonio Arcadi, Francesco Pierelli, Mariano Serrao and Francesco Fattapposta and has published in prestigious journals such as Neurology, Diabetologia and The Journal of Organic Chemistry.

In The Last Decade

Luca Parisi

67 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Parisi Italy 23 1.1k 201 171 153 97 71 1.8k
Pankaj Daga United States 20 180 0.2× 53 0.3× 195 1.1× 372 2.4× 69 0.7× 47 1.3k
Zhe Zhang China 25 325 0.3× 30 0.1× 49 0.3× 371 2.4× 33 0.3× 125 1.9k
Keisuke Yamaguchi Japan 25 96 0.1× 43 0.2× 101 0.6× 371 2.4× 36 0.4× 128 1.5k
Michael L. Martini United States 19 80 0.1× 299 1.5× 44 0.3× 508 3.3× 45 0.5× 91 1.6k
Yongqiang Zhao China 19 302 0.3× 161 0.8× 35 0.2× 309 2.0× 5 0.1× 90 1.6k
Hongming Li United States 22 248 0.2× 18 0.1× 41 0.2× 167 1.1× 229 2.4× 96 1.6k
Chaodong Wang China 21 137 0.1× 562 2.8× 346 2.0× 453 3.0× 13 0.1× 104 1.6k
Hojin Choi South Korea 19 97 0.1× 106 0.5× 142 0.8× 332 2.2× 36 0.4× 102 1.1k
Yaping Wang China 18 84 0.1× 19 0.1× 48 0.3× 312 2.0× 138 1.4× 35 1000
Yi He China 16 51 0.0× 451 2.2× 101 0.6× 238 1.6× 17 0.2× 71 1.4k

Countries citing papers authored by Luca Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Parisi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Parisi. A scholar is included among the top collaborators of Luca Parisi 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 Luca Parisi. Luca Parisi 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.
Zhou, Xiaoyan, Luca Parisi, Wentao Huang, et al.. (2025). A novel integrative multimodal classifier to enhance the diagnosis of Parkinson’s disease. Briefings in Bioinformatics. 26(2). 2 indexed citations
2.
Parisi, Luca, et al.. (2024). Optimal Machine Learning- and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis. Engineering Applications of Artificial Intelligence. 142. 109924–109924. 2 indexed citations
3.
Parisi, Luca, Daniel Neagu, Narrendar RaviChandran, Renfei Ma, & Felician Campean. (2024). Optimal evolutionary framework-based activation function for image classification. Knowledge-Based Systems. 299. 112025–112025. 3 indexed citations
4.
Xu, Meng‐Yang, et al.. (2024). 3D physiologically-informed deep learning for drug discovery of a novel vascular endothelial growth factor receptor-2 (VEGFR2). Heliyon. 10(16). e35769–e35769. 3 indexed citations
5.
Parisi, Luca, et al.. (2023). Quantum droplets in imbalanced atomic mixtures. Physical Review Research. 5(3). 13 indexed citations
6.
Youseffi, Mansour, et al.. (2023). Imaging and analysis of paediatric optic pathway glioma and craniopharyngioma: A case study. AIP conference proceedings. 2956. 30008–30008.
7.
8.
Pierelli, Francesco, Luca Parisi, Francesco Fattapposta, et al.. (2009). Multimodal evoked potentials in HIV-1-seropositive patients: relationship between the immune impairment and the neurophysiological function. Acta Neurologica Scandinavica. 93(4). 266–271. 6 indexed citations
9.
Parisi, Vincenzo, Francesco Pierelli, Gianluca Coppola, et al.. (2007). Reduction of optic nerve fiber layer thickness in CADASIL. European Journal of Neurology. 14(6). 627–631. 20 indexed citations
10.
Parisi, Luca, Francesco Pierelli, G Amabile, et al.. (2003). Muscular cramps: proposals for a new classification. Acta Neurologica Scandinavica. 107(3). 176–186. 47 indexed citations
11.
Serrao, Mariano, Luca Parisi, Giacomo Valente, et al.. (2002). L-Dopa decreases cutaneous nociceptive inhibition of motor activity in Parkinson's disease. Acta Neurologica Scandinavica. 105(3). 196–201. 38 indexed citations
12.
Fattapposta, Francesco, Francesco Pierelli, Filomena My, et al.. (2002). Psychophysiological approach in Parkinson's disease: L -dopa effects on preprogramming and control activity. Neurological Sciences. 23(0). s73–s74. 1 indexed citations
13.
Fattapposta, Francesco, Francesco Pierelli, Filomena My, et al.. (2002). l-dopa effects on preprogramming and control activity in a skilled motor act in Parkinson's disease. Clinical Neurophysiology. 113(2). 243–253. 13 indexed citations
14.
Parisi, Luca, Mariano Serrao, Paolo Giorgi Rossi, et al.. (2000). Afterdischarge activity in neuropathic patients with frequent muscle cramps. Acta Neurologica Scandinavica. 102(6). 359–362. 10 indexed citations
15.
Rossi, Paolo Giorgi, Mariano Serrao, G Amabile, et al.. (2000). A simple method for estimating conduction velocity of the spinothalamic tract in healthy humans. Clinical Neurophysiology. 111(11). 1907–1915. 26 indexed citations
16.
Serrao, Mariano, et al.. (1998). A case of myokymia-cramp syndrome successfully treated with gabapentin. Acta Neurologica Scandinavica. 98(6). 458–460. 8 indexed citations
17.
Parisi, Luca, et al.. (1996). Pre-symptomatic neurological involvement in Behçet's disease: the diagnostic role of magnetic transcranial stimulation. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control. 101(1). 42–47. 18 indexed citations
18.
Uccioli, Luigi, et al.. (1995). Electrophysiological assessment of visual function in newlydiagnosed IDDM patients. Diabetologia. 38(7). 804–808. 36 indexed citations
19.
Parisi, Luca, et al.. (1994). Neurophysiological Evaluation of Bell’s Palsy: Electroneurography and Transcranial Magnetic Stimulation. PubMed. 261–263. 1 indexed citations
20.
Parisi, Luca, et al.. (1987). A case of facial hemiatrophy associated with linear scleroderma and homolateral masseter spasm. Neurological Sciences. 8(1). 63–65. 11 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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