Gianfranco Caselli

2.1k total citations
84 papers, 1.7k citations indexed

About

Gianfranco Caselli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Gianfranco Caselli has authored 84 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Pharmacology. Recurrent topics in Gianfranco Caselli's work include Receptor Mechanisms and Signaling (15 papers), Inflammatory mediators and NSAID effects (15 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Gianfranco Caselli is often cited by papers focused on Receptor Mechanisms and Signaling (15 papers), Inflammatory mediators and NSAID effects (15 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Gianfranco Caselli collaborates with scholars based in Italy, India and United Kingdom. Gianfranco Caselli's co-authors include Riccardo Bertini, Marco Lanza, Laura Mennuni, Riccardo Chiusaroli, Lucio C. Rovati, G. Melillo, Cinzia Bizzarri, Pietro Ghezzi, Francesco Makovec and Andrea Cappelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Biotechnology.

In The Last Decade

Gianfranco Caselli

82 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianfranco Caselli Italy 23 736 340 215 205 201 84 1.7k
Shuji Watanabe Japan 25 682 0.9× 151 0.4× 234 1.1× 224 1.1× 209 1.0× 96 2.5k
R Cirillo Italy 23 1.1k 1.4× 639 1.9× 195 0.9× 264 1.3× 245 1.2× 69 2.5k
José Luis Urdiales Spain 22 984 1.3× 314 0.9× 78 0.4× 158 0.8× 110 0.5× 48 1.6k
Antonina Azzolina Italy 28 916 1.2× 416 1.2× 177 0.8× 53 0.3× 145 0.7× 53 2.0k
Inmaculada Posadas Spain 25 1.0k 1.4× 202 0.6× 179 0.8× 56 0.3× 205 1.0× 42 2.1k
Mario Pinza Italy 22 426 0.6× 257 0.8× 280 1.3× 105 0.5× 94 0.5× 69 1.4k
Seong Hwan Kim South Korea 29 1.4k 1.9× 175 0.5× 291 1.4× 104 0.5× 151 0.8× 111 2.3k
Stefano Marini Italy 29 1.0k 1.4× 163 0.5× 137 0.6× 86 0.4× 389 1.9× 103 2.3k
Abdelkader E. Ashour Saudi Arabia 27 648 0.9× 333 1.0× 219 1.0× 64 0.3× 69 0.3× 74 1.8k
Л. І. Остапченко Ukraine 21 459 0.6× 96 0.3× 119 0.6× 162 0.8× 164 0.8× 179 1.3k

Countries citing papers authored by Gianfranco Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Gianfranco Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianfranco Caselli

This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco Caselli. A scholar is included among the top collaborators of Gianfranco Caselli 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 Gianfranco Caselli. Gianfranco Caselli 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.
Paolino, Marco, Luigi Talarico, Germano Giuliani, et al.. (2023). Ferulated Poly(vinyl alcohol) based hydrogels. Heliyon. 9(11). e22330–e22330. 3 indexed citations
2.
Ramot, Yuval, Gianfranco Caselli, Luigi Aurisicchio, et al.. (2021). Toxicity and Local Tolerance of COVID- eVax, a Plasmid DNA Vaccine for SARS-CoV-2, Delivered by Electroporation. Toxicologic Pathology. 49(7). 1255–1268. 5 indexed citations
3.
4.
Paolino, Marco, Germano Giuliani, Alessandro Donati, et al.. (2018). Poly-histidine grafting leading to fishbone-like architectures. RSC Advances. 8(16). 8638–8656. 12 indexed citations
5.
Caselli, Gianfranco, Albino Bonazzi, Marco Lanza, et al.. (2018). Pharmacological characterisation of CR6086, a potent prostaglandin E2 receptor 4 antagonist, as a new potential disease-modifying anti-rheumatic drug. Arthritis Research & Therapy. 20(1). 39–39. 32 indexed citations
6.
Lanza, Marco, et al.. (2017). Efficacy of CR4056, a first-in-class imidazoline-2 analgesic drug, in comparison with naproxen in two rat models of osteoarthritis. Journal of Pain Research. Volume 10. 1033–1043. 15 indexed citations
7.
Giambelli, R., et al.. (2016). Adiponectin serum levels and disease severity in the STR/Ort mouse model of osteoarthritis. Osteoarthritis and Cartilage. 24. S85–S85. 1 indexed citations
8.
Caselli, Gianfranco, et al.. (2015). Analgesic efficacy of cr4056, a novel i2-imidazoline receptor ligand, in the rat monosodium iodoacetate model of osteoarthritic pain. Osteoarthritis and Cartilage. 23. A358–A358. 2 indexed citations
9.
Persiani, Stefano, et al.. (2013). Silibinin hemisuccinate binding to proteins in plasma and blood cell/plasma partitioning in mouse, rat, dog and man in vitro. Drug metabolism and drug interactions. 28(2). 115–122. 3 indexed citations
10.
Chiusaroli, Riccardo, Marcella Visentini, Laura Mennuni, et al.. (2013). Targeting of ADAMTS5's ancillary domain with the recombinant mAb CRB0017 ameliorates disease progression in a spontaneous murine model of osteoarthritis. Osteoarthritis and Cartilage. 21(11). 1807–1810. 50 indexed citations
11.
12.
Rizzo, Milena, et al.. (2008). Pharmacokinetic study of a new angiotensin-AT1 antagonist by HPLC. Journal of Pharmaceutical and Biomedical Analysis. 48(2). 422–427. 2 indexed citations
13.
Chiusaroli, Riccardo, et al.. (2007). 419 GLUCOSAMINE SULFATE DELAYS PROGRESSION OF SPONTANEOUS OSTEOARTHRITIS IN THE STR/ORT MOUSE MODEL. Osteoarthritis and Cartilage. 15. C227–C228. 2 indexed citations
14.
Losi, Gabriele, et al.. (2005). Functional in vitro characterization of CR 3394: A novel voltage dependent N-methyl-d-aspartate (NMDA) receptor antagonist. Neuropharmacology. 50(3). 277–285. 12 indexed citations
15.
Michieli, Paolo, Cristina Basilico, Annarita De Luca, et al.. (2002). An HGF–MSP chimera disassociates the trophic properties of scatter factors from their pro-invasive activity. Nature Biotechnology. 20(5). 488–495. 21 indexed citations
16.
Mascagni, Paolo, Leda Biordi, Stefano Martinotti, et al.. (2000). R- and S-isomers of nonsteroidal anti-inflammatory drugs differentially regulate cytokine production.. PubMed. 11(2). 185–92. 14 indexed citations
17.
Chiusaroli, Riccardo, et al.. (2000). Lipopolysaccharide-induced Lung Injury in Mice. I. Concomitant Evaluation of Inflammatory Cells and Haemorrhagic Lung Damage. Pulmonary Pharmacology & Therapeutics. 13(2). 61–69. 96 indexed citations
18.
Ghezzi, Pietro, et al.. (2000). LPS INDUCES IL-6 IN THE BRAIN AND IN SERUM LARGELY THROUGH TNF PRODUCTION. Cytokine. 12(8). 1205–1210. 45 indexed citations
19.
Caselli, Gianfranco, et al.. (1991). Determination of Nuvenzepine in Human Plasma by a Sensitive [3H]Pirenzepine Radioreceptor Binding Assay. Journal of Pharmaceutical Sciences. 80(2). 173–177. 4 indexed citations
20.
Caselli, Gianfranco, et al.. (1990). Antihistaminic/antiallergic activity of 2-dialkylaminoalkylthio(oxy)-1-substituted benzimidazoles: Evaluation “in vitro” and “in vivo”. Inflammation Research. 30(1-2). 174–177. 1 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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