Daniele Fancelli

1.5k total citations
18 papers, 596 citations indexed

About

Daniele Fancelli is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Daniele Fancelli has authored 18 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Oncology. Recurrent topics in Daniele Fancelli's work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Daniele Fancelli is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Daniele Fancelli collaborates with scholars based in Italy, United States and Belgium. Daniele Fancelli's co-authors include Carlotta Granchi, Filippo Minutolo, D. Severino, Maria Chiara Fagnola, Angelo Bedeschi, Luisa Rusconi, Chiara Soncini, Patrizia Carpinelli, Mario Varasi and Alexander D. Cameron and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and The Journal of Organic Chemistry.

In The Last Decade

Daniele Fancelli

16 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Fancelli Italy 11 310 185 147 137 70 18 596
Elena Porcù Italy 19 432 1.4× 284 1.5× 156 1.1× 107 0.8× 70 1.0× 39 901
Meredith Williams Singapore 15 356 1.1× 400 2.2× 124 0.8× 56 0.4× 57 0.8× 23 887
Philip Ryan United States 14 514 1.7× 83 0.4× 159 1.1× 53 0.4× 50 0.7× 23 824
Nicola M. Heron United Kingdom 15 420 1.4× 336 1.8× 292 2.0× 338 2.5× 28 0.4× 31 940
Christine Lambert‐van der Brempt United Kingdom 11 520 1.7× 331 1.8× 243 1.7× 53 0.4× 81 1.2× 20 925
Christophe Thurieau France 16 346 1.1× 103 0.6× 97 0.7× 116 0.8× 75 1.1× 28 625
Hong Chang United States 13 463 1.5× 121 0.7× 346 2.4× 60 0.4× 51 0.7× 18 829
Annie Olivier France 10 262 0.8× 160 0.9× 153 1.0× 68 0.5× 45 0.6× 12 492
David Bebbington United Kingdom 7 512 1.7× 126 0.7× 412 2.8× 551 4.0× 111 1.6× 8 921
Gerard Costello United Kingdom 12 526 1.7× 314 1.7× 243 1.7× 40 0.3× 84 1.2× 16 946

Countries citing papers authored by Daniele Fancelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Fancelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Fancelli

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Fancelli. A scholar is included among the top collaborators of Daniele Fancelli 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 Daniele Fancelli. Daniele Fancelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cavallo, Francesca, Flavia Troglio, Giovanni Fagà, et al.. (2020). High-throughput screening identifies histone deacetylase inhibitors that modulate GTF2I expression in 7q11.23 microduplication autism spectrum disorder patient-derived cortical neurons. Molecular Autism. 11(1). 88–88. 18 indexed citations
2.
Granchi, Carlotta, Daniele Fancelli, & Filippo Minutolo. (2014). An update on therapeutic opportunities offered by cancer glycolytic metabolism. Bioorganic & Medicinal Chemistry Letters. 24(21). 4915–4925. 72 indexed citations
3.
Colzani, Mara, Roberta Noberini, Mauro Romanenghi, et al.. (2014). Quantitative Chemical Proteomics Identifies Novel Targets of the Anti-cancer Multi-kinase Inhibitor E-3810. Molecular & Cellular Proteomics. 13(6). 1495–1509. 11 indexed citations
4.
Martin, Lee J., Daniele Fancelli, Margaret Wong, et al.. (2014). GNX-4728, a novel small molecule drug inhibitor of mitochondrial permeability transition, is therapeutic in a mouse model of amyotrophic lateral sclerosis. Frontiers in Cellular Neuroscience. 8. 433–433. 56 indexed citations
5.
Modugno, Michèle, Elena Casale, Chiara Soncini, et al.. (2007). Crystal Structure of the T315I Abl Mutant in Complex with the Aurora Kinases Inhibitor PHA-739358. Cancer Research. 67(17). 7987–7990. 102 indexed citations
6.
Modugno, Michèle, Elena Casale, Chiara Soncini, et al.. (2007). Targeted inhibition of the gatekeeper mutant T315I of Bcr-Abl by an Aurora kinase inhibitor. Cancer Research. 67. 3253–3253. 1 indexed citations
7.
Soncini, Chiara, Patrizia Carpinelli, Laura Gianellini, et al.. (2006). PHA-680632, a Novel Aurora Kinase Inhibitor with Potent Antitumoral Activity. Clinical Cancer Research. 12(13). 4080–4089. 126 indexed citations
8.
Fancelli, Daniele. (2006). Compounds and methods for inhibiting mitotic progression. Expert Opinion on Therapeutic Patents. 16(8). 1179–1182.
9.
Pevarello, Paolo, Daniele Fancelli, Anna Vulpetti, et al.. (2005). 3-Amino-1,4,5,6-tetrahydropyrrolo[3,4-c]pyrazoles: A new class of CDK2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 16(4). 1084–1090. 46 indexed citations
10.
Fancelli, Daniele & Jürgen Moll. (2005). Inhibitors of Aurora kinases for the treatment of cancer. Expert Opinion on Therapeutic Patents. 15(9). 1169–1182. 10 indexed citations
11.
Tonani, R., et al.. (2004). Preparation of heterobicyclic pyrazole derivatives as kinase inhibitors. 3 indexed citations
12.
Pevarello, Paolo, Daniele Fancelli, Anna Vulpetti, et al.. (2004). 3-Amino-pyrrolo[3,4-c]pyrazoles: A new class of CDK2 inhibitors.. 64. 574–574. 3 indexed citations
13.
Fancelli, Daniele, Maria Chiara Fagnola, D. Severino, & Angelo Bedeschi. (1997). Solid phase synthesis of 2-substituted benzofurans via the palladium-catalysed heteroannulation of acetylenes. Tetrahedron Letters. 38(13). 2311–2314. 68 indexed citations
14.
Fancelli, Daniele, Carla Caccia, M. G. FORNARETTO, et al.. (1996). Serotoninergic 5-HT3 and 5-HT4 receptor activities of dihydrobenzofuran carboxylic acid derivatives. Bioorganic & Medicinal Chemistry Letters. 6(3). 263–266. 12 indexed citations
15.
Radice, Antonella, et al.. (1995). FCE 27677: A novel inhibitor of acyl-CoA:Cholesterol acyltransferase with potent oral hypolipidemic activity. Pharmacological Research. 32(4). 189–199. 4 indexed citations
16.
Fancelli, Daniele, et al.. (1995). Synthesis and pharmacological profile of FCE 28654: A water-soluble and injectable ACAT inhibitor. Bioorganic & Medicinal Chemistry Letters. 5(15). 1581–1586.
17.
Fancelli, Daniele, et al.. (1994). Imidazolylbenzopyrane Derivatives: A New Class Of Acyl-CoA: Cholesterol Acyltranferase (ACAT) Inhibitors. Journal of enzyme inhibition. 8(3). 159–172. 2 indexed citations
18.
Citterio, Attilio, et al.. (1989). Manganese(III) acetate-induced cyclization of .alpha.-(arylalkyl) and .alpha.-(aryloxy)alkyl .beta.-dicarbonyl derivatives. The Journal of Organic Chemistry. 54(11). 2713–2718. 62 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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