Francesco Clementi

7.1k total citations · 1 hit paper
117 papers, 5.9k citations indexed

About

Francesco Clementi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Francesco Clementi has authored 117 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 37 papers in Cellular and Molecular Neuroscience and 15 papers in Pharmacology. Recurrent topics in Francesco Clementi's work include Nicotinic Acetylcholine Receptors Study (81 papers), Receptor Mechanisms and Signaling (43 papers) and Ion channel regulation and function (35 papers). Francesco Clementi is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (81 papers), Receptor Mechanisms and Signaling (43 papers) and Ion channel regulation and function (35 papers). Francesco Clementi collaborates with scholars based in Italy, United States and Netherlands. Francesco Clementi's co-authors include Cecilia Gotti, Michèle Zoli, Milena Moretti, Emanuele Sher, J. Michael McIntosh, Alessio Zanardi, Diego Fornasari, Luca Pucci, Annalisa Gaimarri and Masaki Shimono and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Francesco Clementi

113 papers receiving 5.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brain nicotinic acetylcholine receptors: native subtypes and their relevance

2006 695 citations Cecilia Gotti, Michèle Zoli et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Clementi Italy	41	5.0k	2.2k	828	546	393	117	5.9k
Emanuele Sher United Kingdom	43	3.9k 0.8×	2.1k 1.0×	559 0.7×	403 0.7×	165 0.4×	135	5.0k
Shoei Furukawa Japan	39	1.8k 0.4×	1.9k 0.9×	1.2k 1.4×	586 1.1×	262 0.7×	168	5.0k
Roger L. Papke United States	50	6.4k 1.3×	2.3k 1.1×	1.3k 1.6×	493 0.9×	457 1.2×	185	7.5k
Milena Moretti Italy	33	3.5k 0.7×	1.7k 0.8×	530 0.6×	356 0.7×	165 0.4×	69	4.1k
Hermann Lübbert Germany	48	4.0k 0.8×	2.7k 1.2×	515 0.6×	753 1.4×	182 0.5×	104	7.1k
Roderick H. Scott United Kingdom	35	2.6k 0.5×	2.3k 1.0×	483 0.6×	764 1.4×	152 0.4×	93	3.9k
Charles D. Nichols United States	36	1.5k 0.3×	2.3k 1.1×	311 0.4×	308 0.6×	949 2.4×	85	4.9k
Alexander Kuryatov United States	31	3.8k 0.8×	1.7k 0.8×	497 0.6×	310 0.6×	165 0.4×	59	4.3k
Ignaz Wessler Germany	36	2.9k 0.6×	1.5k 0.7×	593 0.7×	980 1.8×	140 0.4×	106	4.7k
Laura Bohn United States	51	6.8k 1.4×	6.9k 3.1×	664 0.8×	1.6k 2.8×	323 0.8×	117	9.4k

Countries citing papers authored by Francesco Clementi

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Clementi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Clementi

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

All Works

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20 of 20 papers shown

Bartoli, Gianni, et al.. (2026). Refining the masonry shear modulus in masonry towers via Bayesian model updating. Probabilistic Engineering Mechanics. 83. 103903–103903.

Roscini, Francesca, et al.. (2025). Sustainable structural health assessment of heritage masonry towers using artificial intelligence and data-driven monitoring: Insights from the civic tower of Matelica. Engineering Applications of Artificial Intelligence. 163. 113097–113097.

Giordano, Ersilia, et al.. (2024). Damage assessment of Apennine masonry churches severely damaged during the 2016 Central Italy seismic sequence. International Journal of Masonry Research and Innovation. 9(4). 412–423. 1 indexed citations

Giordano, Ersilia, et al.. (2023). Dynamic identification and numerical model updating of an old bell-tower in Marche Region (Italy). International Journal of Masonry Research and Innovation. 8(4/5). 509–519. 1 indexed citations

Pallavicini, Marco, Susanna Pucci, Linda Lucero, et al.. (2022). Subnanomolar Affinity and Selective Antagonism at α7 Nicotinic Receptor by Combined Modifications of 2-Triethylammonium Ethyl Ether of 4-Stilbenol (MG624). Journal of Medicinal Chemistry. 66(1). 306–332. 8 indexed citations

Ponzoni, Luisa, Milena Moretti, Daniela Braida, et al.. (2019). Increased sensitivity to Δ9-THC-induced rewarding effects after seven-week exposure to electronic and tobacco cigarettes in mice. European Neuropsychopharmacology. 29(4). 566–576. 12 indexed citations

Pucci, Susanna, Francesca Fasoli, Carmen Lammi, et al.. (2018). Potent Antiglioblastoma Agents by Hybridizing the Onium-Alkyloxy-Stilbene Based Structures of an α7-nAChR, α9-nAChR Antagonist and of a Pro-Oxidant Mitocan. Journal of Medicinal Chemistry. 61(23). 10531–10544. 23 indexed citations

Dallanoce, Clelia, Giuliana Martelli, Giovanni Grazioso, et al.. (2010). Novel tricyclic Δ2-isoxazoline and 3-oxo-2-methyl-isoxazolidine derivatives: Synthesis and binding affinity at neuronal nicotinic acetylcholine receptor subtypes. Bioorganic & Medicinal Chemistry. 18(12). 4498–4508. 16 indexed citations

Dallanoce, Clelia, Carlo Matera, Leonardo Lo Presti, et al.. (2010). Synthesis of novel chiral Δ2-isoxazoline derivatives related to ABT-418 and estimation of their affinity at neuronal nicotinic acetylcholine receptor subtypes. European Journal of Medicinal Chemistry. 45(12). 5594–5601. 13 indexed citations

10.

Gotti, Cecilia, Stefania Guiducci, Vincenzo Tedesco, et al.. (2010). Nicotinic Acetylcholine Receptors in the Mesolimbic Pathway: Primary Role of Ventral Tegmental Area α6β2* Receptors in Mediating Systemic Nicotine Effects on Dopamine Release, Locomotion, and Reinforcement. Journal of Neuroscience. 30(15). 5311–5325. 190 indexed citations

11.

Pallavicini, Marco, Cristiano Bolchi, Antonio Cilia, et al.. (2006). Synthesis and α4β2 nicotinic affinity of unichiral 5-(2-pyrrolidinyl)oxazolidinones and 2-(2-pyrrolidinyl)benzodioxanes. Bioorganic & Medicinal Chemistry Letters. 16(21). 5610–5615. 16 indexed citations

12.

Gotti, Cecilia, Milena Moretti, Francesco Clementi, et al.. (2005). Expression of Nigrostriatal α6-Containing Nicotinic Acetylcholine Receptors Is Selectively Reduced, but Not Eliminated, by β3 Subunit Gene Deletion. Molecular Pharmacology. 67(6). 2007–2015. 117 indexed citations

13.

Gotti, Cecilia, Milena Moretti, Alessio Zanardi, et al.. (2005). Heterogeneity and Selective Targeting of Neuronal Nicotinic Acetylcholine Receptor (nAChR) Subtypes Expressed on Retinal Afferents of the Superior Colliculus and Lateral Geniculate Nucleus: Identification of a New Native nAChR Subtype α3β2(α5 or β3) Enriched in Retinocollicular Afferents. Molecular Pharmacology. 68(4). 1162–1171. 58 indexed citations

14.

Moretti, Milena, Silvia Vailati, Michèle Zoli, et al.. (2004). Nicotinic Acetylcholine Receptor Subtypes Expression during Rat Retina Development and Their Regulation by Visual Experience. Molecular Pharmacology. 66(1). 85–96. 74 indexed citations

15.

Flora, Adriano, et al.. (2000). Transcriptional regulation of the human α5 nicotinic receptor subunit gene in neuronal and non-neuronal tissues. European Journal of Pharmacology. 393(1-3). 85–95. 23 indexed citations

16.

Clementi, Francesco & F. Adlkofer. (2000). Special issue “nicotinic neuronal receptors”. European Journal of Pharmacology. 393(1-3). 1–1. 2 indexed citations

17.

Flora, Adriano, et al.. (2000). Neuronal and Extraneuronal Expression and Regulation of the Human α5 Nicotinic Receptor Subunit Gene. Journal of Neurochemistry. 75(1). 18–27. 39 indexed citations

18.

Vailati, Silvia, Wolfgang Hanke, Benedetta Barabino, et al.. (1999). Functional α6-Containing Nicotinic Receptors Are Present in Chick Retina. Molecular Pharmacology. 56(1). 11–19. 101 indexed citations

19.

Court, J.A. & Francesco Clementi. (1995). Distribution of Nicotinic Subtypes in Human Brain. Alzheimer Disease & Associated Disorders. 9. 6–14. 74 indexed citations

20.

Tarroni, Paola, Francesca Rubboli, Bice Chini, et al.. (1992). Neuronal‐type nicotinic receptors in human neuroblastoma and small‐cell lung carcinoma cell lines. FEBS Letters. 312(1). 66–70. 52 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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