F. Clementi

6.1k citations
150 papers · 4.6k indexed · 2 hit papers · h-index 35

F. Clementi

144 papers receiving 4.4k citations

Hit Papers

Neuronal nicotinic receptors: fr...7731969202619882007250500750

Peers

F. Clementi
Comparison fields: 5 of 170
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 3.0k
  • Neurology 254
  • Pharmacology 467
  • Neurology 329
Replace Paul Glynn with:
Paul Glynn United Kingdom
Mario Marchi Italy
Peter R. Dunkley Australia
Owen Jones United Kingdom
Richard G.H. Cotton Australia
Ismail Kola Australia
Georg C. Terstappen Italy
Carrolee Barlow United States
Charles J. Epstein United States
Richard H. Evans United States
F. Clementi relative to Paul Glynn United Kingdom Paul Glynn's profile →
Citations per field
00.5×1.5×2.2×
Paul Glynn · 1×
Citations per year

Countries citing papers authored by F. Clementi

Since Specialization
Citations

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

Fields of papers citing papers by F. Clementi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside F. Clementi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Clementi Line = papers co-authored together F. Clementi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2
A Big Mac Test of Price Dynamics and Dispersion Across Euro Area
20101
3 200433
4
SBBL: una strategia per la ricerca nel campo della biomedicina in Lombardia
20010
5 199849
6 19978
7 199553
8 199538
9 199531
10 199476
11 199476
12 199312
13 199210
14 199224
15 199287
16 1991113
17 199035
18 19891
19 1989112
20 198873

About F. Clementi

F. Clementi is a scholar working on Economics and Econometrics, Cellular and Molecular Neuroscience, General Economics, Econometrics and Finance, Neurology and Molecular Biology, having authored 150 papers that have together received 4.6k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (43 papers), Ion channel regulation and function (34 papers), Income, Poverty, and Inequality (27 papers), Receptor Mechanisms and Signaling (17 papers), Neuroscience and Neuropharmacology Research (14 papers), Complex Systems and Time Series Analysis (12 papers), Fiscal Policy and Economic Growth (12 papers) and Myasthenia Gravis and Thymoma (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (3.0k citations), Neurology (254 citations), Pharmacology (467 citations) and Neurology (329 citations). F. Clementi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cecilia Gotti, Emanuele Sher, Diego Fornasari, George E. Palade, Mauro Gallegati, Mauro Gallegati, G. Kaniadakis, Agnese Codignola, Bice Chini and Milena Moretti. Their work appears in journals such as Neuroscience, Annals of the New York Academy of Sciences, Biochemical and Biophysical Research Communications, Physica A Statistical Mechanics and its Applications and European Journal of Neuroscience.

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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2026