Luca Pucci

1.6k citations
26 papers · 1.2k indexed · h-index 16

Impact in

Papers in

Luca Pucci

25 papers receiving 1.2k citations

Peers

Luca Pucci
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 432
  • Developmental Neuroscience 56
  • Molecular Biology 899
  • Neurology 97
  • Biological Psychiatry 25
Replace Alessio Zanardi with:
Alessio Zanardi Italy
Ataúlfo Martı́nez-Torres Mexico
Martha I. Dávila‐García United States
Cecilia M. Borghese United States
Tiffany A. Mathews United States
Katumi Sumikawa United States
Nancy J. Leidenheimer United States
Tarek Z. Deeb United States
Robert J. Mather United States
Zdenek B. Pristupa Canada
Luca Pucci relative to Alessio Zanardi Italy Alessio Zanardi's profile →
Citations per field
00.5×3.0×
Alessio Zanardi · 1×
Citations per year

Countries citing papers authored by Luca Pucci

Since Specialization
Citations

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

Fields of papers citing papers by Luca Pucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Pucci, 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 Luca Pucci Line = papers co-authored together Luca Pucci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 202217
3 2016130
4 2016129
5 20155
6 201511
7 201420
8 20147
9
11,2-bis-N-cytisinylethane (CC4), a new nicotinic partial agonist, blocks nicotine- and Δ-9-tetrahydrocannabinol-induced conditioned place preference in zebrafish
20111
10 201110
11 201132
12 201111
13 201132
14 201125
15 201016
16 200926
17 2009187
18 2009386
19 200826
20 19963

About Luca Pucci

Luca Pucci is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology, Neurology and Developmental Neuroscience, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (17 papers), Receptor Mechanisms and Signaling (14 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Lipid Membrane Structure and Behavior (3 papers), Chemical Synthesis and Analysis (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (432 citations), Developmental Neuroscience (56 citations), Molecular Biology (899 citations), Neurology (97 citations) and Biological Psychiatry (25 citations). Luca Pucci has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Cecilia Gotti, Francesco Clementi, Michèle Zoli, Paola Bezzi, Milena Moretti, Francesco Petrelli, Irene Manfredi, Patrizia Pedrazzi, Stefania Guiducci and Alice Fornari. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, British Journal of Pharmacology, Biological Psychiatry and 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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