Gian Luca Araldi

540 citations
24 papers · 431 · h-index 12

Impact in

Papers in

Gian Luca Araldi

23 papers receiving 410 citations

Peers

Gian Luca Araldi
Comparison fields: 5 of 66
  • Developmental Neuroscience 29
  • Cellular and Molecular Neuroscience 136
  • Organic Chemistry 164
  • Neurology 71
  • Molecular Biology 188
Replace Martine Dhilly with:
Martine Dhilly France
Pekka Poutiainen Finland
Bengt Långström Sweden
Carol B. Fox United States
Sándor Kolok Hungary
Anders Bråthe Norway
Zhi‐Ping Lin China
Nageswararao Muddana India
Dominique Damour France
Dieter Riddall United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Gian Luca Araldi

Since Specialization
Citations

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

Fields of papers citing papers by Gian Luca Araldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 199852
3 199846
4 199942
5 199739
6 199822
7 200322
8 199715
9 200714
10 200313
11 200713
12 200811
13 199911
14 200711
15 20238
16 19968
17 20227
18 19996
19 19996
20
Synthesis and biological activity of new 6- and 7-substituted 2β- butyl-3-phenyltropanes as ligands for the dopamine transporter
19985

About Gian Luca Araldi

Gian Luca Araldi is a scholar working on Organic Chemistry, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Neurology, having authored 24 papers that have together received 431 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Synthesis and Biological Evaluation (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Inflammatory mediators and NSAID effects (3 papers), Neonatal and fetal brain pathology (3 papers), Synthesis of β-Lactam Compounds (3 papers) and Fluorine in Organic Chemistry (3 papers). The work is most often cited by research in Developmental Neuroscience (29 citations), Cellular and Molecular Neuroscience (136 citations), Organic Chemistry (164 citations), Neurology (71 citations) and Molecular Biology (188 citations). Gian Luca Araldi has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Alan P. Kozikowski, Lei Fan, Alan I. Faden, Shaomeng Wang, Richard G. Ball, Kenneth M. Johnson, Susan M. Knoblach, Ibolja Černak, Stanley T. Fricke and Bryan L. Roth. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Cerebral Blood Flow & Metabolism, Nature Communications and Medicinal Chemistry Research.

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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