Francesca Gado

820 citations
38 papers · 564 · h-index 15

Impact in

Papers in

    • Cannabis and Cannabinoid Research 21
    • Pharmacological Receptor Mechanisms and Effects 12
    • Receptor Mechanisms and Signaling 3

Francesca Gado

37 papers receiving 560 citations

Peers

Francesca Gado
Comparison fields: 5 of 85
  • Biochemistry 102
  • Pharmacology 247
  • Cellular and Molecular Neuroscience 165
  • Biological Psychiatry 19
  • Toxicology 18
Replace Zhisheng Jia with:
Zhisheng Jia Sweden
Carolina Echeverry Uruguay
Kasthuri Bai Magalingam Malaysia
Ling-Ling Yang Taiwan
Letizia Pruccoli Italy
Naser Mirazi Iran
Zihua Xu China
Mohammad Qneibi Palestinian Territory
Anchalee Prasansuklab Thailand
Fanny Longpré Canada
Francesca Gado relative to Zhisheng Jia Sweden Zhisheng Jia's profile →
Citations per field
00.5×3.6×
Zhisheng Jia · 1×
Citations per year

Countries citing papers authored by Francesca Gado

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Gado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201864
3 201864
4 201932
5 202224
6 202120
7 202119
8 202318
9 202017
10 201817
11 202217
12 201816
13 201714
14 202114
15 202214
16 202212
17 202111
18 201911
19 202310
20 202210

About Francesca Gado

Francesca Gado is a scholar working on Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry and Plant Science, having authored 38 papers that have together received 564 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (21 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Phytochemicals and Antioxidant Activities (6 papers), Essential Oils and Antimicrobial Activity (5 papers), GABA and Rice Research (4 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Biochemistry (102 citations), Pharmacology (247 citations), Cellular and Molecular Neuroscience (165 citations), Biological Psychiatry (19 citations) and Toxicology (18 citations). Francesca Gado has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Clementina Manera, Simone Bertini, Marco Macchia, Maria Digiacomo, Beatrice Polini, Giuseppe Saccomanni, Paola Nieri, Sara Carpi, Stefano Fogli and Giancarlo Aldini. Their work appears in journals such as Molecules, European Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

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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