Gabriele Floris

608 citations
21 papers · 413 · h-index 11

Impact in

Papers in

Gabriele Floris

21 papers receiving 411 citations

Peers

Gabriele Floris
Comparison fields: 5 of 72
  • Cancer Research 131
  • Behavioral Neuroscience 24
  • Biological Psychiatry 15
  • Neurology 47
  • Cellular and Molecular Neuroscience 80
Replace Bisrat T. Woldemichael with:
Bisrat T. Woldemichael Switzerland
Qiumin Le China
Jared V. Goodman United States
Samantha Calderazzo United States
Wenjuan Zhou China
Stephanie W. Tobin Canada
Artemis Iatrou United States
Il Bin Kim South Korea
Wenqiang Chen United States
Gabriele Floris relative to Bisrat T. Woldemichael Switzerland Bisrat T. Woldemichael's profile →
Citations per field
00.5×3.6×
Bisrat T. Woldemichael · 1×
Citations per year

Countries citing papers authored by Gabriele Floris

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Floris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016167
2 201242
3 201838
4 201733
5 201918
6 201918
7 202115
8 202114
9 202214
10 202311
11 201510
12 20207
13 20246
14 20226
15 20254
16 20233
17 20242
18 20242
19 20241
20 20131

About Gabriele Floris

Gabriele Floris is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Neurology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 413 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Stress Responses and Cortisol (5 papers), Hormonal and reproductive studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Circular RNAs in diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), MicroRNA in disease regulation (3 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Cancer Research (131 citations), Behavioral Neuroscience (24 citations), Biological Psychiatry (15 citations), Neurology (47 citations) and Cellular and Molecular Neuroscience (80 citations). Gabriele Floris has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Paolo Follesa, Tao Sun, Longbin Zhang, Marco Bortolato, Jean C. Shih, Stephanie E. Daws, Roberto Cadeddu, Beniamina Mercante, Franca Deriu and Francesco Marrosu. Their work appears in journals such as Translational Psychiatry, Neuroscience, Journal of Neuroendocrinology, European Neuropsychopharmacology and Molecular Neurobiology.

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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