Daniela Gavello

562 citations
17 papers · 449 · h-index 13

Impact in

Papers in

Daniela Gavello

17 papers receiving 441 citations

Peers

Daniela Gavello
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 158
  • Endocrine and Autonomic Systems 41
  • Physiology 89
  • Cell Biology 56
  • Developmental Neuroscience 13
Replace Sara Fidalgo with:
Sara Fidalgo United Kingdom
Kazue Kikuchi-Utsumi Japan
Marat A. Mukhamedyarov Russia
Simone Parvez France
Laura Oliveira Portugal
Laura M. Montero United States
Leniz F. Nurullin Russia
Miguel Cordeiro Portugal
Halina Meiri Israel
Daniela Gavello relative to Sara Fidalgo United Kingdom Sara Fidalgo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Gavello

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gavello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201544
2 201243
3 201640
4 201037
5 201937
6 200936
7 201635
8 201134
9 201630
10 201829
11 201028
12 201119
13 201713
14 201511
15 20137
16 20165
17
Microelectrode array (MEA) analysis of ion channels controlling spontaneous chromaffin cells electrical activity
20081

About Daniela Gavello

Daniela Gavello is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Bioengineering, Physiology and Nutrition and Dietetics, having authored 17 papers that have together received 449 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Regulation of Appetite and Obesity (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Ion channel regulation and function (2 papers), Nanoparticles: synthesis and applications (2 papers), Adipose Tissue and Metabolism (2 papers) and Carbon Nanotubes in Composites (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (158 citations), Endocrine and Autonomic Systems (41 citations), Physiology (89 citations), Cell Biology (56 citations) and Developmental Neuroscience (13 citations). Daniela Gavello has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Valentina Carabelli, Emilio Carbone, Andrea Marcantoni, Chiara Calorio, David H. F. Vandael, Federico Cesano, Jonathan Rojo‐Ruiz, Carlo NG Giachello, Jacopo Meldolesi and Carsten Schulte. Their work appears in journals such as Channels, Scientific Reports, Cerebral Cortex, The Journal of Physiology and Journal of Cell Science.

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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