Dania Vecchia

1.3k citations
13 papers · 907 indexed · h-index 10

Impact in

Papers in

Dania Vecchia

13 papers receiving 899 citations

Peers

Dania Vecchia
Comparison fields: 5 of 86
  • Psychiatry and Mental health 416
  • Endocrine and Autonomic Systems 145
  • Cellular and Molecular Neuroscience 374
  • Neurology 119
  • Cognitive Neuroscience 276
Replace Rob C. G. van de Ven with:
Rob C. G. van de Ven Netherlands
Srinivasan Tupal United States
Ana Mrejeru United States
Michaël Russier France
Luis Beltrán‐Parrazal Mexico
Maria Amalia Di Castro Italy
Chong L. Lee United States
Erika S. Piedras-Renterı́a United States
Marta Gómez‐Gonzalo Italy
Charles Quairiaux Switzerland
Dania Vecchia relative to Rob C. G. van de Ven Netherlands Rob C. G. van de Ven's profile →
Citations per field
00.5×3.3×
Rob C. G. van de Ven · 1×
Citations per year

Countries citing papers authored by Dania Vecchia

Since Specialization
Citations

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

Fields of papers citing papers by Dania Vecchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2009253
2 2012180
3 2017133
4 2018101
5 201648
6 201448
7 201538
8 202034
9 202230
10 202023
11 20249
12 20208
13 20212

About Dania Vecchia

Dania Vecchia is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 13 papers that have together received 907 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (5 papers), Migraine and Headache Studies (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Trigeminal Neuralgia and Treatments (3 papers), Neuroscience of respiration and sleep (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Psychiatry and Mental health (416 citations), Endocrine and Autonomic Systems (145 citations), Cellular and Molecular Neuroscience (374 citations), Neurology (119 citations) and Cognitive Neuroscience (276 citations). Dania Vecchia has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Daniela Pietrobon, Arn M. J. M. van den Maagdenberg, Angelita Tottene, Tommaso Fellin, Alessandra Fabbro, Mirko Santello, Michel D. Ferrari, Rossella Conti, Claudio Moretti and Serena Bovetti. Their work appears in journals such as Cerebral Cortex, Cell Reports, eLife, Current Biology and Nature Communications.

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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