Velia D’Agata

6.5k citations
183 papers · 5.2k indexed · 1 hit paper · h-index 37
Topics
Neuropeptides and Animal Physiology (49 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers)Parkinson's Disease Mechanisms and Treatments (16 papers)

In The Last Decade

Velia D’Agata

175 papers receiving 5.1k citations

Hit Papers

The impact of physical activity on psychological health d...20202026202220242020200400600

Peers

Velia D’Agata
Comparison fields: 5 of 165
  • Molecular Biology 2.2k
  • Cellular and Molecular Neuroscience 1.7k
  • Physiology 738
  • Neurology 621
  • Surgery 495
Replace Salvatore Salomone with:
Salvatore Salomone Italy
Ming Xiao China
Yun Wang China
Xiaoyan Sun United States
David A. Pearce United States
Antonio Pisani Italy
Jun Tian China
Carlo Ferrarese Italy
Feng He United States
Velia D’Agata relative to Salvatore Salomone Italy Salvatore Salomone's profile →
Citations per field
00.5×1.5×2.5×
Salvatore Salomone · 1×
Citations per year

Countries citing papers authored by Velia D’Agata

Since Specialization
Citations

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

Fields of papers citing papers by Velia D’Agata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Velia D’Agata. 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 Velia D’Agata. The network helps show where Velia D’Agata may publish in the future.

Co-authorship network of co-authors of Velia D’Agata

This figure shows the co-authorship network connecting the top 25 collaborators of Velia D’Agata. A scholar is included among the top collaborators of Velia D’Agata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Velia D’Agata. Velia D’Agata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 4
5 5
6 4
7 4
8 7
9 18
10 2
11 2
12 7
13 10
14 52
15 1
16 33
17 18
18 1
19 50
20 45

About Velia D’Agata

Velia D’Agata is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 183 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (49 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Ophthalmology (439 citations) and Neurology (387 citations). Velia D’Agata has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Sebastiano Cavallaro, Grazia Maugeri, Agata Grazia D’Amico, Filippo Drago, Giuseppe Musumeci, Alessandro Castorina, Salvatore Saccone, Michelino Di Rosa, Giovanni Scapagnini and Concetta Federico. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Brain 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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