Mattia Volta

4.3k citations
28 papers · 977 · h-index 18

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology

Papers in

Mattia Volta

27 papers receiving 966 citations

Peers

Mattia Volta
Comparison fields: 5 of 80
  • Neurology 515
  • Cellular and Molecular Neuroscience 394
  • Neurology 117
  • Cell Biology 180
  • Physiology 214
Replace Hyung‐Jun Kim with:
Hyung‐Jun Kim South Korea
Simone Bido Italy
Pazit Bar‐On United States
Francesca Longhena Italy
Sally K. Mak United States
Gabriela Caraveo United States
Gaia Faustini Italy
Sabine Odoy Germany
Tetsurou Ikeda Japan
Diana F. Lázaro Germany
Mattia Volta relative to Hyung‐Jun Kim South Korea Hyung‐Jun Kim's profile →
Citations per field
00.5×1.5×2.1×
Hyung‐Jun Kim · 1×
Citations per year

Countries citing papers authored by Mattia Volta

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Volta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014111
2 201193
3 201487
4 201478
5 201872
6 201766
7 201551
8 201747
9 201345
10 201537
11 202033
12 201227
13 201024
14 200823
15 201822
16 202021
17 202021
18 201117
19 201717
20 202114

About Mattia Volta

Mattia Volta is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Epidemiology, having authored 28 papers that have together received 977 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (17 papers), Autophagy in Disease and Therapy (6 papers), Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cellular transport and secretion (5 papers), Lysosomal Storage Disorders Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Neurology (515 citations), Cellular and Molecular Neuroscience (394 citations), Neurology (117 citations), Cell Biology (180 citations) and Physiology (214 citations). Mattia Volta has collaborated with scholars based in Italy, Canada and Germany. Frequent co-authors include Austen J. Milnerwood, Matthew J. Farrer, Heather L. Melrose, Michele Morari, Igor Tatarnikov, Dayne Beccano-Kelly, Lise N. Munsie, Liping Cao, Andrew A. Hicks and Lucı́a Tapia. Their work appears in journals such as Human Molecular Genetics, Journal of Neurochemistry, Biochemical Society Transactions, Frontiers in Cellular Neuroscience and Biochemical and Biophysical Research 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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