Antonio Trabalza

473 citations
14 papers · 370 · h-index 12

Impact in

Papers in

Antonio Trabalza

14 papers receiving 369 citations

Peers

Antonio Trabalza
Comparison fields: 5 of 55
  • Developmental Neuroscience 30
  • Cellular and Molecular Neuroscience 118
  • Virology 21
  • Neurology 62
  • Genetics 91
Replace Masahito Kuramochi with:
Masahito Kuramochi Japan
Eric Olsson Sweden
Timothy J. Meier United States
Stuart Greenhill United Kingdom
Ji‐Yoen Kim United States
Alicia Valenzuela United States
Zhuchi Tu China
Yuan-Ju Wu Germany
Jing-Xia Hao Sweden
Bradford Elmer United States
Antonio Trabalza relative to Masahito Kuramochi Japan Masahito Kuramochi's profile →
Citations per field
00.5×3.3×
Masahito Kuramochi · 1×
Citations per year

Countries citing papers authored by Antonio Trabalza

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Trabalza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201886
2 201039
3 201134
4 200733
5 201032
6 201430
7 201322
8 201120
9 201319
10 201416
11 201213
12 201311
13 201611
14 20204

About Antonio Trabalza

Antonio Trabalza is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Pharmacology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Nerve injury and regeneration (3 papers), Neurological disorders and treatments (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Rabies epidemiology and control (2 papers). The work is most often cited by research in Developmental Neuroscience (30 citations), Cellular and Molecular Neuroscience (118 citations), Virology (21 citations), Neurology (62 citations) and Genetics (91 citations). Antonio Trabalza has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Ioanna Eleftheriadou, Stuart Ellison, Carmelo Sgobio, Nicholas D. Mazarakis, David C. J. Carpentier, Alida Spalloni, Patrizia Longone, Martine Ammassari‐Teule, Shabana Khan and Mark A. Smith. Their work appears in journals such as Gene Therapy, Molecular Therapy, Genes Brain & Behavior, Journal of Virology and Behavioural 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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