Leonardo Vedolin

1.7k citations
58 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Leonardo Vedolin

55 papers receiving 1.1k citations

Peers

Leonardo Vedolin
Comparison fields: 5 of 87
  • Physiology 469
  • Cellular and Molecular Neuroscience 236
  • Rheumatology 193
  • Genetics 127
  • Developmental Neuroscience 48
Replace Robert T. Leshner with:
Robert T. Leshner United States
Toru Kurokawa Japan
Fumio Kanda Japan
Kevin J. Felice United States
Jean‐Marie Cuisset France
Sevim Erdem‐Özdamar Türkiye
Mark A. Petersen United States
Maja von der Hagen Germany
W. Mortier Germany
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Citations per field
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Robert T. Leshner · 1×
Citations per year

Countries citing papers authored by Leonardo Vedolin

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Vedolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 202112
3 20216
4 201631
5 20166
6 20142
7 20146
8 201232
9 201218
10 20112
11 20112
12 201131
13 201135
14 201012
15 200918
16 200821
17 2008109
18 200816
19
Permeability versus cerebral blood volume measurement in brain tumor evaluation: comparative clinical value and advice to authors.
20066
20 20062

About Leonardo Vedolin

Leonardo Vedolin is a scholar working on Physiology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (20 papers), Glycogen Storage Diseases and Myoclonus (9 papers), Mitochondrial Function and Pathology (8 papers), Cerebrospinal fluid and hydrocephalus (8 papers), Genetic Neurodegenerative Diseases (7 papers), Spinal Dysraphism and Malformations (6 papers), Fetal and Pediatric Neurological Disorders (6 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Physiology (469 citations), Cellular and Molecular Neuroscience (236 citations), Rheumatology (193 citations), Genetics (127 citations) and Developmental Neuroscience (48 citations). Leonardo Vedolin has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Roberto Giugliani, Laura Bannach Jardim, Ida Vanessa Döederlein Schwartz, Taiane Alves Vieira, Gabriel R. de Freitas, Raul G. Nogueira, Maria Gabriela Figueiró Longo, Carolina Fischinger Moura de Souza, Jonas Alex Morales Saute and Simone Chaves Fagondes. Their work appears in journals such as American Journal of Neuroradiology, Molecular Genetics and Metabolism, Topics in Magnetic Resonance Imaging, Neurology and Neuroimaging Clinics of North America.

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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