Filippo Pinto e Vairo

98 papers receiving 1.4k citations

Peers

Filippo Pinto e Vairo
Comparison fields: 5 of 102
  • Clinical Biochemistry 235
  • Physiology 602
  • Cell Biology 207
  • Rheumatology 177
  • Molecular Biology 569
Replace Tarekegn Geberhiwot with:
Tarekegn Geberhiwot United Kingdom
Amel Karaa United States
Carolina Fischinger Moura de Souza Brazil
Julian Raiman Canada
Jolanta Sykut‐Cegielska Poland
Federica Deodato Italy
Anaïs Brassier France
Guillem Pintos‐Morell Spain
Stephanie Grünewald United Kingdom
Judit García‐Villoria Spain
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Citations per field
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Citations per year

Countries citing papers authored by Filippo Pinto e Vairo

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Pinto e Vairo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filippo Pinto e Vairo. 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 Filippo Pinto e Vairo. The network helps show where Filippo Pinto e Vairo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017157
2 201764
3 201655
4 201853
5 202049
6 201245
7 201944
8 201737
9 201537
10 201637
11 201635
12 201634
13 201729
14 202128
15 202127
16 201726
17 201726
18
[Dolicho-arteriopathies (kinking, coiling, tortuoosity) of the carotid arteries: study by color Doppler ultrasonography].
199824
19 201220
20 201619

About Filippo Pinto e Vairo

Filippo Pinto e Vairo is a scholar working on Physiology, Molecular Biology, Rheumatology, Genetics and Epidemiology, having authored 111 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (54 papers), Cellular transport and secretion (17 papers), Glycogen Storage Diseases and Myoclonus (16 papers), Trypanosoma species research and implications (13 papers), Genomics and Rare Diseases (11 papers), Metabolism and Genetic Disorders (11 papers), Carbohydrate Chemistry and Synthesis (10 papers) and Genetics and Neurodevelopmental Disorders (8 papers). The work is most often cited by research in Clinical Biochemistry (235 citations), Physiology (602 citations), Cell Biology (207 citations), Rheumatology (177 citations) and Molecular Biology (569 citations). Filippo Pinto e Vairo has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Ida Vanessa Döederlein Schwartz, Roberto Giugliani, Eric W. Klee, Guilherme Baldo, Carolina Fischinger Moura de Souza, Jennifer Gass, Sarah Macklin, Paldeep S. Atwal, Fabiano de Oliveira Poswar and Francyne Kubaski. Their work appears in journals such as Molecular Genetics and Metabolism, Orphanet Journal of Rare Diseases, Blood Cells Molecules and Diseases, Mayo Clinic Proceedings and Gene.

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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