Davide Vecchio

872 citations
33 papers · 333 · h-index 11

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 5
    • Genomics and Rare Diseases 5
    • Genetic Syndromes and Imprinting 4
    • Genetics and Neurodevelopmental Disorders 4
    • RNA regulation and disease 2

Davide Vecchio

30 papers receiving 328 citations

Peers

Davide Vecchio
Comparison fields: 5 of 83
  • Applied Microbiology and Biotechnology 11
  • Molecular Medicine 27
  • Health 33
  • Genetics 81
  • Clinical Biochemistry 17
Replace Lilian Downie with:
Lilian Downie Australia
Rose Geransar Canada
Ewan Hunter United Kingdom
Helen Maureen Massa Australia
Catherine Stewart Canada
Shiva Sarraf‐Yazdi United States
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隋明爽
Predrag Sazdanović Serbia
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Citations per field
00.5×8.3×
Lilian Downie · 1×
Citations per year

Countries citing papers authored by Davide Vecchio

Since Specialization
Citations

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

Fields of papers citing papers by Davide Vecchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201650
2 201940
3 201633
4 201827
5 202018
6 202117
7 201115
8
A case of femoral-facial syndrome in a patient with autism spectrum disorders.
201115
9 201515
10 202214
11 202112
12 20219
13 20209
14 20216
15 20156
16 20205
17 20225
18 20165
19 20245
20 20164

About Davide Vecchio

Davide Vecchio is a scholar working on Genetics, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 33 papers that have together received 333 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (5 papers), Genetic Syndromes and Imprinting (4 papers), Prenatal Screening and Diagnostics (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Vascular Malformations and Hemangiomas (3 papers), RNA regulation and disease (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (11 citations), Molecular Medicine (27 citations), Health (33 citations), Genetics (81 citations) and Clinical Biochemistry (17 citations). Davide Vecchio has collaborated with scholars based in Italy, Australia and Spain. Frequent co-authors include Giovanni Corsello, Mario Giuffrè, Ettore Piro, Vincenzo Antona, Giorgio Graziano, Caterina Mammina, Marina Macchiaiolo, Laura Saporito, Daniela Maria Geraci and Aurora Aléo. Their work appears in journals such as Orphanet Journal of Rare Diseases, The Journal of Pediatrics, Human Vaccines & Immunotherapeutics, Medicine and Frontiers in Cell and Developmental Biology.

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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