Daniela Gelmetti

914 citations
34 papers · 555 indexed · h-index 15

Impact in

Papers in

Daniela Gelmetti

33 papers receiving 537 citations

Peers

Daniela Gelmetti
Comparison fields: 5 of 63
  • Virology 58
  • Animal Science and Zoology 117
  • Infectious Diseases 190
  • Parasitology 53
  • Epidemiology 248
Replace U Kihm with:
U Kihm Switzerland
W. R. Shek United States
Fernando Torres‐Velez United States
Katinka Belák Sweden
Alexandre Mendes Amude Brazil
Akira Morooka Japan
Asaf Berkowitz Israel
Gorham United States
A. E. Metzler Switzerland
Ênio Mori Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Gelmetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gelmetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20171
2 201715
3 201549
4 201212
5 20127
6 201135
7 20115
8 20105
9 20091
10 20063
11 200512
12 200535
13
Peripheral neuropathy syndrome (PNS) in white layer chickens.
20030
14
An outbreak of congenital pig pox.
20021
15 200017
16 19998
17 19992
18 199818
19 19954
20 199516

About Daniela Gelmetti

Daniela Gelmetti is a scholar working on Infectious Diseases, Animal Science and Zoology, Virology, Agronomy and Crop Science and Epidemiology, having authored 34 papers that have together received 555 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Herpesvirus Infections and Treatments (8 papers), Animal Virus Infections Studies (6 papers), Virus-based gene therapy research (5 papers), Prion Diseases and Protein Misfolding (5 papers), Animal Disease Management and Epidemiology (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and Neurological diseases and metabolism (4 papers). The work is most often cited by research in Virology (58 citations), Animal Science and Zoology (117 citations), Infectious Diseases (190 citations), Parasitology (53 citations) and Epidemiology (248 citations). Daniela Gelmetti has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Antonio Lavazza, Emiliana Brocchi, Lucia Gibelli, Paolo Cordioli, Ana Moreno, Davide Lelli, G. Sironi, Lorenzo Capucci, María Beatrice Boniotti and Ilaria Barbieri. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of Wildlife Diseases, Emerging infectious diseases, Journal of Comparative Pathology and Zoonoses and Public Health.

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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