Giulia Gramigna

727 citations
6 papers · 47 · h-index 4

Impact in

    • Poxvirus research and outbreaks
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

Giulia Gramigna

6 papers receiving 46 citations

Peers

Giulia Gramigna
Comparison fields: 5 of 17
  • Virology 10
  • Infectious Diseases 30
  • Animal Science and Zoology 5
  • Modeling and Simulation 2
  • Epidemiology 11
Replace Aurora Bettini with:
Aurora Bettini Italy
Fanny Salasc France
Jia Jin Kee United States
Abigail Platt United Kingdom
Sally Kephart United States
Laura Viñuela Spain
Jaynier Moya United States
Jack Heptinstall United States
Forough Tavakoli Iran
Hylton Rodel South Africa
Giulia Gramigna relative to Aurora Bettini Italy Aurora Bettini's profile →
Citations per field
00.5×1.5×
Aurora Bettini · 1×
Citations per year

Countries citing papers authored by Giulia Gramigna

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Gramigna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202215
2 202213
3 202310
4 20236
5 20232
6 20251

About Giulia Gramigna

Giulia Gramigna is a scholar working on Infectious Diseases, Molecular Biology, Virology, Animal Science and Zoology and Epidemiology, having authored 6 papers that have together received 47 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral gastroenteritis research and epidemiology (1 paper), Poxvirus research and outbreaks (1 paper), Plant Virus Research Studies (1 paper), Bone Tissue Engineering Materials (1 paper), COVID-19 epidemiological studies (1 paper), Mosquito-borne diseases and control (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Virology (10 citations), Infectious Diseases (30 citations), Animal Science and Zoology (5 citations), Modeling and Simulation (2 citations) and Epidemiology (11 citations). Giulia Gramigna has collaborated with scholars based in Italy. Frequent co-authors include Giulia Matusali, Francesca Colavita, Aurora Bettini, Massimo Francalancia, Concetta Castilletti, Francesco Vaia, Silvia Meschi, Daniele Lapa, Fabrizio Carletti and Giuseppe Sberna. Their work appears in journals such as Journal of Functional Biomaterials, Journal of Medical Virology, Biomolecules, Viruses and Eurosurveillance.

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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