Giulia Gallo

861 citations
9 papers · 57 · h-index 6

Impact in

    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research
    • Hepatitis C virus research

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • Viral Infections and Vectors 3
    • Viral Infections and Outbreaks Research 2
    • COVID-19 Clinical Research Studies 2

Giulia Gallo

8 papers receiving 57 citations

Peers

Giulia Gallo
Comparison fields: 5 of 26
  • Infectious Diseases 41
  • Hepatology 7
  • Modeling and Simulation 3
  • Virology 2
  • Epidemiology 14
Replace Forough Tavakoli with:
Forough Tavakoli Iran
Leire Balerdi-Sarasola Spain
Madeline M. Schwarz United States
Elizabeth Barranco Puerto Rico
James Emmanuel San South Africa
Emmanuelle A. Dankwa United Kingdom
Christopher Maucourant France
Khadija Said Mohammed United Kingdom
Ajinkya Pattekar United States
Yentli E. Soto Albrecht United States
Giulia Gallo relative to Forough Tavakoli Iran Forough Tavakoli's profile →
Citations per field
00.5×1.5×2.4×
Forough Tavakoli · 1×
Citations per year

Countries citing papers authored by Giulia Gallo

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Gallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202214
2 202112
3 20238
4 20228
5 20217
6 20215
7 20222
8 20251
9 20250

About Giulia Gallo

Giulia Gallo is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 57 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Vectors (3 papers), Animal Virus Infections Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Mosquito-borne diseases and control (2 papers), Long-Term Effects of COVID-19 (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Infectious Diseases (41 citations), Hepatology (7 citations), Modeling and Simulation (3 citations), Virology (2 citations) and Epidemiology (14 citations). Giulia Gallo has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Dalan Bailey, Rainer G. Ulrich, Nazia Thakur, Myriam Ermonval, Edward Wright, Thomas P. Peacock, Luca Biasetti, William Barclay, Joseph Newman and Florian Binder. Their work appears in journals such as Journal of General Virology, iScience, Archives of Virology, PLoS neglected tropical diseases and Nucleic Acids Research.

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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