Gaia Sciaranghella

1.1k citations
12 papers · 737 · h-index 10

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 6
    • Reproductive System and Pregnancy 4
    • T-cell and B-cell Immunology 1
    • HIV Research and Treatment 6

Gaia Sciaranghella

12 papers receiving 727 citations

Peers

Gaia Sciaranghella
Comparison fields: 5 of 64
  • Virology 355
  • Immunology 334
  • Infectious Diseases 186
  • Radiology, Nuclear Medicine and Imaging 141
  • Epidemiology 130
Replace Claudia Pastori with:
Claudia Pastori Italy
John-Paul Todd United States
Marlén M. I. Aasa-Chapman United Kingdom
Michael Tuen United States
Mattias N.E. Forsell Sweden
Melissa-Rose Abrahams South Africa
Eric P. Brown United States
Supachai Rerks‐Ngarm Thailand
Tadashi Nakasone Japan
Christine M. Hay United States
Gaia Sciaranghella relative to Claudia Pastori Italy Claudia Pastori's profile →
Citations per field
00.5×1.5×2.5×
Claudia Pastori · 1×
Citations per year

Countries citing papers authored by Gaia Sciaranghella

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Sciaranghella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010274
2 2013182
3 201168
4 201153
5 201044
6 201230
7 201125
8 201523
9 201019
10 20059
11 20219
12 20121

About Gaia Sciaranghella

Gaia Sciaranghella is a scholar working on Immunology, Virology, Infectious Diseases, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 737 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (6 papers), Reproductive System and Pregnancy (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Listeria monocytogenes in Food Safety (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (355 citations), Immunology (334 citations), Infectious Diseases (186 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Epidemiology (130 citations). Gaia Sciaranghella has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Galit Alter, Christoph T. Berger, Anne‐Sophie Dugast, Qingquan Liu, Margaret E. Ackerman, Elizabeth McAndrew, Dennis R. Burton, Brian Moldt, Richard T. Wyatt and Stéphanie Jost. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Clinical Oncology, European Journal of Immunology, Vaccine and Mucosal Immunology.

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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