Deborah Gatti

644 citations
8 papers · 538 indexed · h-index 6
Topics
interferon and immune responses (3 papers)Cytomegalovirus and herpesvirus research (3 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

Deborah Gatti

7 papers receiving 534 citations

Peers

Deborah Gatti
Comparison fields: 5 of 57
  • Immunology 421
  • Epidemiology 234
  • Molecular Biology 169
  • Oncology 80
  • Infectious Diseases 50
Replace Magdalena Wojtasiak with:
Magdalena Wojtasiak Australia
Rebecca J. Faleiro Australia
Susan E. Vleck United States
Morgan Marsden United Kingdom
Stephan Beck United Kingdom
Maja Mitrović Croatia
Betty Lau United Kingdom
Alain Gumy Switzerland
Elina Shrestha United States
Gustáv Russ Slovakia
Deborah Gatti relative to Magdalena Wojtasiak Australia Magdalena Wojtasiak's profile →
Citations per field
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Magdalena Wojtasiak · 1×
Citations per year

Countries citing papers authored by Deborah Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Gatti

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Gatti. A scholar is included among the top collaborators of Deborah Gatti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deborah Gatti. Deborah Gatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 65
3 86
4
The interferon-inducible DNA-sensor protein IFI16: a key player in the antiviral response.
44
5 97
6 196
7 47
8
Combined effect of SLCO1B1 521T>C, PXR 63396C>T, and ABCB1 3435C>T on the achievement of therapeutic concentrations of unboosted Atazanavir
3

About Deborah Gatti

Deborah Gatti is a scholar working on Immunology, Parasitology and Genetics, having authored 8 papers that have together received 538 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (421 citations), Epidemiology (234 citations) and Parasitology (35 citations). Deborah Gatti has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Santo Landolfo, Marco De Andrea, Marisa Gariglio, Valentina Dell’Oste, Giorgio Gribaudo, David Vermijlen, Anna Luganini, Matthias Eberl, Manfred Marschall and Irene Lo Cigno. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Virology and Annals of the Rheumatic Diseases.

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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