Deborah Gatti

644 total citations
8 papers, 538 citations indexed

About

Deborah Gatti is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Deborah Gatti has authored 8 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Deborah Gatti's work include interferon and immune responses (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Immune Cell Function and Interaction (3 papers). Deborah Gatti is often cited by papers focused on interferon and immune responses (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Immune Cell Function and Interaction (3 papers). Deborah Gatti collaborates with scholars based in Italy, United Kingdom and Belgium. Deborah Gatti's 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 and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Virology and Annals of the Rheumatic Diseases.

In The Last Decade

Deborah Gatti

7 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Deborah Gatti Italy	6	421	234	169	80	50	8	538
Irene Lo Cigno Italy	9	262 0.6×	182 0.8×	181 1.1×	80 1.0×	57 1.1×	18	436
Magdalena Wojtasiak Australia	8	711 1.7×	194 0.8×	114 0.7×	74 0.9×	50 1.0×	8	845
Susan E. Vleck United States	6	212 0.5×	151 0.6×	96 0.6×	131 1.6×	50 1.0×	9	434
Maja Mitrović Croatia	8	411 1.0×	258 1.1×	67 0.4×	54 0.7×	25 0.5×	8	526
Morgan Marsden United Kingdom	10	239 0.6×	165 0.7×	74 0.4×	40 0.5×	39 0.8×	14	362
Sun-Hwa Lee South Korea	10	234 0.6×	221 0.9×	124 0.7×	83 1.0×	158 3.2×	21	511
Thibaut Deschamps United States	10	187 0.4×	216 0.9×	214 1.3×	116 1.4×	127 2.5×	10	441
Elina Shrestha United States	5	569 1.4×	68 0.3×	147 0.9×	76 0.9×	44 0.9×	11	659
Antony Chen United States	9	356 0.8×	357 1.5×	53 0.3×	63 0.8×	79 1.6×	14	661
Carine Brinster France	11	447 1.1×	177 0.8×	120 0.7×	76 0.9×	38 0.8×	22	719

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

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8 of 8 papers shown

1.

Betteridge, Neil, James Galloway, Deborah Gatti, et al.. (2025). POS0584 OVERALL SAFETY PROFILE AND LABORATORY PARAMETERS IN PATIENTS WITH RHEUMATOID ARTHRITIS TREATED WITH FILGOTINIB FOR UP TO 2 YEARS: REAL-WORLD EVIDENCE FROM FILOSOPHY AND PARROTFISH. Annals of the Rheumatic Diseases. 84. 784–785.

2.

Papadopoulou, Maria V., Deborah Gatti, Naomi McGovern, et al.. (2019). The human fetal thymus generates invariant effector γδ T cells. The Journal of Experimental Medicine. 217(3). 65 indexed citations

3.

Vermijlen, David, et al.. (2018). γδ T cell responses: How many ligands will it take till we know?. Seminars in Cell and Developmental Biology. 84. 75–86. 86 indexed citations

4.

Gatti, Deborah, et al.. (2015). The interferon-inducible DNA-sensor protein IFI16: a key player in the antiviral response.. PubMed. 38(1). 5–20. 44 indexed citations

5.

Dell’Oste, Valentina, Deborah Gatti, Francesca Gugliesi, et al.. (2014). Innate Nuclear Sensor IFI16 Translocates into the Cytoplasm during the Early Stage of In Vitro Human Cytomegalovirus Infection and Is Entrapped in the Egressing Virions during the Late Stage. Journal of Virology. 88(12). 6970–6982. 97 indexed citations

6.

Dell’Oste, Valentina, Deborah Gatti, Anna Luganini, et al.. (2012). The Intracellular DNA Sensor IFI16 Gene Acts as Restriction Factor for Human Cytomegalovirus Replication. PLoS Pathogens. 8(1). e1002498–e1002498. 196 indexed citations

7.

Rossini, Giada, Cristina Cerboni, Angela Santoni, et al.. (2012). Interplay between Human Cytomegalovirus and Intrinsic/Innate Host Responses: A Complex Bidirectional Relationship. Mediators of Inflammation. 2012. 1–16. 47 indexed citations

8.

Siccardi, Marco, Antonio D’Avolio, Stefano Bonora, et al.. (2009). Combined effect of SLCO1B1 521T>C, PXR 63396C>T, and ABCB1 3435C>T on the achievement of therapeutic concentrations of unboosted Atazanavir. 2. 8–8. 3 indexed citations

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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