Gaia Trincucci

717 total citations
9 papers, 556 citations indexed

About

Gaia Trincucci is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Gaia Trincucci has authored 9 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Gaia Trincucci's work include interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Gaia Trincucci is often cited by papers focused on interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Gaia Trincucci collaborates with scholars based in Switzerland, Italy and United States. Gaia Trincucci's co-authors include François H.T. Duong, Markus H. Heim, Paul Meraner, William M. McDougall, Sinu P. John, Abraham L. Brass, George Savidis, Jill M. Perreira, Timothy F. Kowalik and Nicholas Renzette and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Hepatology.

In The Last Decade

Gaia Trincucci

9 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaia Trincucci Switzerland	8	188	159	154	153	142	9	556
Philippe Metz Germany	8	100 0.5×	196 1.2×	211 1.4×	296 1.9×	122 0.9×	9	659
Kari A. Dilley United States	14	77 0.4×	194 1.2×	358 2.3×	86 0.6×	130 0.9×	14	630
Élodie Décembre France	8	106 0.6×	263 1.7×	269 1.7×	135 0.9×	216 1.5×	12	640
Aryn A. Price United States	7	36 0.2×	138 0.9×	250 1.6×	214 1.4×	56 0.4×	8	623
Wei Hou China	10	109 0.6×	235 1.5×	558 3.6×	116 0.8×	123 0.9×	17	905
Sukun Luo China	13	65 0.3×	165 1.0×	161 1.0×	184 1.2×	99 0.7×	30	485
Gwen M. Taylor United States	13	114 0.6×	162 1.0×	180 1.2×	155 1.0×	185 1.3×	29	601
Adriana Gonçalves United Kingdom	12	95 0.5×	376 2.4×	296 1.9×	177 1.2×	117 0.8×	18	739
Cristina Romero‐López Spain	18	104 0.6×	96 0.6×	711 4.6×	167 1.1×	151 1.1×	51	1.0k
Sonia Amraoui France	8	92 0.5×	347 2.2×	218 1.4×	132 0.9×	170 1.2×	8	682

Countries citing papers authored by Gaia Trincucci

Since Specialization

Citations

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

Fields of papers citing papers by Gaia Trincucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Trincucci

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Trincucci. A scholar is included among the top collaborators of Gaia Trincucci 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 Gaia Trincucci. Gaia Trincucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Savidis, George, William M. McDougall, Paul Meraner, et al.. (2016). Identification of Zika Virus and Dengue Virus Dependency Factors using Functional Genomics. Cell Reports. 16(1). 232–246. 282 indexed citations

Duong, François H.T., Gaia Trincucci, Tujana Boldanova, et al.. (2014). IFN-λ receptor 1 expression is induced in chronic hepatitis C and correlates with the IFN-λ3 genotype and with nonresponsiveness to IFN-α therapies. The Journal of Experimental Medicine. 211(5). 857–868. 52 indexed citations

Colombo, Francesca, Gaia Trincucci, Elisa Frullanti, et al.. (2014). Mouse Pulmonary Adenoma Susceptibility 1 Locus Is an Expression QTL Modulating Kras-4A. PLoS Genetics. 10(4). e1004307–e1004307. 11 indexed citations

Dill, Michael T., Zuzanna Makowska, Gaia Trincucci, et al.. (2014). Pegylated IFN-α regulates hepatic gene expression through transient Jak/STAT activation. Journal of Clinical Investigation. 124(4). 1568–1581. 38 indexed citations

Shanker, Vijay, et al.. (2013). Protein phosphatase 2A impairs IFNα‐induced antiviral activity against the hepatitis C virus through the inhibition of STAT1 tyrosine phosphorylation. Journal of Viral Hepatitis. 20(9). 612–621. 28 indexed citations

Noci, Sara, et al.. (2013). Multigenic nature of the mouse pulmonary adenoma progression 1locus. BMC Genomics. 14(1). 152–152. 2 indexed citations

Makowska, Zuzanna, François H.T. Duong, Gaia Trincucci, David F. Tough, & Markus H. Heim. (2011). Interferon-β and interferon-λ signaling is not affected by interferon-induced refractoriness to interferon-α in vivo. Hepatology. 53(4). 1171–1180. 84 indexed citations

Manenti, Giacomo, Antonella Galvan, Gaia Trincucci, et al.. (2009). Mouse Genome-Wide Association Mapping Needs Linkage Analysis to Avoid False-Positive Loci. PLoS Genetics. 5(1). e1000331–e1000331. 52 indexed citations

Manenti, Giacomo, et al.. (2008). Cis-acting genomic elements of the Pas1 locus control Kras mutability in lung tumors. Oncogene. 27(43). 5753–5758. 7 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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