Giulia Barbiera

3.5k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Giulia Barbiera is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Giulia Barbiera has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Giulia Barbiera's work include Virus-based gene therapy research (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). Giulia Barbiera is often cited by papers focused on Virus-based gene therapy research (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). Giulia Barbiera collaborates with scholars based in Italy, Norway and Germany. Giulia Barbiera's co-authors include Renato Ostuni, Marco Genua, Margherita Norelli, Attilio Bondanza, Barbara Camisa, Chiara Bonini, Patrizia Cristofori, Catia Traversari, Maurilio Ponzoni and Fabio Ciceri and has published in prestigious journals such as Nature Medicine, Nature Communications and Immunity.

In The Last Decade

Giulia Barbiera

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Monocyte-derived IL-1 and IL-6 are differentially required for cytokine-release syndrome and neurotoxicity due to CAR T cells

2018 997 citations Margherita Norelli, Barbara Camisa et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Barbiera Italy	4	842	322	294	250	219	6	1.1k
Tahsin Özpolat United States	7	850 1.0×	185 0.6×	306 1.0×	193 0.8×	210 1.0×	25	1.1k
Swati Naik United States	16	561 0.7×	272 0.8×	125 0.4×	238 1.0×	256 1.2×	90	1.0k
Yang Feng United States	10	921 1.1×	415 1.3×	270 0.9×	365 1.5×	265 1.2×	25	1.2k
Emily Robinson United States	9	814 1.0×	218 0.7×	240 0.8×	298 1.2×	267 1.2×	13	1.0k
Christoph Heuser Germany	18	482 0.6×	589 1.8×	96 0.3×	262 1.0×	138 0.6×	30	1.1k
ZeNan Chang United States	12	407 0.5×	177 0.5×	161 0.5×	297 1.2×	99 0.5×	15	729
Brandon Ballard United States	10	847 1.0×	311 1.0×	226 0.8×	326 1.3×	259 1.2×	16	1.0k
Miriam Kim United States	14	290 0.3×	139 0.4×	61 0.2×	140 0.6×	81 0.4×	47	570
Stephanie Rawlings-Rhea United States	8	436 0.5×	89 0.3×	153 0.5×	135 0.5×	109 0.5×	15	486
Anna Capsomidis United Kingdom	5	381 0.5×	397 1.2×	62 0.2×	129 0.5×	85 0.4×	7	622

Countries citing papers authored by Giulia Barbiera

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Barbiera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Barbiera

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Kaiser, Laura, Giulia Barbiera, Roman K. Thomas, et al.. (2025). DynaTag for efficient mapping of transcription factors in low-input samples and at single-cell resolution. Nature Communications. 16(1). 6585–6585. 1 indexed citations

2.

García-Manteiga, José Manuel, Ferdinando Clarelli, Silvia Bonfiglio, et al.. (2021). Identification of differential DNA methylation associated with multiple sclerosis: A family-based study. Journal of Neuroimmunology. 356. 577600–577600. 3 indexed citations

3.

Barbiera, Giulia, Nicoletta Caronni, Elisa Montaldo, et al.. (2021). A PGE2-MEF2A axis enables context-dependent control of inflammatory gene expression. Immunity. 54(8). 1665–1682.e14. 34 indexed citations

4.

Norelli, Margherita, Barbara Camisa, Giulia Barbiera, et al.. (2018). Monocyte-derived IL-1 and IL-6 are differentially required for cytokine-release syndrome and neurotoxicity due to CAR T cells. Nature Medicine. 24(6). 739–748. 997 indexed citations breakdown →

5.

Escobar, Giulia, Luigi Barbarossa, Giulia Barbiera, et al.. (2018). Interferon gene therapy reprograms the leukemia microenvironment inducing protective immunity to multiple tumor antigens. Nature Communications. 9(1). 2896–2896. 43 indexed citations

6.

Giannese, Francesca, Giulia Barbiera, Valentina Lampis, et al.. (2018). Conserved DNA Methylation Signatures in Early Maternal Separation and in Twins Discordant for CO2 Sensitivity. Scientific Reports. 8(1). 2258–2258. 14 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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