Eleonora Petti

488 total citations
9 papers, 326 citations indexed

About

Eleonora Petti is a scholar working on Physiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Eleonora Petti has authored 9 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Eleonora Petti's work include Telomeres, Telomerase, and Senescence (9 papers), MicroRNA in disease regulation (5 papers) and RNA regulation and disease (2 papers). Eleonora Petti is often cited by papers focused on Telomeres, Telomerase, and Senescence (9 papers), MicroRNA in disease regulation (5 papers) and RNA regulation and disease (2 papers). Eleonora Petti collaborates with scholars based in Italy, Malaysia and United Kingdom. Eleonora Petti's co-authors include Roberto Dinami, Stefan Schoeftner, Roberta Benetti, Rosanna Sestito, Giovanni Blandino, Andrea Sacconi, Silvano Piazza, Yari Ciani, Odessa Schillaci and Silvia Matteoni and has published in prestigious journals such as Nature Communications, Cancer Research and Cancer Letters.

In The Last Decade

Eleonora Petti

9 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleonora Petti Italy	8	259	147	105	31	19	9	326
Roberto Dinami Italy	7	251 1.0×	150 1.0×	101 1.0×	31 1.0×	17 0.9×	9	313
Gretchen M. Alicea United States	5	216 0.8×	86 0.6×	87 0.8×	53 1.7×	54 2.8×	5	329
Laura J. Niedernhofer United States	5	352 1.4×	91 0.6×	97 0.9×	57 1.8×	16 0.8×	7	440
Alexandra M. Pinzaru United States	8	257 1.0×	57 0.4×	146 1.4×	35 1.1×	14 0.7×	8	339
Ioana Olan United Kingdom	9	175 0.7×	41 0.3×	118 1.1×	27 0.9×	57 3.0×	10	265
In‐Young Hwang South Korea	9	256 1.0×	108 0.7×	20 0.2×	39 1.3×	13 0.7×	11	302
Yiyin Chung United States	9	176 0.7×	78 0.5×	34 0.3×	49 1.6×	28 1.5×	9	254
Samuel Shields United Kingdom	4	139 0.5×	47 0.3×	75 0.7×	16 0.5×	49 2.6×	5	251
Animesh Bhattacharya Germany	11	325 1.3×	218 1.5×	19 0.2×	47 1.5×	30 1.6×	11	386
Madeline Leahy Ireland	6	220 0.8×	51 0.3×	34 0.3×	30 1.0×	13 0.7×	6	288

Countries citing papers authored by Eleonora Petti

Since Specialization

Citations

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

Fields of papers citing papers by Eleonora Petti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Petti

This figure shows the co-authorship network connecting the top 25 collaborators of Eleonora Petti. A scholar is included among the top collaborators of Eleonora Petti 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 Eleonora Petti. Eleonora Petti 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

1.

Maresca, Carmen, C. D’Angelo, Eleonora Petti, et al.. (2023). PARP1 allows proper telomere replication through TRF1 poly (ADP-ribosyl)ation and helicase recruitment. Communications Biology. 6(1). 234–234. 14 indexed citations

2.

Dinami, Roberto, Eleonora Petti, Manuela Porru, et al.. (2022). TRF2 cooperates with CTCF for controlling the oncomiR-193b-3p in colorectal cancer. Cancer Letters. 533. 215607–215607. 15 indexed citations

3.

Dinami, Roberto, Luca Pompili, Eleonora Petti, et al.. (2022). MiR ‐182‐3p targets TRF2 and impairs tumor growth of triple‐negative breast cancer. EMBO Molecular Medicine. 15(1). e16033–e16033. 34 indexed citations

4.

Iachettini, Sara, Fabio Ciccarone, Carmen Maresca, et al.. (2022). The telomeric protein TERF2/TRF2 impairs HMGB1-driven autophagy. Autophagy. 19(5). 1479–1490. 18 indexed citations

5.

Petti, Eleonora, Odessa Schillaci, Roberto Dinami, et al.. (2019). SFPQ and NONO suppress RNA:DNA-hybrid-related telomere instability. Nature Communications. 10(1). 1001–1001. 93 indexed citations

6.

Dinami, Roberto, Rosanna Sestito, Yari Ciani, et al.. (2017). Epigenetic silencing of miR-296 and miR-512 ensures hTERT dependent apoptosis protection and telomere maintenance in basal-type breast cancer cells. Oncotarget. 8(56). 95674–95691. 33 indexed citations

7.

Petti, Eleonora, et al.. (2015). Altered telomere homeostasis and resistance to skin carcinogenesis in Suv39h1 transgenic mice. Cell Cycle. 14(9). 1438–1446. 9 indexed citations

8.

Dinami, Roberto, Cristiana Ercolani, Eleonora Petti, et al.. (2014). miR-155 Drives Telomere Fragility in Human Breast Cancer by Targeting TRF1. Cancer Research. 74(15). 4145–4156. 105 indexed citations

9.

Dinami, Roberto, Eleonora Petti, Rosanna Sestito, Roberta Benetti, & Stefan Schoeftner. (2014). microRNAs control the function of telomeres in cancer. Institutional Research Information System (University of Udine). 5 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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