Giulia Basile

1.1k total citations · 1 hit paper
7 papers, 688 citations indexed

About

Giulia Basile is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Giulia Basile has authored 7 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Giulia Basile's work include Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Giulia Basile is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Giulia Basile collaborates with scholars based in Italy. Giulia Basile's co-authors include Francesca Anselmi, Salvatore Oliviero, Danny Incarnato, Mara Maldotti, Francesco Neri, Stefania Rapelli, Caterina Parlato, Anna Křepelová, Edoardo Morandi and Daniela Dettori and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Giulia Basile

7 papers receiving 684 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.

Intragenic DNA methylation prevents spurious transcription initiation

2017 499 citations Francesco Neri, Stefania Rapelli et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Basile Italy	6	612	132	105	52	31	7	688
Mara Maldotti Italy	10	954 1.6×	203 1.5×	148 1.4×	60 1.2×	31 1.0×	14	1.0k
Stefania Rapelli Italy	12	1.0k 1.7×	200 1.5×	160 1.5×	62 1.2×	31 1.0×	15	1.1k
Pauline A. Fujita United States	5	432 0.7×	84 0.6×	103 1.0×	55 1.1×	9 0.3×	5	537
M. Joaquina Delás United Kingdom	9	420 0.7×	245 1.9×	40 0.4×	42 0.8×	26 0.8×	12	539
Eddie Park United States	10	502 0.8×	126 1.0×	109 1.0×	30 0.6×	10 0.3×	10	675
Jenny Ruiz United States	9	360 0.6×	57 0.4×	178 1.7×	72 1.4×	28 0.9×	30	556
Mary Muers United Kingdom	11	369 0.6×	99 0.8×	97 0.9×	65 1.3×	8 0.3×	69	516
Koji Numata Japan	13	421 0.7×	216 1.6×	102 1.0×	46 0.9×	29 0.9×	50	550
Svetlana Zhenilo Russia	10	450 0.7×	49 0.4×	142 1.4×	32 0.6×	26 0.8×	30	542
Silvia Gravina United States	11	438 0.7×	104 0.8×	137 1.3×	28 0.5×	17 0.5×	14	601

Countries citing papers authored by Giulia Basile

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Basile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Basile

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Basile. A scholar is included among the top collaborators of Giulia Basile 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 Basile. Giulia Basile 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:

7 of 7 papers shown

1.

Filippo, Paola Di, et al.. (2022). Lung Involvement in Systemic Juvenile Idiopathic Arthritis: A Narrative Review. Diagnostics. 12(12). 3095–3095. 9 indexed citations

2.

Morandi, Edoardo, Matteo Cereda, Danny Incarnato, et al.. (2019). HaTSPiL: A modular pipeline for high-throughput sequencing data analysis. PLoS ONE. 14(10). e0222512–e0222512. 3 indexed citations

3.

Miano, Valentina, et al.. (2018). Luminal lncRNAs Regulation by ERα-Controlled Enhancers in a Ligand-Independent Manner in Breast Cancer Cells. International Journal of Molecular Sciences. 19(2). 593–593. 14 indexed citations

4.

Neri, Francesco, Stefania Rapelli, Anna Křepelová, et al.. (2017). Intragenic DNA methylation prevents spurious transcription initiation. Nature. 543(7643). 72–77. 499 indexed citations breakdown →

5.

Incarnato, Danny, et al.. (2017). In vivo probing of nascent RNA structures reveals principles of cotranscriptional folding. Nucleic Acids Research. 45(16). 9716–9725. 40 indexed citations

6.

Maldotti, Mara, Danny Incarnato, Francesco Neri, et al.. (2016). The long intergenic non-coding RNA CCR492 functions as a let-7 competitive endogenous RNA to regulate c-Myc expression. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(10). 1322–1332. 20 indexed citations

7.

Incarnato, Danny, Francesca Anselmi, Edoardo Morandi, et al.. (2016). High-throughput single-base resolution mapping of RNA 2΄-O-methylated residues. Nucleic Acids Research. 45(3). 1433–1441. 103 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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