Cristina Giacinti

2.6k total citations · 1 hit paper
15 papers, 2.1k citations indexed

About

Cristina Giacinti is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Cristina Giacinti has authored 15 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Cristina Giacinti's work include Muscle Physiology and Disorders (8 papers), Cancer-related Molecular Pathways (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Cristina Giacinti is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Cancer-related Molecular Pathways (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Cristina Giacinti collaborates with scholars based in Italy, United States and Australia. Cristina Giacinti's co-authors include Antonio Giordano, Mario Molinaro, Laura Pelosi, Nadia Rosenthal, Antonio Musarò, Carmine Nicoletti, Gabriella Dobrowolny, Laura Barberi, Giovanna Borsellino and Luca Battistini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Oncogene.

In The Last Decade

Cristina Giacinti

14 papers receiving 2.0k citations

Hit Papers

RB and cell cycle progression 2006 2026 2012 2019 2006 250 500 750
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.

  1. RB and cell cycle progression
    2006 921 citations Cristina Giacinti, Antonio Giordano Oncogene profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Giacinti Italy 12 1.4k 464 375 270 236 15 2.1k
Yee Sook Cho South Korea 29 1.9k 1.3× 520 1.1× 258 0.7× 577 2.1× 311 1.3× 66 3.1k
Anne Wierinckx France 31 1.3k 1.0× 603 1.3× 524 1.4× 470 1.7× 572 2.4× 55 2.9k
Geoffrey G. Hicks Canada 23 1.7k 1.2× 500 1.1× 398 1.1× 104 0.4× 389 1.6× 42 2.6k
Pedro J. Real Spain 24 2.3k 1.7× 723 1.6× 312 0.8× 206 0.8× 389 1.6× 58 3.5k
David J. Izon Australia 25 2.1k 1.5× 598 1.3× 214 0.6× 141 0.5× 313 1.3× 49 3.7k
Tadahisa Shono Japan 21 956 0.7× 391 0.8× 293 0.8× 167 0.6× 551 2.3× 64 2.2k
Anita C. Bellail United States 20 1.6k 1.1× 706 1.5× 431 1.1× 101 0.4× 664 2.8× 29 3.0k
Maurizio Gelati Italy 23 780 0.6× 471 1.0× 360 1.0× 123 0.5× 226 1.0× 57 1.7k
Alice Wong United States 27 1.6k 1.2× 172 0.4× 447 1.2× 214 0.8× 276 1.2× 52 2.6k
Persio Dello Sbarba Italy 29 1.1k 0.8× 442 1.0× 418 1.1× 141 0.5× 552 2.3× 78 2.3k

Countries citing papers authored by Cristina Giacinti

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Giacinti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Giacinti

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

All Works

15 of 15 papers shown
1.
Giacinti, Cristina, Sergio Chiandotto, Mario Molinaro, et al.. (2015). The role of CDK9 in myogenesis. Italian Journal of Anatomy and Embryology. 119(1). 95. 1 indexed citations
2.
Giacinti, Cristina, et al.. (2011). Scriptaid effects on breast cancer cell lines. Journal of Cellular Physiology. 227(10). 3426–3433. 26 indexed citations
3.
Forte, Giancarlo, Stefano Pietronave, Giorgia Nardone, et al.. (2011). Human Cardiac Progenitor Cell Grafts as Unrestricted Source of Supernumerary Cardiac Cells in Healthy Murine Hearts. Stem Cells. 29(12). 2051–2061. 44 indexed citations
4.
Barberi, Laura, Gabriella Dobrowolny, Laura Pelosi, Cristina Giacinti, & Antonio Musarò. (2009). Muscle Involvement and IGF-1 Signaling in Genetic Disorders: New Therapeutic Approaches. Endocrine development. 14. 29–37. 9 indexed citations
5.
Giacinti, Cristina, Antonio Musarò, Giulia De Falco, et al.. (2008). Cdk9‐55: A new player in muscle regeneration. Journal of Cellular Physiology. 216(3). 576–582. 20 indexed citations
6.
Pelosi, Laura, Cristina Giacinti, Chiara Nardis, et al.. (2007). Local expression of IGF‐1 accelerates muscle regeneration by rapidly modulating inflammatory cytokines and chemokines. The FASEB Journal. 21(7). 1393–1402. 208 indexed citations
7.
Musarò, Antonio, Cristina Giacinti, Laura Pelosi, et al.. (2007). Stem cell-mediated muscle regeneration and repair in aging and neuromuscular diseases.. PubMed. 51 Suppl 1. 35–43. 19 indexed citations
8.
Musarò, Antonio, Cristina Giacinti, Laura Pelosi, Bianca Maria Scicchitano, & Mario Molinaro. (2007). Cellular and molecular bases of muscle regeneration: The critical role of insulin-like growth factor-1. International Congress Series. 1302. 89–100. 1 indexed citations
9.
Giacinti, Cristina & Antonio Giordano. (2006). RB and cell cycle progression. Oncogene. 25(38). 5220–5227. 921 indexed citations breakdown →
10.
Bagella, Luigi, Cristina Giacinti, Cristiano Simone, & Antonio Giordano. (2006). Identification of murine cdk10: Association with Ets2 transcription factor and effects on the cell cycle. Journal of Cellular Biochemistry. 99(3). 978–985. 19 indexed citations
11.
Ciccarelli, Carmela, Francesco Marampon, Annunziata Mauro, et al.. (2005). p21WAF1 expression induced by MEK/ERK pathway activation or inhibition correlates with growth arrest, myogenic differentiation and onco-phenotype reversal in rhabdomyosarcoma cells. Molecular Cancer. 4(1). 41–41. 59 indexed citations
12.
Giacinti, Cristina, Luigi Bagella, Prem Puri, Antonio Giordano, & Cristiano Simone. (2005). MyoD recruits the cdk9/cyclin T2 complex on Myogenic‐genes regulatory regions. Journal of Cellular Physiology. 206(3). 807–813. 46 indexed citations
13.
Dobrowolny, Gabriella, Cristina Giacinti, Laura Pelosi, et al.. (2005). Muscle expression of a local Igf-1 isoform protects motor neurons in an ALS mouse model. The Journal of Cell Biology. 168(2). 193–199. 296 indexed citations
14.
Musarò, Antonio, Cristina Giacinti, Giovanna Borsellino, et al.. (2004). Stem cell-mediated muscle regeneration is enhanced by local isoform of insulin-like growth factor 1. Proceedings of the National Academy of Sciences. 101(5). 1206–1210. 200 indexed citations
15.
Germani, Antonia, Anna Di Carlo, Antonella Mangoni, et al.. (2003). Vascular Endothelial Growth Factor Modulates Skeletal Myoblast Function. American Journal Of Pathology. 163(4). 1417–1428. 199 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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