Gloria Bertoli

2.9k total citations · 1 hit paper
60 papers, 2.2k citations indexed

About

Gloria Bertoli is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gloria Bertoli has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 26 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Gloria Bertoli's work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (11 papers) and Bioinformatics and Genomic Networks (10 papers). Gloria Bertoli is often cited by papers focused on MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (11 papers) and Bioinformatics and Genomic Networks (10 papers). Gloria Bertoli collaborates with scholars based in Italy, United States and Belgium. Gloria Bertoli's co-authors include Claudia Cava, Isabella Castiglioni, Roberto Sitia, Gianluca Bontempi, Antonio Colaprico, Thomas Simmen, Ileana Zucchi, Giancarlo Mauri, Catharina Olsen and Francesca Gallivanone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gloria Bertoli

57 papers receiving 2.1k 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.

MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer

2015 651 citations Gloria Bertoli, Claudia Cava et al. Theranostics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gloria Bertoli Italy	25	1.5k	1.0k	305	300	145	60	2.2k
Marc‐Eric Halatsch Germany	34	1.5k 1.0×	617 0.6×	768 2.5×	166 0.6×	294 2.0×	109	2.9k
Young Chan Chae South Korea	27	2.1k 1.4×	882 0.9×	321 1.1×	397 1.3×	251 1.7×	51	2.8k
Armand Bankhead United States	17	870 0.6×	368 0.4×	266 0.9×	160 0.5×	179 1.2×	30	1.5k
Xiaobing Deng United States	24	1.2k 0.8×	300 0.3×	436 1.4×	154 0.5×	222 1.5×	39	1.8k
Seung Bae Rho South Korea	28	1.6k 1.1×	436 0.4×	409 1.3×	160 0.5×	108 0.7×	83	2.3k
Zunyan Dai United States	27	2.2k 1.5×	900 0.9×	665 2.2×	108 0.4×	290 2.0×	45	3.0k
Anthony Tumber United Kingdom	32	2.9k 1.9×	676 0.7×	584 1.9×	95 0.3×	109 0.8×	95	3.6k
Xiaonan Zhang Sweden	21	1.2k 0.8×	383 0.4×	475 1.6×	171 0.6×	96 0.7×	65	1.9k
Mark R. Wardell United States	24	1.7k 1.1×	964 0.9×	360 1.2×	463 1.5×	158 1.1×	36	3.3k
Fabian V. Filipp United States	25	1.5k 1.0×	571 0.6×	293 1.0×	205 0.7×	139 1.0×	44	2.0k

Countries citing papers authored by Gloria Bertoli

Since Specialization

Citations

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

Fields of papers citing papers by Gloria Bertoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Bertoli

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

All Works

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20 of 20 papers shown

Valtorta, Silvia, Stefano de Pretis, Gloria Bertoli, et al.. (2025). Radio-chemotherapy and metformin selectively modulate the heterogeneous landscape of glioma with ribosome biogenesis, long non coding RNA and immune-escape markers as major player. International Journal of Biological Sciences. 21(8). 3527–3554. 1 indexed citations

Porro, Danilo, et al.. (2024). Characterization of cell cycle, inflammation, and oxidative stress signaling role in non-communicable diseases: Insights into genetic variants, microRNAs and pathways. Computers in Biology and Medicine. 174. 108346–108346. 2 indexed citations

Commisso, Mauro, Marcella Bonanomi, Linda Avesani, et al.. (2024). A Novel Strategy for Glioblastoma Treatment by Natural Bioactive Molecules Showed a Highly Effective Anti-Cancer Potential. Nutrients. 16(15). 2389–2389. 6 indexed citations

Dico, Alessia Lo, Cristina Martelli, Fabio Corsi, et al.. (2023). CMA mediates resistance in breast cancer models. Cancer Cell International. 23(1). 133–133. 2 indexed citations

Foglieni, Chiara, Maria Lombardi, Davide Lazzeroni, et al.. (2022). Myosins and MyomiR Network in Patients with Obstructive Hypertrophic Cardiomyopathy. Biomedicines. 10(9). 2180–2180. 6 indexed citations

Fortunato, Francesco, Claudia Cava, Francesca Gallivanone, et al.. (2021). Circulating microRNAs as Potential Novel Diagnostic Biomarkers to Predict Drug Resistance in Temporal Lobe Epilepsy: A Pilot Study. International Journal of Molecular Sciences. 22(2). 702–702. 36 indexed citations

Cava, Claudia, Gloria Bertoli, & Isabella Castiglioni. (2020). A protein interaction map identifies existing drugs targeting SARS-CoV-2. BMC Pharmacology and Toxicology. 21(1). 65–65. 14 indexed citations

Salimimoghadam, Shokooh, Sina Taefehshokr, Reid Loveless, et al.. (2020). The role of tumor suppressor short non-coding RNAs on breast cancer. Critical Reviews in Oncology/Hematology. 158. 103210–103210. 7 indexed citations

Cava, Claudia, Chiara Novello, Cristina Martelli, et al.. (2019). Theranostic application of miR-429 in HER2+ breast cancer. Theranostics. 10(1). 50–61. 20 indexed citations

10.

Bertoli, Gloria, Claudia Cava, Cecilia Diceglie, et al.. (2016). MicroRNA-567 dysregulation contributes to carcinogenesis of breast cancer, targeting tumor cell proliferation, and migration. Breast Cancer Research and Treatment. 161(3). 605–616. 31 indexed citations

11.

Cava, Claudia, Gloria Bertoli, Marilena Ripamonti, et al.. (2014). Integration of mRNA Expression Profile, Copy Number Alterations, and microRNA Expression Levels in Breast Cancer to Improve Grade Definition. PLoS ONE. 9(5). e97681–e97681. 51 indexed citations

12.

Valtorta, Silvia, Gabriella Nicolini, Farida Tripodi, et al.. (2014). A novel AMPK activator reduces glucose uptake and inhibits tumor progression in a mouse xenograft model of colorectal cancer. Investigational New Drugs. 32(6). 1123–1133. 13 indexed citations

13.

Anastasi, P., Simonetta Astigiano, Paride Pelucchi, et al.. (2009). Isolation of Canine Mammary Cells With Stem Cell Properties and Tumour‐Initiating Potential. Reproduction in Domestic Animals. 44(s2). 214–217. 32 indexed citations

14.

Sanzone, S., Simonetta Astigiano, Paride Pelucchi, et al.. (2008). A rat mammary gland cancer cell with stem cell properties of self-renewal and multi-lineage differentiation. Cytotechnology. 58(1). 25–32. 14 indexed citations

15.

Platonova, Natalia, Gloria Bertoli, Vasco Meneghini, et al.. (2007). TBX3, the gene mutated in ulnar-mammary syndrome, promotes growth of mammary epithelial cells via repression of p19ARF, independently of p53. Cell and Tissue Research. 328(2). 301–316. 26 indexed citations

16.

Bertoli, Gloria, Thomas Simmen, Tiziana Anelli, et al.. (2004). Two Conserved Cysteine Triads in Human Ero1α Cooperate for Efficient Disulfide Bond Formation in the Endoplasmic Reticulum. Journal of Biological Chemistry. 279(29). 30047–30052. 47 indexed citations

17.

Cunnea, Paula, Antonio Miranda–Vizuete, Gloria Bertoli, et al.. (2003). ERdj5, an Endoplasmic Reticulum (ER)-resident Protein Containing DnaJ and Thioredoxin Domains, Is Expressed in Secretory Cells or following ER Stress. Journal of Biological Chemistry. 278(2). 1059–1066. 154 indexed citations

18.

Orlandi, L., et al.. (2001). Effects of liposome-entrapped annamycin in human breast cancer cells: Interference with cell cycle progression and induction of apoptosis. Journal of Cellular Biochemistry. 81(1). 9–22. 4 indexed citations

19.

Ghielmini, Michele, et al.. (1998). Distribution of Mobilized Progenitor Cells in the Buffy Coat of the Haemonetics MCS3p Cell Separator: A Study to Optimize the Collection of Progenitors by Leukapheresis. Journal of Hematotherapy. 7(3). 251–256. 1 indexed citations

20.

Giraldi, Tullio, Gianni Sava, Gloria Bertoli, G. Mestroni, & G. Zassinovich. (1977). Antitumor action of two rhodium and ruthenium complexes in comparison with cis-diamminedichloroplatinum(II).. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 37(8 Pt 1). 2662–6. 60 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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