Michela Ranieri

1.2k total citations
19 papers, 382 citations indexed

About

Michela Ranieri is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Michela Ranieri has authored 19 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Michela Ranieri's work include Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers) and Mesenchymal stem cell research (2 papers). Michela Ranieri is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers) and Mesenchymal stem cell research (2 papers). Michela Ranieri collaborates with scholars based in United States, Italy and Belgium. Michela Ranieri's co-authors include Anna Bersano, Eugenio Parati, Maria Vivo, Girolama La Mantia, Antonio Di Cristofano, Daniela De Martino, Rosa Fontana, Gloria Bedini, Cinzia Del Giovane and Giorgio B. Boncoraglio and has published in prestigious journals such as PLoS ONE, Cancer Research and Stroke.

In The Last Decade

Michela Ranieri

19 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michela Ranieri United States 13 174 101 54 50 44 19 382
Hans‐Ullrich Völker Germany 10 109 0.6× 69 0.7× 82 1.5× 58 1.2× 51 1.2× 21 388
Giorgia Leone Italy 12 124 0.7× 150 1.5× 30 0.6× 29 0.6× 83 1.9× 18 451
Hongfan Zhao China 13 149 0.9× 98 1.0× 130 2.4× 27 0.5× 52 1.2× 24 481
Tetsushi Hayakawa Japan 12 113 0.6× 142 1.4× 41 0.8× 25 0.5× 95 2.2× 52 448
Naoki Ichikawa‐Tomikawa Japan 11 211 1.2× 69 0.7× 10 0.2× 44 0.9× 61 1.4× 19 462
Peter von Bossanyi Germany 11 328 1.9× 103 1.0× 63 1.2× 23 0.5× 21 0.5× 17 488
Saya Ozaki Japan 11 81 0.5× 30 0.3× 90 1.7× 52 1.0× 56 1.3× 47 321
Caihong Xia United States 14 314 1.8× 68 0.7× 127 2.4× 19 0.4× 60 1.4× 31 656
Rosie Head United Kingdom 7 184 1.1× 71 0.7× 18 0.3× 26 0.5× 32 0.7× 8 444
Wolf Müller Germany 14 106 0.6× 58 0.6× 94 1.7× 15 0.3× 84 1.9× 25 444

Countries citing papers authored by Michela Ranieri

Since Specialization
Citations

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

Fields of papers citing papers by Michela Ranieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Ranieri

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

All Works

19 of 19 papers shown
1.
Hao, Yuan, Michela Ranieri, Tigran M. Abramyan, et al.. (2025). Deep mutational scanning reveals EGFR mutations conferring resistance to the 4th-generation EGFR tyrosine kinase inhibitor BLU-945. npj Precision Oncology. 9(1). 294–294. 1 indexed citations
2.
Schneider, Jeffrey A., Susan Ha, Rachel Ruoff, et al.. (2023). A Multivalent Peptoid Conjugate Modulates Androgen Receptor Transcriptional Activity to Inhibit Therapy-resistant Prostate Cancer. Molecular Cancer Therapeutics. 22(10). 1166–1181. 2 indexed citations
3.
Zanferrari, Carla, et al.. (2021). Focal Cerebral Arteriopathy in a Young Adult Following SARS-CoV2 Reinfection. Journal of Stroke and Cerebrovascular Diseases. 30(9). 105944–105944. 3 indexed citations
4.
Boncoraglio, Giorgio B., Michela Ranieri, Anna Bersano, Eugenio Parati, & Cinzia Del Giovane. (2019). Stem cell transplantation for ischemic stroke. Cochrane Database of Systematic Reviews. 2019(5). 41 indexed citations
5.
Wong, Kristen, et al.. (2019). PI3K/mTOR inhibition potentiates and extends palbociclib activity in anaplastic thyroid cancer. Endocrine Related Cancer. 26(4). 425–436. 34 indexed citations
6.
Fontana, Rosa, Michela Ranieri, Girolama La Mantia, & Maria Vivo. (2019). Dual Role of the Alternative Reading Frame ARF Protein in Cancer. Biomolecules. 9(3). 87–87. 41 indexed citations
7.
Boncoraglio, Giorgio B., Michela Ranieri, Anna Bersano, Eugenio Parati, & Cinzia Del Giovane. (2019). Stem Cell Transplantation for Ischemic Stroke. Stroke. 51(1). 14 indexed citations
8.
Ranieri, Michela, Josef Finsterer, Gloria Bedini, Eugenio Parati, & Anna Bersano. (2018). Takotsubo Syndrome: Clinical Features, Pathogenesis, Treatment, and Relationship with Cerebrovascular Diseases. Current Neurology and Neuroscience Reports. 18(5). 20–20. 23 indexed citations
9.
Martino, Daniela De, et al.. (2018). PI3K blockage synergizes with PLK1 inhibition preventing endoreduplication and enhancing apoptosis in anaplastic thyroid cancer. Cancer Letters. 439. 56–65. 25 indexed citations
10.
Ranieri, Michela, et al.. (2017). SGK1 Is a Critical Component of an AKT-Independent Pathway Essential for PI3K-Mediated Tumor Development and Maintenance. Cancer Research. 77(24). 6914–6926. 32 indexed citations
11.
Vivo, Maria, Rosa Fontana, Michela Ranieri, et al.. (2017). p14ARF interacts with the focal adhesion kinase and protects cells from anoikis. Oncogene. 36(34). 4913–4928. 29 indexed citations
12.
Ranieri, Michela, Maria Vivo, Marco De Simone, et al.. (2017). Sumoylation and ubiquitylation crosstalk in the control of ΔNp63α protein stability. Gene. 645. 34–40. 23 indexed citations
13.
Bedini, Gloria, Kinga Blecharz, Sara Nava, et al.. (2016). Vasculogenic and Angiogenic Pathways in Moyamoya Disease. Current Medicinal Chemistry. 23(4). 315–345. 42 indexed citations
14.
Acerbi, Francesco, Giuseppe Faragò, Morgan Broggi, et al.. (2016). Indocyanine green videoangiographic-guided cannulation of the superior ophthalmic vein for endovascular treatment of carotid cavernous fistulas. Turkish Neurosurgery. 27(5). 832–836. 3 indexed citations
15.
Ranieri, Michela, Gloria Bedini, Eugenio Parati, & Anna Bersano. (2016). Fabry Disease: Recognition, Diagnosis, and Treatment of Neurological Features. Current Treatment Options in Neurology. 18(7). 33–33. 19 indexed citations
16.
Ranieri, Michela & Antonio Di Cristofano. (2016). Abstract 188: Isoform-specific AKT functions in thyroid carcinoma development. Cancer Research. 76(14_Supplement). 188–188. 1 indexed citations
17.
Patel, Bindi, Michela Ranieri, Anton A. Shemetov, et al.. (2016). Obatoclax kills anaplastic thyroid cancer cells by inducing lysosome neutralization and necrosis. Oncotarget. 7(23). 34453–34471. 23 indexed citations
18.
Vivo, Maria, Michela Ranieri, Cristina Santoriello, et al.. (2013). Mimicking p14ARF Phosphorylation Influences Its Ability to Restrain Cell Proliferation. PLoS ONE. 8(1). e53631–e53631. 16 indexed citations
19.
Vivo, Maria, Michela Ranieri, Cristina Santoriello, et al.. (2013). Correction: Mimicking p14ARF Phosphorylation Influences Its Ability to Restrain Cell Proliferation. PLoS ONE. 8(10). 10 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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