Emanuele Monteleone

1.9k total citations · 1 hit paper
10 papers, 929 citations indexed

About

Emanuele Monteleone is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Emanuele Monteleone has authored 10 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Emanuele Monteleone's work include Cytokine Signaling Pathways and Interactions (4 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related molecular mechanisms research (3 papers). Emanuele Monteleone is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related molecular mechanisms research (3 papers). Emanuele Monteleone collaborates with scholars based in Italy, United States and France. Emanuele Monteleone's co-authors include Pier Paolo Pandolfi, John G. Clohessy, Akinobu Matsumoto, Masaki Matsumoto, Riu Yamashita, Alessandra Pasut, Keiichi I. Nakayama, Alan Saghatelian, Jacqueline Fung and Paolo Provero and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Emanuele Monteleone

9 papers receiving 929 citations

Hit Papers

mTORC1 and muscle regeneration are regulated by the LINC0... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Emanuele Monteleone
Ali Özeş United States
Allan M. Gurtan United States
P. Cody He United States
George M. Otto United States
David M. Lee United States
Emanuele Monteleone
Citations per year, relative to Emanuele Monteleone Emanuele Monteleone (= 1×) peers Keiko Tano

Countries citing papers authored by Emanuele Monteleone

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Monteleone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Monteleone

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

All Works

10 of 10 papers shown
1.
Monteleone, Emanuele, et al.. (2025). microRNA-22 Inhibition Stimulates Mitochondrial Homeostasis and Intracellular Degradation Pathways to Prevent Muscle Wasting. International Journal of Molecular Sciences. 26(20). 9900–9900.
2.
Loffreda, Alessia, Daniela Gnani, Paola Falletta, et al.. (2023). Chromatin organization drives the search mechanism of nuclear factors. Nature Communications. 14(1). 6433–6433. 30 indexed citations
3.
Monteleone, Emanuele, et al.. (2023). Small transcriptional differences among cell clones lead to distinct NF-κB dynamics. iScience. 26(12). 108573–108573. 2 indexed citations
4.
Avalle, Lidia, Emanuele Monteleone, Aurora Savino, et al.. (2022). STAT3 induces breast cancer growth via ANGPTL4, MMP13 and STC1 secretion by cancer associated fibroblasts. Oncogene. 41(10). 1456–1467. 62 indexed citations
5.
García-Manteiga, José Manuel, et al.. (2020). Nucleosomes effectively shield DNA from radiation damage in living cells. Nucleic Acids Research. 48(16). 8993–9006. 31 indexed citations
6.
Monteleone, Emanuele, Davide Schiavone, Lidia Avalle, et al.. (2019). SP1 and STAT3 Functionally Synergize to Induce the RhoU Small GTPase and a Subclass of Non-canonical WNT Responsive Genes Correlating with Poor Prognosis in Breast Cancer. Cancers. 11(1). 101–101. 26 indexed citations
7.
Kunkl, Martina, Nicla Porciello, Silvana Caristi, et al.. (2019). CD28 Individual Signaling Up-regulates Human IL-17A Expression by Promoting the Recruitment of RelA/NF-κB and STAT3 Transcription Factors on the Proximal Promoter. Frontiers in Immunology. 10. 18 indexed citations
8.
Bester, Assaf C., Jonathan D. Lee, Alejandro Chavez, et al.. (2018). An Integrated Genome-wide CRISPRa Approach to Functionalize lncRNAs in Drug Resistance. Cell. 173(3). 649–664.e20. 237 indexed citations
9.
Matsumoto, Akinobu, Alessandra Pasut, Masaki Matsumoto, et al.. (2016). mTORC1 and muscle regeneration are regulated by the LINC00961-encoded SPAR polypeptide. Nature. 541(7636). 228–232. 489 indexed citations breakdown →
10.
Camporeale, Annalisa, Marco Demaria, Emanuele Monteleone, et al.. (2014). STAT3 Activities and Energy Metabolism: Dangerous Liaisons. Cancers. 6(3). 1579–1596. 34 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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