Deborah Pajalunga

677 total citations
17 papers, 523 citations indexed

About

Deborah Pajalunga is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Deborah Pajalunga has authored 17 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Physiology. Recurrent topics in Deborah Pajalunga's work include Cancer-related Molecular Pathways (9 papers), Muscle Physiology and Disorders (7 papers) and Ubiquitin and proteasome pathways (5 papers). Deborah Pajalunga is often cited by papers focused on Cancer-related Molecular Pathways (9 papers), Muscle Physiology and Disorders (7 papers) and Ubiquitin and proteasome pathways (5 papers). Deborah Pajalunga collaborates with scholars based in Italy, United States and India. Deborah Pajalunga's co-authors include Marco Crescenzi, Alessia Mazzola, Ada Sacchi, Marianne Tiainen, E. M. R. Puggioni, Annapaola Franchitto, Paola Fortini, Eugenia Dogliotti, Laura Narciso and Gabriele De Luca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Deborah Pajalunga

16 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Pajalunga Italy 12 435 169 87 60 55 17 523
Sara Nik United States 10 456 1.0× 132 0.8× 69 0.8× 110 1.8× 39 0.7× 10 590
María F. Ogara Argentina 9 249 0.6× 145 0.9× 53 0.6× 59 1.0× 26 0.5× 11 395
Martin D. Burkhalter Germany 15 609 1.4× 117 0.7× 65 0.7× 71 1.2× 71 1.3× 29 715
Chetan K. Rane United States 8 305 0.7× 174 1.0× 90 1.0× 60 1.0× 22 0.4× 12 512
Takahiro Naiki Japan 9 584 1.3× 135 0.8× 144 1.7× 148 2.5× 62 1.1× 10 686
Kaori Ushida Japan 12 298 0.7× 132 0.8× 80 0.9× 85 1.4× 21 0.4× 24 501
Mayura Meerang Switzerland 15 347 0.8× 131 0.8× 108 1.2× 55 0.9× 21 0.4× 22 580
Jennifer L. Brockman United States 11 432 1.0× 251 1.5× 178 2.0× 63 1.1× 50 0.9× 13 683
David Michod Switzerland 14 393 0.9× 104 0.6× 63 0.7× 75 1.3× 19 0.3× 18 488
Anthony C.B. Lim Singapore 7 309 0.7× 91 0.5× 99 1.1× 62 1.0× 25 0.5× 8 396

Countries citing papers authored by Deborah Pajalunga

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Pajalunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Pajalunga

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

All Works

17 of 17 papers shown
1.
Pajalunga, Deborah & Marco Crescenzi. (2021). Restoring the Cell Cycle and Proliferation Competence in Terminally Differentiated Skeletal Muscle Myotubes. Cells. 10(10). 2753–2753. 14 indexed citations
2.
Pajalunga, Deborah, Elisa Franzolin, Aymone Gurtner, et al.. (2017). A defective dNTP pool hinders DNA replication in cell cycle-reactivated terminally differentiated muscle cells. Cell Death and Differentiation. 24(5). 774–784. 13 indexed citations
3.
Biferi, Maria Grazia, Carmine Nicoletti, Germana Falcone, et al.. (2015). Proliferation of Multiple Cell Types in the Skeletal Muscle Tissue Elicited by Acute p21 Suppression. Molecular Therapy. 23(5). 885–895. 7 indexed citations
4.
Sacco, Alessandra, et al.. (2013). Cell Cycle Reactivation in Skeletal Muscle and Other Terminally Differentiated Cells.
5.
Fortini, Paola, Barbara Pascucci, Laura Narciso, et al.. (2012). DNA damage response by single-strand breaks in terminally differentiated muscle cells and the control of muscle integrity. Cell Death and Differentiation. 19(11). 1741–1749. 34 indexed citations
6.
Cecchi, Franco, Deborah Pajalunga, C. Andrew Fowler, et al.. (2012). Targeted Disruption of Heparan Sulfate Interaction with Hepatocyte and Vascular Endothelial Growth Factors Blocks Normal and Oncogenic Signaling. Cancer Cell. 22(2). 250–262. 37 indexed citations
7.
Pajalunga, Deborah, et al.. (2010). DNA Replication Is Intrinsically Hindered in Terminally Differentiated Myotubes. PLoS ONE. 5(7). e11559–e11559. 18 indexed citations
8.
Pajalunga, Deborah, Alessia Mazzola, Annapaola Franchitto, E. M. R. Puggioni, & Marco Crescenzi. (2007). Molecular and Cellular Basis of Regeneration and Tissue Repair. Cellular and Molecular Life Sciences. 65(1). 8–15. 21 indexed citations
9.
Narciso, Laura, Paola Fortini, Deborah Pajalunga, et al.. (2007). Terminally differentiated muscle cells are defective in base excision DNA repair and hypersensitive to oxygen injury. Proceedings of the National Academy of Sciences. 104(43). 17010–17015. 89 indexed citations
10.
Pajalunga, Deborah, Alessia Mazzola, E. M. R. Puggioni, & Marco Crescenzi. (2007). Non-Proliferation as an Active State: Conceptual and Practical Implications. Cell Cycle. 6(12). 1414–1417. 7 indexed citations
11.
Pajalunga, Deborah, Alessia Mazzola, Anna Maria Salzano, et al.. (2007). Critical requirement for cell cycle inhibitors in sustaining nonproliferative states. The Journal of Cell Biology. 176(6). 807–818. 64 indexed citations
12.
Pajalunga, Deborah & Marco Crescenzi. (2004). Regulation of Cyclin E Protein Levels through E2F-Mediated Inhibition of Degradation. Cell Cycle. 3(12). 1572–1578. 11 indexed citations
13.
Camarda, Grazia, Francesca Siepi, Deborah Pajalunga, et al.. (2004). A pRb-independent mechanism preserves the postmitotic state in terminally differentiated skeletal muscle cells. The Journal of Cell Biology. 167(3). 417–423. 56 indexed citations
14.
Latella, Lucia, Alessandra Sacco, Deborah Pajalunga, et al.. (2001). Reconstitution of Cyclin D1-Associated Kinase Activity Drives Terminally Differentiated Cells into the Cell Cycle. Molecular and Cellular Biology. 21(16). 5631–5643. 78 indexed citations
15.
Pajalunga, Deborah, Marianne Tiainen, Marco D'Angelo, et al.. (1999). E2F activates late-G1 events but cannot replace E1A in inducing S phase in terminally differentiated skeletal muscle cells. Oncogene. 18(36). 5054–5062. 20 indexed citations
16.
Stefanini, Stefania, Roberta Nardacci, Stefano Farioli‐Vecchioli, Deborah Pajalunga, & Claudia Sartori. (1999). Liver and kidney peroxisomes in lactating rats and their pups after treatment with ciprofibrate. Biochemical and morphometric analysis.. PubMed. 45(6). 815–29. 10 indexed citations
17.
Tiainen, Marianne, Deborah Pajalunga, Flavia Ferrantelli, et al.. (1996). Terminally differentiated skeletal myotubes are not confined to G0 but can enter G1 upon growth factor stimulation.. PubMed. 7(8). 1039–50. 44 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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