Ada Pesapane

651 total citations
16 papers, 384 citations indexed

About

Ada Pesapane is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Ada Pesapane has authored 16 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Immunology and Allergy. Recurrent topics in Ada Pesapane's work include Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Protease and Inhibitor Mechanisms (4 papers). Ada Pesapane is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Protease and Inhibitor Mechanisms (4 papers). Ada Pesapane collaborates with scholars based in Italy, Denmark and France. Ada Pesapane's co-authors include Nunzia Montuori, Pia Ragno, Francesca Wanda Rossi, Carmine Selleri, Amato de Paulis, Antonio Lavecchia, Carmen Di Giovanni, Alberto Servetto, Stefania Belli and Luigi Formisano and has published in prestigious journals such as Blood, The Journal of Immunology and Scientific Reports.

In The Last Decade

Ada Pesapane

16 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ada Pesapane Italy 12 208 101 81 51 51 16 384
Jian Ni China 10 197 0.9× 83 0.8× 68 0.8× 30 0.6× 71 1.4× 29 378
Mitsuhiko Ogaki Japan 8 221 1.1× 131 1.3× 123 1.5× 27 0.5× 39 0.8× 9 370
Yabing Zheng China 14 278 1.3× 124 1.2× 97 1.2× 41 0.8× 105 2.1× 20 477
Lalita Yadav India 5 213 1.0× 153 1.5× 134 1.7× 23 0.5× 30 0.6× 13 407
Dayanand Deo United States 8 318 1.5× 87 0.9× 242 3.0× 30 0.6× 54 1.1× 15 537
Richard Mendez United States 10 222 1.1× 53 0.5× 53 0.7× 24 0.5× 84 1.6× 15 416
Sonia Mohinta United States 9 361 1.7× 153 1.5× 167 2.1× 68 1.3× 118 2.3× 10 594
Marta Stasiak Poland 13 259 1.2× 82 0.8× 98 1.2× 58 1.1× 76 1.5× 19 501
Wun‐Shaing Wayne Chang Taiwan 10 196 0.9× 96 1.0× 77 1.0× 18 0.4× 18 0.4× 12 422
Langzhu Tan United States 8 252 1.2× 53 0.5× 77 1.0× 23 0.5× 45 0.9× 9 362

Countries citing papers authored by Ada Pesapane

Since Specialization
Citations

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

Fields of papers citing papers by Ada Pesapane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ada Pesapane

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

All Works

16 of 16 papers shown
1.
Belli, Stefania, Ada Pesapane, Alberto Servetto, et al.. (2023). Combined blockade of mTOR and p21-activated kinases pathways prevents tumour growth in KRAS-mutated colorectal cancer. British Journal of Cancer. 129(7). 1071–1082. 5 indexed citations
2.
Belli, Stefania, Daniela Esposito, Alberto Servetto, et al.. (2023). Pak1 pathway hyper-activation mediates resistance to endocrine therapy and CDK4/6 inhibitors in ER+ breast cancer. npj Breast Cancer. 9(1). 48–48. 11 indexed citations
3.
Belli, Stefania, Daniela Esposito, Alberto Servetto, et al.. (2020). c-Src and EGFR Inhibition in Molecular Cancer Therapy: What Else Can We Improve?. Cancers. 12(6). 1489–1489. 53 indexed citations
4.
Napolitano, Filomena, Francesca Wanda Rossi, Ada Pesapane, et al.. (2018). N-Formyl Peptide Receptors Induce Radical Oxygen Production in Fibroblasts Derived From Systemic Sclerosis by Interacting With a Cleaved Form of Urokinase Receptor. Frontiers in Immunology. 9. 574–574. 16 indexed citations
5.
Pesapane, Ada, Pia Ragno, Carmine Selleri, & Nunzia Montuori. (2017). Recent Advances in the Function of the 67 kDa Laminin Receptor and its Targeting for Personalized Therapy in Cancer. Current Pharmaceutical Design. 23(32). 4745–4757. 25 indexed citations
6.
Sarnataro, Daniela, Anna Pepe, Gennaro Altamura, et al.. (2016). The 37/67kDa laminin receptor (LR) inhibitor, NSC47924, affects 37/67kDa LR cell surface localization and interaction with the cellular prion protein. Scientific Reports. 6(1). 24457–24457. 26 indexed citations
7.
Selleri, Carmine, Nunzia Montuori, Annamaria Salvati, et al.. (2016). Involvement of urokinase receptor in the cross-talk between human hematopoietic stem cells and bone marrow microenvironment. Oncotarget. 7(37). 60206–60217. 5 indexed citations
8.
Montuori, Nunzia, Ada Pesapane, Valentina Giudice, et al.. (2016). 67 kDa laminin receptor (67LR) in normal and neoplastic hematopoietic cells: is its targeting a feasible approach?. PubMed. 15. 8–14. 8 indexed citations
9.
Montuori, Nunzia, Ada Pesapane, Francesca Wanda Rossi, et al.. (2016). Urokinase type plasminogen activator receptor (uPAR) as a new therapeutic target in cancer. PubMed. 15. 15–21. 46 indexed citations
10.
Pesapane, Ada, Carmen Di Giovanni, Francesca Wanda Rossi, et al.. (2015). Discovery of new small molecules inhibiting 67 kDa laminin receptor interaction with laminin and cancer cell invasion. Oncotarget. 6(20). 18116–18133. 35 indexed citations
11.
Rossi, Francesca Wanda, Filomena Napolitano, Ada Pesapane, et al.. (2015). Upregulation of the N-Formyl Peptide Receptors in Scleroderma Fibroblasts Fosters the Switch to Myofibroblasts. The Journal of Immunology. 194(11). 5161–5173. 34 indexed citations
12.
Lavecchia, Antonio, Carmen Di Giovanni, Francesca Wanda Rossi, et al.. (2013). Discovery of New Small Molecules Targeting the Vitronectin-Binding Site of the Urokinase Receptor That Block Cancer Cell Invasion. Molecular Cancer Therapeutics. 12(8). 1402–1416. 28 indexed citations
13.
Lavecchia, Antonio, Carmen Di Giovanni, Ada Pesapane, et al.. (2012). Discovery of New Inhibitors of Cdc25B Dual Specificity Phosphatases by Structure-Based Virtual Screening. Journal of Medicinal Chemistry. 55(9). 4142–4158. 40 indexed citations
14.
Formisano, Pietro, Pia Ragno, Ada Pesapane, et al.. (2011). PED/PEA‐15 interacts with the 67 kD laminin receptor and regulates cell adhesion, migration, proliferation and apoptosis. Journal of Cellular and Molecular Medicine. 16(7). 1435–1446. 23 indexed citations
15.
Montuori, Nunzia, Katia Bifulco, Maria Vincenza Carriero, et al.. (2010). The cross-talk between the urokinase receptor and fMLP receptors regulates the activity of the CXCR4 chemokine receptor. Cellular and Molecular Life Sciences. 68(14). 2453–2467. 28 indexed citations
16.
Montuori, Nunzia, Patrizia Ricci, Bianca Serio, et al.. (2008). Role of the Urokinase Receptor (uPAR) in the Cross-Talk of Hematopoietic Stem Cells with the Bone Marrow Microenvironment. Blood. 112(11). 324–324. 1 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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