Francesco Trapasso

4.5k total citations
40 papers, 3.5k citations indexed

About

Francesco Trapasso is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Francesco Trapasso has authored 40 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 28 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Francesco Trapasso's work include Genetics and Neurodevelopmental Disorders (22 papers), Ubiquitin and proteasome pathways (10 papers) and Chromatin Remodeling and Cancer (8 papers). Francesco Trapasso is often cited by papers focused on Genetics and Neurodevelopmental Disorders (22 papers), Ubiquitin and proteasome pathways (10 papers) and Chromatin Remodeling and Cancer (8 papers). Francesco Trapasso collaborates with scholars based in United States, Italy and Japan. Francesco Trapasso's co-authors include Carlo M. Croce, Alfredo Fusco, Kay Huebner, Rami I. Aqeilan, Tamotsu Kuroki, Yuri Pekarsky, Hansjüerg Alder, Rodolfo Iuliano, Sai Yendamuri and Hideshi Ishii and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Francesco Trapasso

40 papers receiving 3.5k citations

Peers

Francesco Trapasso
Lisa L. Wei United States
Nanda R. Rodrigues United Kingdom
Henrik Vissing United States
Michael L. Lu United States
Ferenc Boldog United States
Hugo Arias‐Pulido United States
Francesco Trapasso
Citations per year, relative to Francesco Trapasso Francesco Trapasso (= 1×) peers Shlomit Halachmi

Countries citing papers authored by Francesco Trapasso

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Trapasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Trapasso

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

All Works

20 of 20 papers shown
1.
Rinaldo, Cinzia, Alice Moncada, Alessandra Gradi, et al.. (2012). HIPK2 Controls Cytokinesis and Prevents Tetraploidization by Phosphorylating Histone H2B at the Midbody. Molecular Cell. 47(1). 87–98. 49 indexed citations
2.
Pichiorri, Flavia, Hideshi Ishii, Hiroshi Okumura, et al.. (2008). Molecular parameters of genome instability: Roles of fragile genes at common fragile sites. Journal of Cellular Biochemistry. 104(5). 1525–1533. 31 indexed citations
3.
Ishii, Hideshi, Koshi Mimori, Hiroshi Inoue, et al.. (2006). Fhit Modulates the DNA Damage Checkpoint Response. Cancer Research. 66(23). 11287–11292. 31 indexed citations
4.
Semba, Shuho, Haiyan Qin, Kelly A. McCorkell, et al.. (2006). Biological Functions of Mammalian Nit1, the Counterpart of the Invertebrate NitFhit Rosetta Stone Protein, a Possible Tumor Suppressor. Journal of Biological Chemistry. 281(38). 28244–28253. 41 indexed citations
5.
Semba, Shuho, Francesco Trapasso, Muller Fabbri, et al.. (2005). Fhit modulation of the Akt-survivin pathway in lung cancer cells: Fhit-tyrosine 114 (Y114) is essential. Oncogene. 25(20). 2860–2872. 58 indexed citations
6.
Ishii, Hideshi, Andrea Vecchione, Louise Y.Y. Fong, et al.. (2004). Cancer Prevention and Therapy in a Preclinical Mouse Model: Impact of FHIT Viruses. Current Gene Therapy. 4(1). 53–63. 10 indexed citations
7.
Ishii, Hideshi, Andrea Vecchione, Yutaka Furukawa, et al.. (2003). Expression of FRA16D/WWOX and FRA3B/FHIT genes in hematopoietic malignancies.. PubMed. 1(13). 940–7. 59 indexed citations
8.
Sevignani, Cinzia, George A. Calin, Rossano Cesari, et al.. (2003). Restoration of fragile histidine triad (FHIT) expression induces apoptosis and suppresses tumorigenicity in breast cancer cell lines.. PubMed. 63(6). 1183–7. 62 indexed citations
9.
Yendamuri, Sai, Tamotsu Kuroki, Francesco Trapasso, et al.. (2003). WW domain containing oxidoreductase gene expression is altered in non-small cell lung cancer.. PubMed. 63(4). 878–81. 100 indexed citations
10.
Visconti, Roberta, Filippo Schepis, Rodolfo Iuliano, et al.. (2003). Cloning and molecular characterization of a novel gene strongly induced by the adenovirus E1A gene in rat thyroid cells. Oncogene. 22(7). 1087–1097. 54 indexed citations
11.
Iuliano, Rodolfo, Francesco Trapasso, Ilaria Le Pera, et al.. (2001). Rat protein tyrosine phosphatase η physically interacts with the PDZ domains of syntenin. FEBS Letters. 500(1-2). 41–44. 29 indexed citations
12.
Dumon, Kristoffel R., Hideshi Ishii, Andrea Vecchione, et al.. (2001). Fragile histidine triad expression delays tumor development and induces apoptosis in human pancreatic cancer.. PubMed. 61(12). 4827–36. 89 indexed citations
13.
Bruni, Paola, Angelo Boccia, Gustavo Baldassarre, et al.. (2000). PTEN expression is reduced in a subset of sporadic thyroid carcinomas: evidence that PTEN-growth suppressing activity in thyroid cancer cells is mediated by p27kip1. Oncogene. 19(28). 3146–3155. 126 indexed citations
14.
Iuliano, Rodolfo, Francesco Trapasso, Antonella Stella, et al.. (2000). Pivotal Role of the RB Family Proteins in in Vitro Thyroid Cell Transformation. Experimental Cell Research. 260(2). 257–267. 8 indexed citations
15.
Miano, Maria Giuseppina, C Battaglia, Francesco Trapasso, et al.. (2000). The highly malignant phenotype of anaplastic thyroid carcinoma cell lines is recessive. European Journal of Endocrinology. 143(4). 515–521. 12 indexed citations
16.
Trapasso, Francesco, Rodolfo Iuliano, Eusebio Chiefari, et al.. (1999). Iodide symporter gene expression in normal and transformed rat thyroid cells. European Journal of Endocrinology. 140(5). 447–451. 62 indexed citations
17.
Baldassarre, Gustavo, Barbara Belletti, Paola Bruni, et al.. (1999). Overexpressed cyclin D3 contributes to retaining the growth inhibitor p27 in the cytoplasm of thyroid tumor cells. Journal of Clinical Investigation. 104(7). 865–874. 110 indexed citations
18.
Monteleone, Giovanni, Francesco Trapasso, T Parrello, et al.. (1999). Bioactive IL-18 Expression Is Up-Regulated in Crohn’s Disease. The Journal of Immunology. 163(1). 143–147. 345 indexed citations
19.
Califano, Daniela, C Monaco, Giovanni Santelli, et al.. (1998). Thymosin beta-10 gene overexpression correlated with the highly malignant neoplastic phenotype of transformed thyroid cells in vivo and in vitro.. PubMed. 58(4). 823–8. 48 indexed citations
20.
Visconti, Roberta, Janete M. Cerutti, Sabrina Battista, et al.. (1997). Expression of the neoplastic phenotype by human thyroid carcinoma cell lines requires NFκB p65 protein expression. Oncogene. 15(16). 1987–1994. 146 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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