Corrado Spadafora

5.2k total citations
87 papers, 4.0k citations indexed

About

Corrado Spadafora is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Corrado Spadafora has authored 87 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 30 papers in Plant Science and 25 papers in Genetics. Recurrent topics in Corrado Spadafora's work include CRISPR and Genetic Engineering (41 papers), Chromosomal and Genetic Variations (29 papers) and Animal Genetics and Reproduction (24 papers). Corrado Spadafora is often cited by papers focused on CRISPR and Genetic Engineering (41 papers), Chromosomal and Genetic Variations (29 papers) and Animal Genetics and Reproduction (24 papers). Corrado Spadafora collaborates with scholars based in Italy, France and United States. Corrado Spadafora's co-authors include Ilaria Sciamanna, Marialuisa Lavitrano, Carmine Pittoggi, Barbara Maione, R Lorenzini, Pierre Chambon, Rosanna Beraldi, Susanna Dolci, Vito Michele Fazio and Antonella Camaioni and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Corrado Spadafora

86 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Corrado Spadafora Italy 37 3.2k 1.8k 1.1k 442 383 87 4.0k
Debra J. Wolgemuth United States 33 3.3k 1.0× 1.3k 0.7× 276 0.3× 666 1.5× 749 2.0× 75 4.3k
Detlef Doenecke Germany 40 3.6k 1.2× 813 0.5× 501 0.5× 210 0.5× 308 0.8× 127 4.3k
Christa Heyting Netherlands 40 4.9k 1.6× 1.0k 0.6× 1.5k 1.4× 606 1.4× 415 1.1× 79 5.7k
Colin A. Semple United Kingdom 32 2.7k 0.9× 827 0.5× 364 0.3× 153 0.3× 193 0.5× 86 3.6k
Petr Svoboda Czechia 36 4.5k 1.4× 794 0.4× 681 0.6× 914 2.1× 173 0.5× 89 5.1k
Alberto J. Solari Argentina 34 2.0k 0.6× 1.8k 1.0× 1.7k 1.5× 364 0.8× 628 1.6× 114 3.6k
Bernard de Massy France 47 5.9k 1.9× 1.8k 1.0× 1.5k 1.4× 553 1.3× 445 1.2× 80 6.9k
Enrico Ginelli Italy 26 1.9k 0.6× 782 0.4× 539 0.5× 209 0.5× 88 0.2× 77 2.7k
Naojiro Minami Japan 31 1.9k 0.6× 622 0.3× 406 0.4× 1.4k 3.2× 853 2.2× 98 3.1k
Attila Tóth Germany 29 3.8k 1.2× 581 0.3× 872 0.8× 425 1.0× 236 0.6× 45 4.3k

Countries citing papers authored by Corrado Spadafora

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Spadafora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrado Spadafora

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Spadafora. A scholar is included among the top collaborators of Corrado Spadafora 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 Corrado Spadafora. Corrado Spadafora 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.
Spadafora, Corrado. (2023). The epigenetic basis of evolution. Progress in Biophysics and Molecular Biology. 178. 57–69. 14 indexed citations
2.
Spadafora, Corrado. (2018). LINE-1-encoded reverse Transcriptase as a target in cancer therapy. Frontiers in bioscience. 23(7). 1360–1369. 14 indexed citations
3.
Spadafora, Corrado. (2017). The “evolutionary field” hypothesis. Non-Mendelian transgenerational inheritance mediates diversification and evolution. Progress in Biophysics and Molecular Biology. 134. 27–37. 27 indexed citations
4.
5.
Lugini, Luana, et al.. (2014). Soma-to-Germline Transmission of RNA in Mice Xenografted with Human Tumour Cells: Possible Transport by Exosomes. PLoS ONE. 9(7). e101629–e101629. 113 indexed citations
6.
Pierro, A., Paolo Gaibani, Corrado Spadafora, et al.. (2013). Detection of specific antibodies against West Nile and Usutu viruses in healthy blood donors in northern Italy, 2010–2011. Clinical Microbiology and Infection. 19(10). E451–E453. 54 indexed citations
7.
Sciamanna, Ilaria, et al.. (2009). Retrotransposons, reverse transcriptase and the genesis of new genetic information. Gene. 448(2). 180–186. 40 indexed citations
8.
Spadafora, Corrado. (2008). Sperm-mediated 'reverse' gene transfer: a role of reverse transcriptase in the generation of new genetic information. Human Reproduction. 23(4). 735–740. 51 indexed citations
9.
Oricchio, Elisa, Ilaria Sciamanna, Rosanna Beraldi, et al.. (2007). Distinct roles for LINE-1 and HERV-K retroelements in cell proliferation, differentiation and tumor progression. Oncogene. 26(29). 4226–4233. 108 indexed citations
10.
Pittoggi, Carmine, Rosanna Beraldi, Ilaria Sciamanna, et al.. (2006). Generation of biologically active retro‐genes upon interaction of mouse spermatozoa with exogenous DNA. Molecular Reproduction and Development. 73(10). 1239–1246. 48 indexed citations
11.
Vallebona, P Sinibaldi, Patrizia Lavia, Enrico Garaci, & Corrado Spadafora. (2005). A role for endogenous reverse transcriptase in tumorigenesis and as a target in differentiating cancer therapy. Genes Chromosomes and Cancer. 45(1). 1–10. 49 indexed citations
12.
Spadafora, Corrado. (2004). Endogenous reverse transcriptase: a mediator of cell proliferation and differentiation. Cytogenetic and Genome Research. 105(2-4). 346–350. 37 indexed citations
13.
Pittoggi, Carmine, Ilaria Sciamanna, Elisabetta Mattei, et al.. (2003). Role of endogenous reverse transcriptase in murine early embryo development. Molecular Reproduction and Development. 66(3). 225–236. 57 indexed citations
14.
Sciamanna, Ilaria, Steven P. Piccoli, Laura Barberi, et al.. (2000). DNA dose and sequence dependence in sperm-mediated gene transfer. Molecular Reproduction and Development. 56(S2). 301–305. 28 indexed citations
15.
Buanne, Pasquale, Giuseppina Anna Corrente, Laura Micheli, et al.. (2000). Cloning of PC3B, a Novel Member of the PC3/BTG/TOB Family of Growth Inhibitory Genes, Highly Expressed in the Olfactory Epithelium. Genomics. 68(3). 253–263. 62 indexed citations
16.
Pittoggi, Carmine, Germana Zaccagnini, Roberto Giordano, et al.. (2000). Nucleosomal domains of mouse spermatozoa chromatin as potential sites for retroposition and foreign DNA integration. Molecular Reproduction and Development. 56(S2). 248–251. 28 indexed citations
17.
Maione, Barbara, Marialuisa Lavitrano, Corrado Spadafora, & Ann A. Kiessling. (1998). Sperm-mediated gene transfer in mice. Molecular Reproduction and Development. 50(4). 406–409. 75 indexed citations
18.
Spadafora, Corrado. (1998). Sperm cells and foreign DNA: a controversial relation. BioEssays. 20(11). 955–964. 121 indexed citations
19.
Zoraqi, G. & Corrado Spadafora. (1997). Integration of Foreign DNA Sequences into Mouse Sperm Genome. DNA and Cell Biology. 16(3). 291–300. 61 indexed citations
20.
Lavitrano, Marialuisa, Antonella Camaioni, Vito Michele Fazio, et al.. (1989). Sperm cells as vectors for introducing foreign DNA into eggs: Genetic transformation of mice. Cell. 57(5). 717–723. 399 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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