Corrado Spadafora
Impact in
- Genetics top 1%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Molecular Biology top 2%
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
Papers in ⓘ
-
- CRISPR and Genetic Engineering 41
- RNA Interference and Gene Delivery 21
- Genomics and Chromatin Dynamics 11
- Advanced biosensing and bioanalysis techniques 10
- RNA and protein synthesis mechanisms 10
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- Sperm and Testicular Function 8
- Co-authors
- Ilaria Sciamanna (25 shared papers)Marialuisa Lavitrano (10 shared papers)Carmine Pittoggi (13 shared papers)Barbara Maione (8 shared papers)R Lorenzini (11 shared papers)Pierre Chambon (4 shared papers)Rosanna Beraldi (8 shared papers)Antonella Camaioni (3 shared papers)
- Journals
- BioEssays (4 papers)Oncotarget (4 papers)Nucleic Acids Research (3 papers)Experimental Cell Research (3 papers)Oncogene (3 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Corrado Spadafora
86 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 112
- Genetics 1.8k
- Molecular Biology 3.2k
- Reproductive Medicine 383
- Plant Science 1.1k
- Virology 106
Countries citing papers authored by Corrado Spadafora
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
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-authors
The 25 scholars most cited alongside Corrado Spadafora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 399 | |
| 2 | 2005 | 168 | |
| 3 | 1997 | 137 | |
| 4 | 1976 | 133 | |
| 5 | 2005 | 131 | |
| 6 | 1998 | 121 | |
| 7 | 2005 | 118 | |
| 8 | 2009 | 116 | |
| 9 | 2014 | 113 | |
| 10 | 2007 | 108 | |
| 11 | 1999 | 108 | |
| 12 | 1995 | 102 | |
| 13 | 2003 | 100 | |
| 14 | 1992 | 97 | |
| 15 | 1979 | 97 | |
| 16 | 2000 | 95 | |
| 17 | 1993 | 91 | |
| 18 | 1996 | 83 | |
| 19 | 1998 | 75 | |
| 20 | 2005 | 70 |
About Corrado Spadafora
Corrado Spadafora is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Plant Science and Virology, having authored 87 papers that have together received 4.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (41 papers), Chromosomal and Genetic Variations (29 papers), Animal Genetics and Reproduction (24 papers), RNA Interference and Gene Delivery (21 papers), Genomics and Chromatin Dynamics (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), RNA and protein synthesis mechanisms (10 papers) and Sperm and Testicular Function (8 papers). The work is most often cited by research in Genetics (1.8k citations), Molecular Biology (3.2k citations), Reproductive Medicine (383 citations), Plant Science (1.1k citations) and Virology (106 citations). Corrado Spadafora has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Ilaria Sciamanna, Marialuisa Lavitrano, Carmine Pittoggi, Barbara Maione, R Lorenzini, Pierre Chambon, Rosanna Beraldi, Antonella Camaioni, Maria Giulia Farace and Susanna Dolci. Their work appears in journals such as BioEssays, Oncotarget, Nucleic Acids Research, Experimental Cell Research and Oncogene.
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.