A. Cascino
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 8
- DNA and Nucleic Acid Chemistry 8
- DNA Repair Mechanisms 3
- RNA Interference and Gene Delivery 3
- Genetics 13
- Bacterial Genetics and Biotechnology 9
- Forensic and Genetic Research 3
- Co-authors
- E. Peter Geiduschek (6 shared papers)Marilena Cipollaro (30 shared papers)Umberto Galderisi (23 shared papers)Silvano Riva (5 shared papers)Giovanni Di Bernardo (14 shared papers)Giovanni Galano (9 shared papers)Mariarosa Anna Beatrice Melone (9 shared papers)Reen Wu (1 shared paper)
- Journals
- Journal of Molecular Biology (4 papers)Journal of Cellular Biochemistry (3 papers)Nucleic Acids Research (3 papers)Virology (3 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
A. Cascino
45 papers receiving 786 citations
Peers
Comparison fields: 5 of 108
- Genetics 315
- Ecology 265
- Developmental Neuroscience 39
- Molecular Biology 592
- Endocrinology 38
Countries citing papers authored by A. Cascino
This map shows the geographic impact of A. Cascino'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 A. Cascino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Cascino more than expected).
Fields of papers citing papers by A. Cascino
This network shows the impact of papers produced by A. Cascino. 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 A. Cascino. The network helps show where A. Cascino may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Cascino, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1970 | 117 | |
| 2 | 2007 | 64 | |
| 3 | 1970 | 61 | |
| 4 | 1975 | 52 | |
| 5 | 1999 | 44 | |
| 6 | 2003 | 38 | |
| 7 | 1998 | 37 | |
| 8 | 1999 | 30 | |
| 9 | 1998 | 28 | |
| 10 | 2004 | 26 | |
| 11 | 2005 | 26 | |
| 12 | 1970 | 25 | |
| 13 | 1999 | 24 | |
| 14 | 2001 | 23 | |
| 15 | 1999 | 23 | |
| 16 | 1970 | 22 | |
| 17 | 2000 | 21 | |
| 18 | 1996 | 19 | |
| 19 | 2001 | 16 | |
| 20 | 2005 | 16 |
About A. Cascino
A. Cascino is a scholar working on Molecular Biology, Genetics, Ecology, Cardiology and Cardiovascular Medicine and Plant Science, having authored 46 papers that have together received 879 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (8 papers), DNA and Nucleic Acid Chemistry (8 papers), Cardiac Arrhythmias and Treatments (4 papers), Forensic and Genetic Research (3 papers), DNA Repair Mechanisms (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (315 citations), Ecology (265 citations), Developmental Neuroscience (39 citations), Molecular Biology (592 citations) and Endocrinology (38 citations). A. Cascino has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include E. Peter Geiduschek, Marilena Cipollaro, Umberto Galderisi, Silvano Riva, Giovanni Di Bernardo, Giovanni Galano, Mariarosa Anna Beatrice Melone, Reen Wu, Luigi De Masi and Amalia Forte. Their work appears in journals such as Journal of Molecular Biology, Journal of Cellular Biochemistry, Nucleic Acids Research, Virology and Journal of Cellular Physiology.
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.