E. Perrotta
Impact in
- Biophysics top 5%
- Electromagnetic Fields and Biological Effects
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- Plant and animal studies
Papers in
- Genetics 6
- Insect and Arachnid Ecology and Behavior 4
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- Insect Utilization and Effects 5
- Co-authors
- Sandro Tripepi (10 shared papers)Anita Giglio (6 shared papers)Maria Giovanna Buonomenna (3 shared papers)Maria Penelope De Santo (3 shared papers)Giovanni Golemme (3 shared papers)Caterina Maria Tone (3 shared papers)Federica Ciuchi (3 shared papers)Elvira Brunelli (5 shared papers)
In The Last Decade
E. Perrotta
32 papers receiving 582 citations
Peers
Comparison fields: 5 of 103
- Biophysics 52
- Ecology, Evolution, Behavior and Systematics 94
- Biomaterials 61
- Insect Science 54
- Biotechnology 31
Countries citing papers authored by E. Perrotta
This map shows the geographic impact of E. Perrotta'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 E. Perrotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Perrotta more than expected).
Fields of papers citing papers by E. Perrotta
This network shows the impact of papers produced by E. Perrotta. 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 E. Perrotta. The network helps show where E. Perrotta may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Perrotta, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 93 | |
| 2 | 2012 | 55 | |
| 3 | 2013 | 47 | |
| 4 | 2014 | 39 | |
| 5 | 2006 | 32 | |
| 6 | 2010 | 32 | |
| 7 | 2003 | 32 | |
| 8 | Transmission electron microscopy study of the effects produced by wide-band low-power millimeter waves on MCF-7 human breast cancer cells in culture. | 2005 | 26 |
| 9 | 2011 | 23 | |
| 10 | 1987 | 22 | |
| 11 | 2007 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2004 | 19 | |
| 15 | Selective inhibition of tumoral cells growth by low power millimeter waves. | 2002 | 19 |
| 16 | 2009 | 18 | |
| 17 | 2008 | 17 | |
| 18 | 2015 | 15 | |
| 19 | 2010 | 12 | |
| 20 | 2000 | 10 |
About E. Perrotta
E. Perrotta is a scholar working on Genetics, Insect Science, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 605 indexed citations. Recurring topics across this work include Insect Utilization and Effects (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Neurobiology and Insect Physiology Research (4 papers), Membrane Separation and Gas Transport (3 papers), Sperm and Testicular Function (3 papers), Electromagnetic Fields and Biological Effects (3 papers), Renal cell carcinoma treatment (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Biophysics (52 citations), Ecology, Evolution, Behavior and Systematics (94 citations), Biomaterials (61 citations), Insect Science (54 citations) and Biotechnology (31 citations). E. Perrotta has collaborated with scholars based in Italy and Nigeria. Frequent co-authors include Sandro Tripepi, Anita Giglio, Maria Giovanna Buonomenna, Maria Penelope De Santo, Giovanni Golemme, Caterina Maria Tone, Federica Ciuchi, Elvira Brunelli, Tullia Zetto Brandmayr and Ida Perrotta. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Cardiovascular Pathology, Acta Zoologica, Journal of Experimental Zoology and Zoologischer Anzeiger.
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.