E. Perrotta

750 total citations
32 papers, 597 citations indexed

About

E. Perrotta is a scholar working on Genetics, Insect Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, E. Perrotta has authored 32 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Insect Science and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in E. Perrotta's work include Insect Utilization and Effects (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). E. Perrotta is often cited by papers focused on Insect Utilization and Effects (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). E. Perrotta collaborates with scholars based in Italy and Nigeria. E. Perrotta's co-authors include Sandro Tripepi, Anita Giglio, Maria Penelope De Santo, Giovanni Golemme, Caterina Maria Tone, Federica Ciuchi, Maria Giovanna Buonomenna, Ida Perrotta, Elvira Brunelli and Tullia Zetto Brandmayr and has published in prestigious journals such as Advanced Functional Materials, Journal of Materials Chemistry A and Journal of Membrane Science.

In The Last Decade

E. Perrotta

32 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Perrotta Italy 16 104 95 94 93 75 32 597
Elisabeth Ingolić Austria 22 116 1.1× 45 0.5× 484 5.1× 87 0.9× 95 1.3× 64 1.6k
Wenfu Zhang China 13 21 0.2× 24 0.3× 123 1.3× 57 0.6× 80 1.1× 42 675
Yuri Nakamura Japan 21 174 1.7× 49 0.5× 598 6.4× 14 0.2× 36 0.5× 87 1.6k
Fatma Briki France 15 58 0.6× 17 0.2× 292 3.1× 17 0.2× 40 0.5× 26 851
Tomasz Panz Poland 9 79 0.8× 24 0.3× 80 0.9× 22 0.2× 276 3.7× 23 643
Aisuo Wang Australia 4 116 1.1× 23 0.2× 138 1.5× 24 0.3× 69 0.9× 10 537
Young-Mi Lee South Korea 23 141 1.4× 20 0.2× 274 2.9× 9 0.1× 180 2.4× 63 1.4k
Masashi Morita Japan 17 64 0.6× 25 0.3× 376 4.0× 37 0.4× 51 0.7× 43 829
Klaus Zanger Germany 15 340 3.3× 26 0.3× 275 2.9× 14 0.2× 322 4.3× 22 1.1k

Countries citing papers authored by E. Perrotta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of E. Perrotta

This figure shows the co-authorship network connecting the top 25 collaborators of E. Perrotta. A scholar is included among the top collaborators of E. Perrotta 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 E. Perrotta. E. Perrotta 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.
Gabriele, Domenico, Noemi Baldino, Settimio Sesti, et al.. (2015). Oxidation of human red blood cells by a free radical initiator: Effects on rheological properties. Clinical Hemorheology and Microcirculation. 60(4). 375–388. 15 indexed citations
2.
Talarico, Federica, Pietro Brandmayr, Piero Giulio Giulianini, et al.. (2014). Effects of metal pollution on survival and physiological responses in Carabus (Chaetocarabus) lefebvrei (Coleoptera, Carabidae). European Journal of Soil Biology. 61. 80–89. 39 indexed citations
3.
Perrotta, Ida, et al.. (2013). MnSOD expression in human atherosclerotic plaques: an immunohistochemical and ultrastructural study. Cardiovascular Pathology. 22(6). 428–437. 7 indexed citations
4.
Giglio, Anita, E. Perrotta, Federica Talarico, Tullia Zetto Brandmayr, & Enrico Ferrero. (2012). Sensilla on maxillary and labial palps in a helicophagous ground beetle larva (Coleoptera, Carabidae). Acta Zoologica. 94(3). 324–330. 20 indexed citations
5.
Buonomenna, Maria Giovanna, Giovanni Golemme, Caterina Maria Tone, et al.. (2012). Nanostructured Poly(styrene‐b‐butadiene‐b‐styrene) (SBS) Membranes for the Separation of Nitrogen from Natural Gas. Advanced Functional Materials. 22(8). 1759–1767. 55 indexed citations
6.
Perrotta, Ida, E. Perrotta, Carmela Guido, et al.. (2011). Ultrastructure of Popliteal Vein Aneurysm. Ultrastructural Pathology. 35(5). 197–203. 2 indexed citations
7.
Morelli, Catia, Pamela Maris, Diego Sisci, et al.. (2011). PEG-templated mesoporous silica nanoparticles exclusively target cancer cells. Nanoscale. 3(8). 3198–3198. 91 indexed citations
8.
Perrotta, Ida, Elvira Brunelli, Francesco Conforti, et al.. (2010). iNOS induction and PARP-1 activation in human atherosclerotic lesions: an immunohistochemical and ultrastructural approach. Cardiovascular Pathology. 20(4). 195–203. 32 indexed citations
9.
Perrotta, Ida, et al.. (2010). Ultrastructural Analysis and Electron Microscopic Localization of Nox4 in Healthy and Atherosclerotic Human Aorta. Ultrastructural Pathology. 35(1). 1–6. 12 indexed citations
10.
Vingolo, Enzo Maria, et al.. (2009). Pattern Stimulated Visual Training With Mp-1 Microperimeter in Evoluted AMD Patients. Investigative Ophthalmology & Visual Science. 50(13). 233–233. 1 indexed citations
11.
Perrotta, E., et al.. (2007). Biofeedback With Microperimeter MP-1 in Patients With Juvenile Macular Dystrophy (JMD). Investigative Ophthalmology & Visual Science. 48(13). 4504–4504. 1 indexed citations
12.
Grimaldi, Antonio Maria, et al.. (2007). Sunitinib: bridging present and future cancer treatment. Annals of Oncology. 18. vi31–vi34. 21 indexed citations
13.
14.
Perrotta, E., et al.. (2005). Gyrate Atrophy: Atypical Findings and Differential Diagnosis. Investigative Ophthalmology & Visual Science. 46(13). 539–539. 1 indexed citations
15.
Perrotta, E., et al.. (2005). Angiotensin Plasma Levels and Retinitis Pigmentosa Patients. Investigative Ophthalmology & Visual Science. 46(13). 530–530. 3 indexed citations
16.
Beneduci, Amerigo, G. Chidichimo, Sandro Tripepi, & E. Perrotta. (2005). Transmission electron microscopy study of the effects produced by wide-band low-power millimeter waves on MCF-7 human breast cancer cells in culture.. PubMed. 25(2A). 1009–13. 26 indexed citations
17.
Tripepi, Sandro, et al.. (2000). Morphological and functional variations of Leydig cells in testis of the domestic pig during the different biological stages of development. Journal of Experimental Zoology. 287(2). 167–175. 1 indexed citations
18.
Perrotta, E., et al.. (1999). [Electrocardiographic changes during at term labor].. PubMed. 29(1). 48–53. 2 indexed citations
19.
Perrotta, E. & Marco Fiore. (1997). [Native valve infective endocarditis caused by Streptococcus bovis. Efficacy of short-term antibiotic therapy and usefulness of serial echocardiographic evaluation].. PubMed. 88(11). 521–5. 1 indexed citations
20.
Perrotta, E., et al.. (1987). Electron microscope study of spermiogenesis inCaiman crocodylusL.. Bolletino di zoologia. 54(4). 307–318. 21 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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