Mara Perrone

459 citations
15 papers · 402 · h-index 12

Impact in

Papers in

Mara Perrone

15 papers receiving 399 citations

Peers

Mara Perrone
Comparison fields: 5 of 76
  • Pharmaceutical Science 138
  • Biomaterials 119
  • Molecular Medicine 40
  • Molecular Biology 131
  • Biomedical Engineering 83
Replace Mahboubeh Rezazadeh with:
Mahboubeh Rezazadeh Iran
Claudio Palazzo Belgium
Sankalp Gharat India
Jiangxiu Niu China
Zi Ling Li China
Kavita R. Gajbhiye India
Özgür Eşi̇m Türkiye
Abhishek Jha India
Pallavi Nayak India
Golnaz Kamalinia Iran
Mara Perrone relative to Mahboubeh Rezazadeh Iran Mahboubeh Rezazadeh's profile →
Citations per field
00.5×1.5×2.2×
Mahboubeh Rezazadeh · 1×
Citations per year

Countries citing papers authored by Mara Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Mara Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mara Perrone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mara Perrone Line = papers co-authored together Mara Perrone links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201660
2 201748
3 201445
4 201642
5 201840
6 201638
7 201627
8 201823
9 201719
10 201717
11 201614
12 201814
13 20168
14 20205
15 20202

About Mara Perrone

Mara Perrone is a scholar working on Molecular Biology, Pharmaceutical Science, Cellular and Molecular Neuroscience, Polymers and Plastics and Pharmacology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (5 papers), RNA Interference and Gene Delivery (4 papers), Dendrimers and Hyperbranched Polymers (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Oral and gingival health research (1 paper). The work is most often cited by research in Pharmaceutical Science (138 citations), Biomaterials (119 citations), Molecular Medicine (40 citations), Molecular Biology (131 citations) and Biomedical Engineering (83 citations). Mara Perrone has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Nunzio Denora, Annalisa Cutrignelli, Massimo Franco, Angela Lopedota, Valentino Laquintana, Antonio Lopalco, Rosa Maria Iacobazzi, Elisabetta Fanizza, Andreas Bernkop‐Schnürch and Nicoletta Depalo. Their work appears in journals such as European Journal of Pharmaceutics and Biopharmaceutics, International Journal of Molecular Sciences, Pharmaceutical Research, Scientific Reports and Acta Biomaterialia.

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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