Antonina Monaco

475 citations
7 papers · 393 · h-index 6

Impact in

    • Advanced Nanomaterials in Catalysis
    • Nanoparticles: synthesis and applications
    • Nanocluster Synthesis and Applications
    • Carbon and Quantum Dots Applications
    • Diamond and Carbon-based Materials Research

Papers in

Antonina Monaco

7 papers receiving 390 citations

Peers

Antonina Monaco
Comparison fields: 5 of 68
  • Materials Chemistry 289
  • Developmental Neuroscience 10
  • Biomedical Engineering 109
  • Biomaterials 29
  • Cellular and Molecular Neuroscience 30
Replace Jin-Kyu Lee with:
Jin-Kyu Lee South Korea
Stella Ostrovsky Israel
Sheng Hu United Kingdom
Sangseung Park South Korea
Claire Gaillard France
Ziyi Wan China
Jayanta Dolai India
Shima Masoudi Asil United States
Kathryn E. Klump United States
Alexander V. Zhilenkov Russia
Antonina Monaco relative to Jin-Kyu Lee South Korea Jin-Kyu Lee's profile →
Citations per field
00.5×2.7×
Jin-Kyu Lee · 1×
Citations per year

Countries citing papers authored by Antonina Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Antonina Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Antonina Monaco, 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 Antonina Monaco Line = papers co-authored together Antonina Monaco links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013143
2 2012136
3 201469
4 201717
5 201614
6 200913
7 20151

About Antonina Monaco

Antonina Monaco is a scholar working on Materials Chemistry, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 393 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Graphene and Nanomaterials Applications (2 papers), Alzheimer's disease research and treatments (1 paper), Fuel Cells and Related Materials (1 paper), Diamond and Carbon-based Materials Research (1 paper), Force Microscopy Techniques and Applications (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Materials Chemistry (289 citations), Developmental Neuroscience (10 citations), Biomedical Engineering (109 citations), Biomaterials (29 citations) and Cellular and Molecular Neuroscience (30 citations). Antonina Monaco has collaborated with scholars based in Belgium, Italy and Switzerland. Frequent co-authors include Michèle Giugliano, S. Santucci, David Ramos, Joaquín de Lapuente, Miquel Borràs, Mario Di Gioacchino, Anna Poma, Sudipta Seal, Barbara D’Angelo and Annamaria Cimini. Their work appears in journals such as Beilstein Journal of Nanotechnology, Macromolecules, Physical Review Applied, MRS Communications and International Journal of Molecular Sciences.

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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