Mario D’Acunto

1.3k citations
80 papers · 1.1k · h-index 18

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties
    • Fractional Differential Equations Solutions

Papers in

Mario D’Acunto

77 papers receiving 1.1k citations

Peers

Mario D’Acunto
Comparison fields: 5 of 131
  • Biomaterials 243
  • Modeling and Simulation 80
  • Biophysics 82
  • Biomedical Engineering 464
  • Surfaces, Coatings and Films 71
Replace Feifei Liu with:
Feifei Liu China
Yuanming Chen China
Dongchoul Kim South Korea
Helene Andersson Sweden
Karel Domanský United States
B. Shapiro United States
Tamal Das India
Chao Qian China
Kin Fong Lei Taiwan
Niall P. Macdonald Australia
Mario D’Acunto relative to Feifei Liu China Feifei Liu's profile →
Citations per field
00.5×6.8×
Feifei Liu · 1×
Citations per year

Countries citing papers authored by Mario D’Acunto

Since Specialization
Citations

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

Fields of papers citing papers by Mario D’Acunto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario D’Acunto. 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 Mario D’Acunto. The network helps show where Mario D’Acunto may publish in the future.

Co-authors

The 25 scholars most cited alongside Mario D’Acunto, 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 Mario D’Acunto Line = papers co-authored together Mario D’Acunto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 200778
3 200875
4 201772
5 200553
6 200844
7 200941
8 202036
9 200633
10 200633
11 200629
12 201029
13 201829
14 200027
15 200725
16 200321
17 201421
18 200718
19 202216
20 201216

About Mario D’Acunto

Mario D’Acunto is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Biophysics, Computer Vision and Pattern Recognition and Biomaterials, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (14 papers), Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), biodegradable polymer synthesis and properties (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Digital Imaging for Blood Diseases (5 papers) and Near-Field Optical Microscopy (5 papers). The work is most often cited by research in Biomaterials (243 citations), Modeling and Simulation (80 citations), Biophysics (82 citations), Biomedical Engineering (464 citations) and Surfaces, Coatings and Films (71 citations). Mario D’Acunto has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include P. Giusti, Gianluca Ciardelli, Giovanni Vozzi, Simone Napolitano, Patrizia Cioni, Pasqualantonio Pingue, Edi Gabellieri, Serena Danti, P. A. Rolla and Luisa Trombi. Their work appears in journals such as Nanotechnology, Scientific Reports, Macromolecular Bioscience, Tribology International and Materials Letters.

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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