Nicolás Muzzio

645 citations
31 papers · 476 · h-index 14

Impact in

Papers in

Nicolás Muzzio

29 papers receiving 474 citations

Peers

Nicolás Muzzio
Comparison fields: 5 of 90
  • Surfaces, Coatings and Films 136
  • Biomaterials 128
  • Biomedical Engineering 209
  • Molecular Medicine 21
  • Modeling and Simulation 15
Replace Varvara Gribova with:
Varvara Gribova France
Sina Saxer Switzerland
Makoto Sakuragi Japan
Corinne R. Wittmer United States
Amanda Bridges United States
Yafei Luan China
Annj Zamuner Italy
Peter Gasteier Germany
Erol Hasan United Kingdom
Monica A. Serban United States
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Varvara Gribova · 1×
Citations per year

Countries citing papers authored by Nicolás Muzzio

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Muzzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 202147
3 201735
4 201631
5 201927
6 201926
7 202124
8 201524
9 201620
10 201419
11 202218
12 201816
13 202115
14 201913
15 201913
16 202110
17 202310
18 20179
19 20219
20 20148

About Nicolás Muzzio

Nicolás Muzzio is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films, Surgery, Cellular and Molecular Neuroscience and Modeling and Simulation, having authored 31 papers that have together received 476 indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (13 papers), Bone Tissue Engineering Materials (7 papers), Neuroscience and Neural Engineering (6 papers), Mathematical Biology Tumor Growth (5 papers), Cellular Mechanics and Interactions (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Conducting polymers and applications (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (136 citations), Biomaterials (128 citations), Biomedical Engineering (209 citations), Molecular Medicine (21 citations) and Modeling and Simulation (15 citations). Nicolás Muzzio has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Sergio Moya, Gabriela Romero, M. A. Pasquale, Omar Azzaroni, Ane Escobar, Eleftheria Diamanti, Danijela Gregureć, Marek Grzelczak, Pedro Horacio González and A.J. Arvía. Their work appears in journals such as Advanced Materials Interfaces, ACS Applied Nano Materials, Pharmaceutics, Materials Science and Engineering C and Applied Surface Science.

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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