Elisa Garbayo

2.8k citations
52 papers · 2.1k indexed · 1 hit paper · h-index 28
Topics
Tissue Engineering and Regenerative Medicine (17 papers)Electrospun Nanofibers in Biomedical Applications (16 papers)Nerve injury and regeneration (13 papers)
Partner nations
SpainFranceUnited States

In The Last Decade

Elisa Garbayo

51 papers receiving 2.1k citations

Hit Papers

Lipid nanoparticles for siRNA delivery in cancer treatment20232026202420252023255075100

Peers

Elisa Garbayo
Comparison fields: 5 of 109
  • Molecular Biology 790
  • Biomaterials 787
  • Surgery 575
  • Biomedical Engineering 515
  • Cellular and Molecular Neuroscience 438
Replace Sarah E. Stabenfeldt with:
Sarah E. Stabenfeldt United States
Pietro Veglianese Italy
Yuan Zhu China
Simonetta Papa Italy
Rutledge Ellis‐Behnke United States
Jin Fan China
Lina R. Nih United States
Fang Zhang China
Michael J. Cooke Canada
Kirsten Haastert‐Talini Germany
Elisa Garbayo relative to Sarah E. Stabenfeldt United States Sarah E. Stabenfeldt's profile →
Citations per field
00.5×
Sarah E. Stabenfeldt · 1×
Citations per year

Countries citing papers authored by Elisa Garbayo

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Garbayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Garbayo

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Garbayo. A scholar is included among the top collaborators of Elisa Garbayo 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 Elisa Garbayo. Elisa Garbayo 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
#WorkIndexed citations
1 1
2 4
3 0
4 7
5 13
6 26
7 36
8
Lipid nanoparticles for siRNA delivery in cancer treatmentbreakdown →
105
9 8
10 17
11 34
12 3
13 14
14 96
15 22
16 58
17 31
18 41
19 53
20 70

About Elisa Garbayo

Elisa Garbayo is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (17 papers), Electrospun Nanofibers in Biomedical Applications (16 papers) and Nerve injury and regeneration (13 papers). The work is most often cited by research in Biomaterials (787 citations), Developmental Neuroscience (117 citations) and Pharmaceutical Science (147 citations). Elisa Garbayo has collaborated with scholars based in Spain, France and United States. Frequent co-authors include María J. Blanco‐Prieto, Felipe Prósper, Simon Pascual‐Gil, Eduardo Ansorena, Laura Saludas, Claudia N. Montero‐Menei, Teresa Simón‐Yarza, José L. Lanciego, Gloria Abizanda and Paul C. Schiller. Their work appears in journals such as Biomaterials, Advanced Drug Delivery Reviews and Scientific Reports.

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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