Laura Matino

522 citations
13 papers · 395 indexed · h-index 10
Topics
Neuroscience and Neural Engineering (10 papers)3D Printing in Biomedical Research (5 papers)Photoreceptor and optogenetics research (4 papers)

In The Last Decade

Laura Matino

13 papers receiving 393 citations

Peers

Laura Matino
Comparison fields: 5 of 49
  • Biomedical Engineering 221
  • Cellular and Molecular Neuroscience 214
  • Electrical and Electronic Engineering 121
  • Molecular Biology 79
  • Polymers and Plastics 46
Replace Frank Sommerhage with:
Frank Sommerhage United States
Danielle Rand United States
Ivan B. Dimov United Kingdom
Marie-Charline Blatché France
Claudia Lubrano Italy
Smita Pathak United States
Matthew R. Angle United States
Siheng Sean You United States
Waldemar Hällström Sweden
Giovanni Melle Italy
Laura Matino relative to Frank Sommerhage United States Frank Sommerhage's profile →
Citations per field
00.5×1.5×2.3×
Frank Sommerhage · 1×
Citations per year

Countries citing papers authored by Laura Matino

Since Specialization
Citations

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

Fields of papers citing papers by Laura Matino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Matino

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Matino. A scholar is included among the top collaborators of Laura Matino 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 Laura Matino. Laura Matino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 6
2 24
3 47
4 22
5 6
6 30
7 43
8 9
9 83
10 15
11 28
12 14
13 68

About Laura Matino

Laura Matino is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Polymers and Plastics, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), 3D Printing in Biomedical Research (5 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (214 citations), Biomedical Engineering (221 citations) and Structural Biology (7 citations). Laura Matino has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Francesca Santoro, Bianxiao Cui, Claudia Lubrano, Xiao Li, Allister F. McGuire, Giovanni Melle, Francesco De Angelis, Michele Dipalo, Tzahi Cohen‐Karni and Wei Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nano Letters and PLoS ONE.

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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