Claudia Lubrano

18 total papers · 852 total citations
17 papers, 666 citations indexed

About

Claudia Lubrano is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Claudia Lubrano has authored 17 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 8 papers in Polymers and Plastics and 6 papers in Molecular Biology. Recurrent topics in Claudia Lubrano's work include Neuroscience and Neural Engineering (12 papers), Conducting polymers and applications (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Claudia Lubrano is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Conducting polymers and applications (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Claudia Lubrano collaborates with scholars based in Italy, Germany and United States. Claudia Lubrano's co-authors include Francesca Santoro, Yoeri van de Burgt, Alberto Salleo, Giuseppina Polino, Yaakov Tuchman, Armantas Melianas, Lucio Cinà, Scott T. Keene, Bianxiao Cui and Laura Matino and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Nature Communications.

In The Last Decade

Claudia Lubrano

16 papers receiving 656 citations

Hit Papers

A biohybrid synapse with ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claudia Lubrano 355 305 238 235 108 17 666
Erik E. Josberger 315 0.9× 241 0.8× 181 0.8× 194 0.8× 98 0.9× 15 703
Stephan J. Ihle 230 0.6× 195 0.6× 410 1.7× 69 0.3× 90 0.8× 24 728
Chia‐Ling Chen 319 0.9× 204 0.7× 119 0.5× 78 0.3× 77 0.7× 27 703
Sydney A. Geissler 133 0.4× 335 1.1× 337 1.4× 101 0.4× 104 1.0× 18 716
Yuanyuan Guo 228 0.6× 310 1.0× 312 1.3× 107 0.5× 48 0.4× 26 691
Jeffrey Abbott 320 0.9× 459 1.5× 351 1.5× 49 0.2× 176 1.6× 14 772
Zhiyu Liu 223 0.6× 87 0.3× 315 1.3× 141 0.6× 111 1.0× 42 792
Tianyang Ye 243 0.7× 439 1.4× 257 1.1× 43 0.2× 81 0.8× 14 632
Kyounghwan Na 221 0.6× 498 1.6× 252 1.1× 111 0.5× 40 0.4× 18 653
Aleksander Promiński 199 0.6× 213 0.7× 432 1.8× 217 0.9× 84 0.8× 24 754

Countries citing papers authored by Claudia Lubrano

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Lubrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Lubrano

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

All Works

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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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