Livia D’Angelo

91 total papers · 2.3k total citations
68 papers, 1.4k citations indexed

About

Livia D’Angelo is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Livia D’Angelo has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 16 papers in Cell Biology and 15 papers in Endocrine and Autonomic Systems. Recurrent topics in Livia D’Angelo's work include Nerve injury and regeneration (16 papers), Zebrafish Biomedical Research Applications (14 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Livia D’Angelo is often cited by papers focused on Nerve injury and regeneration (16 papers), Zebrafish Biomedical Research Applications (14 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Livia D’Angelo collaborates with scholars based in Italy, Germany and France. Livia D’Angelo's co-authors include Paolo de Girolamo, Carla Lucini, Susan C. Warner, Stefan Schulte‐Merker, Paul J. Midtlyng, Peter Aleström, Daniel F. Schorderet, Frédéric Sohm, Pietro Cacialli and L. Castaldo and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Livia D’Angelo

63 papers receiving 1.4k citations

Hit Papers

Zebrafish: Housing and hu... 2015 2026 2018 2022 2019 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Livia D’Angelo 409 404 378 260 188 68 1.4k
Paolo de Girolamo 289 0.7× 563 1.4× 219 0.6× 249 1.0× 235 1.3× 114 1.6k
Diogo Lösch de Oliveira 436 1.1× 457 1.1× 725 1.9× 111 0.4× 83 0.4× 78 1.8k
H.‐Dieter Dellmann 399 1.0× 554 1.4× 179 0.5× 39 0.1× 214 1.1× 67 1.8k
Zoltán M. Varga 628 1.5× 142 0.4× 637 1.7× 94 0.4× 92 0.5× 45 1.8k
Bárbara D. Fontana 309 0.8× 244 0.6× 1.0k 2.8× 114 0.4× 35 0.2× 71 1.6k
Johannes Seeger 493 1.2× 319 0.8× 195 0.5× 63 0.2× 93 0.5× 71 1.6k
Gaynor E. Spencer 615 1.5× 1.1k 2.8× 226 0.6× 137 0.5× 154 0.8× 58 1.7k
Ravi Tolwani 382 0.9× 316 0.8× 160 0.4× 31 0.1× 150 0.8× 33 1.1k
Claudia Pinelli 213 0.5× 370 0.9× 66 0.2× 93 0.4× 49 0.3× 84 1.3k
Katharina Braun 555 1.4× 637 1.6× 100 0.3× 215 0.8× 117 0.6× 33 1.6k

Countries citing papers authored by Livia D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Livia D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Livia D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Livia D’Angelo. A scholar is included among the top collaborators of Livia D’Angelo 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 Livia D’Angelo. Livia D’Angelo 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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