Federica De Zen

29 total papers · 2.2k total citations
15 papers, 915 citations indexed

About

Federica De Zen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Federica De Zen has authored 15 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Federica De Zen's work include Nerve injury and regeneration (5 papers), Autophagy in Disease and Therapy (3 papers) and Cell death mechanisms and regulation (3 papers). Federica De Zen is often cited by papers focused on Nerve injury and regeneration (5 papers), Autophagy in Disease and Therapy (3 papers) and Cell death mechanisms and regulation (3 papers). Federica De Zen collaborates with scholars based in Italy, Germany and United States. Federica De Zen's co-authors include Andreas Linkermann, Stefan Krautwald, Ulrich Kunzendorf, Joel M. Weinberg, Jan Hinrich Bräsen, Ricardo Weinlich, Douglas R. Green, Alberto Ortíz, Henning Walczak and Maurice Darding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrinology and International Journal of Molecular Sciences.

In The Last Decade

Federica De Zen

13 papers receiving 908 citations

Hit Papers

Two independent pathways ... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Federica De Zen 577 217 203 126 112 15 915
Meiying Qi 485 0.8× 259 1.2× 316 1.6× 85 0.7× 130 1.2× 18 1.1k
Eirini Kefaloyianni 495 0.9× 199 0.9× 125 0.6× 61 0.5× 184 1.6× 23 1.0k
Shenaz Khan 531 0.9× 114 0.5× 269 1.3× 60 0.5× 127 1.1× 21 980
R G Gronwald 541 0.9× 121 0.6× 132 0.7× 65 0.5× 134 1.2× 11 1.2k
Congwei Luo 523 0.9× 125 0.6× 270 1.3× 68 0.5× 111 1.0× 22 995
Khader Valli Rupanagudi 490 0.8× 400 1.8× 251 1.2× 93 0.7× 79 0.7× 16 1.1k
Jun Yao 423 0.7× 174 0.8× 114 0.6× 74 0.6× 67 0.6× 28 897
Sung Kwang Park 417 0.7× 114 0.5× 73 0.4× 88 0.7× 117 1.0× 22 861
Jack Heath 607 1.1× 197 0.9× 236 1.2× 89 0.7× 136 1.2× 19 1.2k
Rafia S. Al‐Lamki 410 0.7× 305 1.4× 199 1.0× 83 0.7× 201 1.8× 22 1.1k

Countries citing papers authored by Federica De Zen

Since Specialization
Citations

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

Fields of papers citing papers by Federica De Zen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica De Zen. 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 Federica De Zen. The network helps show where Federica De Zen may publish in the future.

Co-authorship network of co-authors of Federica De Zen

This figure shows the co-authorship network connecting the top 25 collaborators of Federica De Zen. A scholar is included among the top collaborators of Federica De Zen 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 Federica De Zen. Federica De Zen 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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