Daniela Zizioli

1.7k total citations · 1 hit paper
48 papers, 1.3k citations indexed

About

Daniela Zizioli is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Zizioli has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 21 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Zizioli's work include Zebrafish Biomedical Research Applications (13 papers), Neurological diseases and metabolism (8 papers) and Hereditary Neurological Disorders (7 papers). Daniela Zizioli is often cited by papers focused on Zebrafish Biomedical Research Applications (13 papers), Neurological diseases and metabolism (8 papers) and Hereditary Neurological Disorders (7 papers). Daniela Zizioli collaborates with scholars based in Italy, Germany and United States. Daniela Zizioli's co-authors include Dario Finazzi, Peter Schu, Paul Säftig, Christoph Meyer, Maurizio Memo, Kurt Von Figura, Ram Manohar Basnet, Jens C. Hamann, Eeva‐Liisa Eskelinen and Giuseppe Borsani and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Daniela Zizioli

47 papers receiving 1.3k citations

Hit Papers

Zebrafish Larvae as a Behavioral Model in Neuropharmacology 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Daniela Zizioli
Comparison fields: 5 of 109
  • Molecular Biology 721
  • Cell Biology 680
  • Physiology 164
  • Neurology 144
  • Cellular and Molecular Neuroscience 116
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Sachiko Kamakura Japan
Joana Neves United States
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Lingfei Luo China
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Stephen Wilson United States View profile →
Citations per field, relative to Daniela Zizioli
Daniela Zizioli · 1×
Citations per year, relative to Daniela Zizioli
Daniela Zizioli · 1×

Countries citing papers authored by Daniela Zizioli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Zizioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Zizioli

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Zizioli. A scholar is included among the top collaborators of Daniela Zizioli 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 Daniela Zizioli. Daniela Zizioli 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
# Work Indexed citations
1 3
2 1
3 1
4 6
5 5
6 6
7 2
8 3
9 11
10 2
11 6
12 15
13 4
14 61
15 36
16 7
17 29
18 52
19 360
20 114

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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