Daniela Zizioli

1.7k citations
48 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
Zebrafish Biomedical Research Applications (13 papers)Neurological diseases and metabolism (8 papers)Hereditary Neurological Disorders (7 papers)

In The Last Decade

Daniela Zizioli

47 papers receiving 1.3k citations

Hit Papers

Zebrafish Larvae as a Behavioral Model in Neuropharmacology2019202620212023201950100150200250

Peers

Daniela Zizioli
Comparison fields: 5 of 109
  • Molecular Biology 721
  • Cell Biology 680
  • Physiology 164
  • Neurology 144
  • Cellular and Molecular Neuroscience 116
Replace Jo Vanoevelen with:
Jo Vanoevelen Belgium
Marinella Pirozzi Italy
Guang‐Chao Chen Taiwan
Yuki Muranishi Japan
Péter L. Nagy United States
David T. Madden United States
Bryce A. Mendelsohn United States
William Todd Penberthy United States
Julio Amigo United States
Tie-Shan Tang China
Daniela Zizioli relative to Jo Vanoevelen Belgium Jo Vanoevelen's profile →
Citations per field
00.5×5.0×
Jo Vanoevelen · 1×
Citations per year

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
#WorkIndexed 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

About Daniela Zizioli

Daniela Zizioli is a scholar working on Cell Biology, Neurology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Neurological diseases and metabolism (8 papers) and Hereditary Neurological Disorders (7 papers). The work is most often cited by research in Cell Biology (680 citations), Physiology (88 citations) and Neurology (144 citations). Daniela Zizioli has collaborated with scholars based in Italy, Germany and United States. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal 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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