Daniela Uziel

816 citations
21 papers · 655 · h-index 11

Impact in

Papers in

Daniela Uziel

19 papers receiving 649 citations

Peers

Daniela Uziel
Comparison fields: 5 of 78
  • Developmental Neuroscience 252
  • Cellular and Molecular Neuroscience 450
  • Cell Biology 137
  • Molecular Biology 264
  • Cognitive Neuroscience 64
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Melissa Barber United Kingdom
Blesilda S. Reinoso United States
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N. Rocamora Spain
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Barbara P. Hartz Denmark
Manuela Allegra Italy
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Oriane Blanquie Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Uziel

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Uziel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Uziel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Uziel Line = papers co-authored together Daniela Uziel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998280
2 2005112
3 200457
4 200247
5 200532
6 200627
7 200817
8 201814
9 200914
10 199812
11 200712
12 19968
13 19927
14 20116
15 20083
16 20182
17 20142
18 20221
19 20171
20
O Que é medicina de precisão e como ela pode impactar o setor de saúde
20201

About Daniela Uziel

Daniela Uziel is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Pediatrics, Perinatology and Child Health, Molecular Biology and Information Systems and Management, having authored 21 papers that have together received 655 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Neonatal and fetal brain pathology (4 papers), Zebrafish Biomedical Research Applications (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Business and Management Studies (3 papers) and Education and Public Policy (2 papers). The work is most often cited by research in Developmental Neuroscience (252 citations), Cellular and Molecular Neuroscience (450 citations), Cell Biology (137 citations), Molecular Biology (264 citations) and Cognitive Neuroscience (64 citations). Daniela Uziel has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Jürgen Bolz, Marion Lohrum, Andreas W. Püschel, Dominique Bagnard, Roberto Lent, Pat Levitt, Wolfgang Wurst, Renato Rozental, Christiane Peuckert and Patric K. Stanton. Their work appears in journals such as Behavioural Brain Research, Neuroreport, Anatomical Sciences Education, The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology and Neuroscience.

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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