Lucia Schoderboeck

839 citations
14 papers · 548 · h-index 12

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • Virus-based gene therapy research 4
    • Genetics and Neurodevelopmental Disorders 2

Lucia Schoderboeck

13 papers receiving 543 citations

Peers

Lucia Schoderboeck
Comparison fields: 5 of 92
  • Developmental Neuroscience 45
  • Cellular and Molecular Neuroscience 124
  • Molecular Biology 317
  • Neurology 38
  • Physiology 107
Replace Wanwan Zhu with:
Wanwan Zhu China
Lingyan Xing China
Xiling Yin United States
Orr Shomroni Germany
Hong Cui United States
Matthew D. Howell United States
Serena Barral United Kingdom
Susanna Molinari Italy
Suel–Kee Kim South Korea
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Lucia Schoderboeck

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Schoderboeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lucia Schoderboeck, 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 Lucia Schoderboeck Line = papers co-authored together Lucia Schoderboeck links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020108
2 2010102
3 201580
4 201063
5 201845
6 201845
7 200925
8 202117
9 200917
10 201515
11 201814
12 202212
13 20075
14 20180

About Lucia Schoderboeck

Lucia Schoderboeck is a scholar working on Molecular Biology, Genetics, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Alzheimer's disease research and treatments (2 papers), CRISPR and Genetic Engineering (2 papers), Lysosomal Storage Disorders Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA Interference and Gene Delivery (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (45 citations), Cellular and Molecular Neuroscience (124 citations), Molecular Biology (317 citations), Neurology (38 citations) and Physiology (107 citations). Lucia Schoderboeck has collaborated with scholars based in New Zealand, Austria and United States. Frequent co-authors include Stephanie M. Hughes, Wickliffe C. Abraham, Michael Kiebler, Clémentine Bosch‐Bouju, Louise C. Parr‐Brownlie, Romana Hornek, Annemarie Losert, Ewald Gingl, Francesca Di Leva and Daniela Karra. Their work appears in journals such as Molecular Brain, Neurobiology of Disease, Chemosphere, Molecular Therapy and Frontiers in Molecular 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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