Fiona E. Müllner

432 citations
7 papers · 255 · h-index 5

Impact in

    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms

Papers in

Fiona E. Müllner

7 papers receiving 254 citations

Peers

Fiona E. Müllner
Comparison fields: 5 of 45
  • Cellular and Molecular Neuroscience 169
  • Cognitive Neuroscience 117
  • Biophysics 24
  • Developmental Neuroscience 14
  • Neurology 16
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Sarah Hawes United States
Paul G. Fahey United States
Alvar Prönneke Germany
Brendan A. Bicknell Australia
Yves Bernaerts Germany
Peter Chong United States
Joseph B. Wekselblatt United States
Erika L. Knott United States
Alex D. Bird Germany
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Citations per field
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Citations per year

Countries citing papers authored by Fiona E. Müllner

Since Specialization
Citations

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

Fields of papers citing papers by Fiona E. Müllner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona E. Müllner. 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 Fiona E. Müllner. The network helps show where Fiona E. Müllner may publish in the future.

Co-authors

The 15 scholars most cited alongside Fiona E. Müllner, 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 Fiona E. Müllner Line = papers co-authored together Fiona E. Müllner links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201794
2 201560
3 201045
4 201029
5 201022
6 20254
7 20241

About Fiona E. Müllner

Fiona E. Müllner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Genetics, having authored 7 papers that have together received 255 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (2 papers), Neural dynamics and brain function (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cell Image Analysis Techniques (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), RNA and protein synthesis mechanisms (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (169 citations), Cognitive Neuroscience (117 citations), Biophysics (24 citations), Developmental Neuroscience (14 citations) and Neurology (16 citations). Fiona E. Müllner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Tobias Bonhoeffer, Corette J. Wierenga, Botond Roska, Sheyum Syed, Fred J. Sigworth, Keisuke Yonehara, Paul R. Selvin, Adrian Wanner, Santiago B. Rompani and Chi Zhang. Their work appears in journals such as Neuron, Biophysical Journal, Scientific Reports 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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