Fiona E. Müllner
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 3
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- Neural dynamics and brain function 3
- Visual perception and processing mechanisms 2
- Co-authors
- Corette J. Wierenga (2 shared papers)Tobias Bonhoeffer (2 shared papers)Botond Roska (3 shared papers)Santiago B. Rompani (2 shared papers)Keisuke Yonehara (2 shared papers)Chi Zhang (2 shared papers)Adrian Andreas Wanner (1 shared paper)Fred J. Sigworth (2 shared papers)
- Journals
- Neuron (4 papers)Biophysical Journal (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Fiona E. Müllner
8 papers receiving 288 citations
Peers
Comparison fields: 5 of 47
- Cellular and Molecular Neuroscience 189
- Cognitive Neuroscience 143
- Biophysics 28
- Developmental Neuroscience 14
- Molecular Biology 148
Countries citing papers authored by Fiona E. Müllner
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 104 | |
| 2 | 2015 | 62 | |
| 3 | 2010 | 45 | |
| 4 | 2010 | 30 | |
| 5 | 2010 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2024 | 5 | |
| 8 | 2025 | 4 |
About Fiona E. Müllner
Fiona E. Müllner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Biophysics and Neurology, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (2 papers), Visual perception and processing mechanisms (2 papers), Mass Spectrometry Techniques and Applications (1 paper), Virus-based gene therapy research (1 paper), Machine Learning in Materials Science (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (189 citations), Cognitive Neuroscience (143 citations), Biophysics (28 citations), Developmental Neuroscience (14 citations) and Molecular Biology (148 citations). Fiona E. Müllner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Corette J. Wierenga, Tobias Bonhoeffer, Botond Roska, Santiago B. Rompani, Keisuke Yonehara, Chi Zhang, Adrian Andreas Wanner, Fred J. Sigworth, Sheyum Syed and Paul R. Selvin. Their work appears in journals such as Neuron, Biophysical Journal, PLoS ONE and Scientific Reports.
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.