Fiona E. Müllner

432 total citations
7 papers, 255 citations indexed

About

Fiona E. Müllner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Fiona E. Müllner has authored 7 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Fiona E. Müllner's work include Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (2 papers) and Neural dynamics and brain function (2 papers). Fiona E. Müllner is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (2 papers) and Neural dynamics and brain function (2 papers). Fiona E. Müllner collaborates with scholars based in Germany, Switzerland and United States. Fiona E. Müllner's co-authors include Corette J. Wierenga, Tobias Bonhoeffer, Botond Roska, Chi Zhang, Santiago B. Rompani, Paul R. Selvin, Keisuke Yonehara, Sheyum Syed, Adrian Wanner and Fred J. Sigworth and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Fiona E. Müllner

7 papers receiving 254 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fiona E. Müllner Germany	5	169	129	117	24	16	7	255
Sarah Hawes United States	8	188 1.1×	81 0.6×	100 0.9×	29 1.2×	20 1.3×	11	294
Carolina Borges-Merjane Austria	6	163 1.0×	67 0.5×	93 0.8×	13 0.5×	36 2.3×	9	220
Kyle P. Lillis United States	11	313 1.9×	115 0.9×	197 1.7×	67 2.8×	27 1.7×	22	446
Brendan A. Bicknell Australia	8	182 1.1×	52 0.4×	175 1.5×	20 0.8×	24 1.5×	9	286
Christopher J. Roome Japan	9	195 1.2×	86 0.7×	130 1.1×	39 1.6×	43 2.7×	13	289
Zheng Xie United States	9	160 0.9×	160 1.2×	70 0.6×	23 1.0×	7 0.4×	16	378
Carolien van Rijnsoever Switzerland	4	149 0.9×	117 0.9×	53 0.5×	85 3.5×	20 1.3×	4	329
Federico W. Grillo United Kingdom	8	141 0.8×	84 0.7×	84 0.7×	34 1.4×	41 2.6×	8	232
Joseph B. Wekselblatt United States	3	150 0.9×	87 0.7×	148 1.3×	24 1.0×	12 0.8×	5	244
Natacha Retailleau France	6	205 1.2×	197 1.5×	50 0.4×	34 1.4×	33 2.1×	7	349

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-authorship network of co-authors of Fiona E. Müllner

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona E. Müllner. A scholar is included among the top collaborators of Fiona E. Müllner 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 Fiona E. Müllner. Fiona E. Müllner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Müllner, Fiona E., et al.. (2025). PEGDA-based HistoBrick for increasing throughput of cryosectioning and immunohistochemistry in organoid and small tissue studies. Scientific Reports. 15(1). 412–412. 4 indexed citations

2.

Müllner, Fiona E. & Botond Roska. (2024). Individual thalamic inhibitory interneurons are functionally specialized toward distinct visual features. Neuron. 112(16). 2765–2782.e9. 1 indexed citations

3.

Rompani, Santiago B., Fiona E. Müllner, Adrian Wanner, et al.. (2017). Different Modes of Visual Integration in the Lateral Geniculate Nucleus Revealed by Single-Cell-Initiated Transsynaptic Tracing. Neuron. 93(4). 767–776.e6. 94 indexed citations

4.

Müllner, Fiona E., Corette J. Wierenga, & Tobias Bonhoeffer. (2015). Precision of Inhibition: Dendritic Inhibition by Individual GABAergic Synapses on Hippocampal Pyramidal Cells Is Confined in Space and Time. Neuron. 87(3). 576–589. 60 indexed citations

5.

Müllner, Fiona E., Sheyum Syed, Paul R. Selvin, & Fred J. Sigworth. (2010). Improved Hidden Markov Models for Molecular Motors, Part 1: Basic Theory. Biophysical Journal. 99(11). 3684–3695. 29 indexed citations

6.

Syed, Sheyum, Fiona E. Müllner, Paul R. Selvin, & Fred J. Sigworth. (2010). Improved Hidden Markov Models for Molecular Motors, Part 2: Extensions and Application to Experimental Data. Biophysical Journal. 99(11). 3696–3703. 22 indexed citations

7.

Wierenga, Corette J., et al.. (2010). Molecular and Electrophysiological Characterization of GFP-Expressing CA1 Interneurons in GAD65-GFP Mice. PLoS ONE. 5(12). e15915–e15915. 45 indexed citations

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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