Stefanie Poll

806 total citations
10 papers, 485 citations indexed

About

Stefanie Poll is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Stefanie Poll has authored 10 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Stefanie Poll's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Alzheimer's disease research and treatments (2 papers). Stefanie Poll is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Alzheimer's disease research and treatments (2 papers). Stefanie Poll collaborates with scholars based in Germany, France and Sweden. Stefanie Poll's co-authors include Martin Fuhrmann, Manuel Mittag, Kevin Keppler, Julia Steffen, Boris Schmidt, Jens A. Wagner, V. V. G. Krishna Inavalli, Stéphane Bancelin, U. Valentin Nägerl and Thomas Pfeiffer and has published in prestigious journals such as Neuron, The Journal of Experimental Medicine and Nature Neuroscience.

In The Last Decade

Stefanie Poll

10 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefanie Poll Germany	7	277	178	145	120	107	10	485
Manuel Mittag Germany	10	306 1.1×	138 0.8×	157 1.1×	102 0.8×	131 1.2×	15	518
Kevin Keppler Germany	6	153 0.6×	151 0.8×	68 0.5×	143 1.2×	77 0.7×	6	371
Emanuele Murana Italy	9	184 0.7×	151 0.8×	103 0.7×	133 1.1×	122 1.1×	9	566
Matteo Bernabucci United States	10	180 0.6×	97 0.5×	112 0.8×	128 1.1×	228 2.1×	16	486
Pascale Tiret France	8	503 1.8×	266 1.5×	187 1.3×	77 0.6×	159 1.5×	8	718
Yulia Dembitskaya Russia	13	286 1.0×	117 0.7×	116 0.8×	46 0.4×	143 1.3×	20	451
Grégory Ghézali France	7	255 0.9×	150 0.8×	57 0.4×	68 0.6×	181 1.7×	9	454
Thomas E. Chater Japan	9	334 1.2×	86 0.5×	133 0.9×	78 0.7×	223 2.1×	12	554
Vasily Vorobyov Russia	16	232 0.8×	66 0.4×	335 2.3×	116 1.0×	169 1.6×	44	696
Verena Untiet Denmark	12	405 1.5×	131 0.7×	187 1.3×	64 0.5×	171 1.6×	17	716

Countries citing papers authored by Stefanie Poll

Since Specialization

Citations

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

Fields of papers citing papers by Stefanie Poll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Poll

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

All Works

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10 of 10 papers shown

Fuhrmann, Falko, Manuel Mittag, Stefanie Poll, et al.. (2025). Three-photon in vivo imaging of neurons and glia in the medial prefrontal cortex with sub-cellular resolution. Communications Biology. 8(1). 795–795. 1 indexed citations

Guha, Saurav, et al.. (2025). Engrams across diseases: Different pathologies – unifying mechanisms?. Neurobiology of Learning and Memory. 219. 108036–108036. 1 indexed citations

Poll, Stefanie, et al.. (2023). Microglial motility is modulated by neuronal activity and correlates with dendritic spine plasticity in the hippocampus of awake mice. eLife. 12. 32 indexed citations

Nosten‐Bertrand, Marika, Stefanie Poll, Sophie Crux, et al.. (2021). Elevated expression of complement C4 in the mouse prefrontal cortex causes schizophrenia-associated phenotypes. Molecular Psychiatry. 26(7). 3489–3501. 34 indexed citations

Poll, Stefanie, Manuel Mittag, Julia Steffen, et al.. (2020). Memory trace interference impairs recall in a mouse model of Alzheimer’s disease. Nature Neuroscience. 23(8). 952–958. 47 indexed citations

Bansal, V., Ashish Rajput, Raza‐Ur Rahman, et al.. (2019). Tagger—A Swiss army knife for multiomics to dissect cell type–specific mechanisms of gene expression in mice. PLoS Biology. 17(8). e3000374–e3000374. 7 indexed citations

Pfeiffer, Thomas, Stefanie Poll, Stéphane Bancelin, et al.. (2018). Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivo. eLife. 7. 126 indexed citations

Reichenbach, Nicole, Andrea Delekate, Kevin Keppler, et al.. (2018). P2Y1 receptor blockade normalizes network dysfunction and cognition in an Alzheimer’s disease model. The Journal of Experimental Medicine. 215(6). 1649–1663. 88 indexed citations

Mittag, Manuel, Stefanie Poll, Julia Steffen, et al.. (2016). Dysfunction of Somatostatin-Positive Interneurons Associated with Memory Deficits in an Alzheimer’s Disease Model. Neuron. 92(1). 114–125. 147 indexed citations

10.

Poll, Stefanie, et al.. (1994). Crystallization of the EGF receptor ectodomain on US space mission STS-47.. PubMed. 7(3). 242–5. 2 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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