Marlene Bartos

7.9k total citations · 2 hit papers
61 papers, 5.4k citations indexed

About

Marlene Bartos is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Marlene Bartos has authored 61 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cellular and Molecular Neuroscience, 48 papers in Cognitive Neuroscience and 12 papers in Neurology. Recurrent topics in Marlene Bartos's work include Neuroscience and Neuropharmacology Research (45 papers), Neural dynamics and brain function (35 papers) and Memory and Neural Mechanisms (30 papers). Marlene Bartos is often cited by papers focused on Neuroscience and Neuropharmacology Research (45 papers), Neural dynamics and brain function (35 papers) and Memory and Neural Mechanisms (30 papers). Marlene Bartos collaborates with scholars based in Germany, United Kingdom and United States. Marlene Bartos's co-authors include Imre Vida, Péter Jónás, Thomas Hainmueller, Jonas‐Frederic Sauer, Claudio Elgueta, Michael Frotscher, Jörg R. P. Geiger, Hannah Monyer, M. Strüber and Michael P. Nusbaum and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Marlene Bartos

59 papers receiving 5.3k citations

Hit Papers

Synaptic mechanisms of synchronized gamma oscillations in... 2006 2026 2012 2019 2006 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene Bartos Germany 31 4.0k 3.7k 922 663 447 61 5.4k
Imre Vida Germany 34 4.5k 1.1× 3.8k 1.0× 1.4k 1.5× 652 1.0× 411 0.9× 88 5.9k
Gilad Silberberg Sweden 38 4.7k 1.2× 4.3k 1.1× 1.8k 1.9× 512 0.8× 450 1.0× 83 7.2k
Gábor Tamás Hungary 35 4.8k 1.2× 3.9k 1.0× 1.5k 1.6× 528 0.8× 339 0.8× 67 5.8k
Laura L Colgin United States 29 4.0k 1.0× 4.8k 1.3× 433 0.5× 511 0.8× 308 0.7× 52 6.1k
Darrell A. Henze United States 33 5.3k 1.3× 5.1k 1.4× 835 0.9× 357 0.5× 364 0.8× 54 6.9k
Dominique Debanne France 40 4.6k 1.2× 3.0k 0.8× 1.8k 1.9× 536 0.8× 328 0.7× 89 5.9k
Li I. Zhang United States 40 3.2k 0.8× 4.1k 1.1× 895 1.0× 354 0.5× 293 0.7× 74 5.8k
Alex M. Thomson United Kingdom 46 6.0k 1.5× 4.8k 1.3× 1.7k 1.8× 556 0.8× 338 0.8× 106 7.4k
Alvaro Duque United States 25 2.3k 0.6× 2.4k 0.6× 764 0.8× 307 0.5× 298 0.7× 51 3.9k

Countries citing papers authored by Marlene Bartos

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Bartos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Bartos

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

All Works

20 of 20 papers shown
1.
Leibold, Christian, et al.. (2025). Predictive goal coding by dentate gyrus somatostatin-expressing interneurons in male mice. Nature Communications. 16(1). 5382–5382.
2.
Diester, Ilka, Marlene Bartos, Christian Leibold, et al.. (2024). Internal world models in humans, animals, and AI. Neuron. 112(14). 2265–2268. 2 indexed citations
3.
Huszár, Roman, et al.. (2024). Perpetual step-like restructuring of hippocampal circuit dynamics. Cell Reports. 43(9). 114702–114702. 3 indexed citations
4.
Hainmueller, Thomas, et al.. (2024). Subfield-specific interneuron circuits govern the hippocampal response to novelty in male mice. Nature Communications. 15(1). 714–714. 11 indexed citations
5.
Bartos, Marlene. (2023). DENTATE GYRUS CIRCUITS FOR ENCODING, RETRIEVAL AND DISCRIMINATION OF EPISODIC MEMORIES. IBRO Neuroscience Reports. 15. S25–S25. 1 indexed citations
6.
Hanganu‐Opatz, Ileana L., Thomas Klausberger, Torfi Sigurdsson, et al.. (2023). Resolving the prefrontal mechanisms of adaptive cognitive behaviors: A cross-species perspective. Neuron. 111(7). 1020–1036. 18 indexed citations
7.
Sauer, Jonas‐Frederic, et al.. (2022). Topographically organized representation of space and context in the medial prefrontal cortex. Proceedings of the National Academy of Sciences. 119(6). 20 indexed citations
8.
Ziegler‐Waldkirch, Stephanie, Desirée Loreth, Jonas‐Frederic Sauer, et al.. (2022). Seed-induced Aβ deposition alters neuronal function and impairs olfaction in a mouse model of Alzheimer’s disease. Molecular Psychiatry. 27(10). 4274–4284. 9 indexed citations
10.
Mossad, Omar, Elisa Nent, Sabrina Woltemate, et al.. (2021). Microbiota-dependent increase in δ-valerobetaine alters neuronal function and is responsible for age-related cognitive decline. Nature Aging. 1(12). 1127–1136. 33 indexed citations
11.
Cholvin, Thibault, Thomas Hainmueller, & Marlene Bartos. (2021). The hippocampus converts dynamic entorhinal inputs into stable spatial maps. Neuron. 109(19). 3135–3148.e7. 31 indexed citations
12.
Elgueta, Claudio, Ute Häussler, Marlene Bartos, et al.. (2020). Hippocampal low-frequency stimulation prevents seizure generation in a mouse model of mesial temporal lobe epilepsy. eLife. 9. 40 indexed citations
13.
Hainmueller, Thomas & Marlene Bartos. (2020). Dentate gyrus circuits for encoding, retrieval and discrimination of episodic memories. Nature reviews. Neuroscience. 21(3). 153–168. 286 indexed citations breakdown →
14.
Ziegler‐Waldkirch, Stephanie, Paolo d’Errico, Jonas‐Frederic Sauer, et al.. (2017). Seed‐induced Aβ deposition is modulated by microglia under environmental enrichment in a mouse model of Alzheimer's disease. The EMBO Journal. 37(2). 167–182. 87 indexed citations
15.
Strüber, M., et al.. (2012). Inhibitory Networks of Fast-Spiking Interneurons Generate Slow Population Activities due to Excitatory Fluctuations and Network Multistability. Journal of Neuroscience. 32(29). 9931–9946. 23 indexed citations
16.
Sauer, Jonas‐Frederic, M. Strüber, & Marlene Bartos. (2012). Interneurons Provide Circuit-Specific Depolarization and Hyperpolarization. Journal of Neuroscience. 32(12). 4224–4229. 30 indexed citations
17.
Sauer, Jonas‐Frederic & Marlene Bartos. (2011). Postnatal differentiation of cortical interneuron signalling. European Journal of Neuroscience. 34(10). 1687–1696. 12 indexed citations
18.
Bartos, Marlene, Henrik Alle, & Imre Vida. (2010). Role of microcircuit structure and input integration in hippocampal interneuron recruitment and plasticity. Neuropharmacology. 60(5). 730–739. 36 indexed citations
19.
Sauer, Jonas‐Frederic & Marlene Bartos. (2010). Recruitment of Early Postnatal Parvalbumin-Positive Hippocampal Interneurons by GABAergic Excitation. Journal of Neuroscience. 30(1). 110–115. 32 indexed citations
20.
Hosp, Jonas A., Yuchio Yanagawa, Kunihiko Obata, et al.. (2008). Postnatal Differentiation of Basket Cells from Slow to Fast Signaling Devices. Journal of Neuroscience. 28(48). 12956–12968. 186 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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