Morgane Roth

1.2k total citations
9 papers, 583 citations indexed

About

Morgane Roth is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Morgane Roth has authored 9 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Morgane Roth's work include Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Morgane Roth is often cited by papers focused on Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Morgane Roth collaborates with scholars based in Switzerland, United States and Germany. Morgane Roth's co-authors include Sonja B. Hofer, Fabia Imhof, Dylan R. Muir, Andreas Keller, Massimo Scanziani, Francisco J. Martini, Johannes C Dahmen, Björn M. Kampa, Fritjof Helmchen and Alessandro Ingrosso and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Morgane Roth

9 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Morgane Roth Switzerland	7	518	385	79	45	34	9	583
Steven Gluf United States	3	501 1.0×	293 0.8×	41 0.5×	42 0.9×	25 0.7×	3	588
Yulia Bereshpolova United States	16	721 1.4×	424 1.1×	127 1.6×	39 0.9×	64 1.9×	22	789
Fabia Imhof Switzerland	4	386 0.7×	295 0.8×	80 1.0×	24 0.5×	24 0.7×	4	478
Michael Krumin United Kingdom	9	445 0.9×	316 0.8×	95 1.2×	43 1.0×	30 0.9×	10	545
Adam Ranson United Kingdom	10	443 0.9×	342 0.9×	127 1.6×	51 1.1×	26 0.8×	12	574
Dimitri Yatsenko United States	6	605 1.2×	363 0.9×	64 0.8×	78 1.7×	46 1.4×	12	736
Ivana Oršolić United Kingdom	6	351 0.7×	240 0.6×	45 0.6×	41 0.9×	18 0.5×	6	422
Peter Zatka-Haas United Kingdom	6	562 1.1×	285 0.7×	40 0.5×	59 1.3×	32 0.9×	10	650
Julien Fournier France	10	435 0.8×	309 0.8×	51 0.6×	51 1.1×	38 1.1×	11	498
Thomas T. G. Hahn Germany	6	799 1.5×	664 1.7×	39 0.5×	36 0.8×	55 1.6×	9	878

Countries citing papers authored by Morgane Roth

Since Specialization

Citations

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

Fields of papers citing papers by Morgane Roth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morgane Roth

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

All Works

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9 of 9 papers shown

1.

Santo, Serena Di, Mario Dipoppa, Andreas Keller, et al.. (2024). Contextual modulation emerges by integrating feedforward and feedback processing in mouse visual cortex. Cell Reports. 44(1). 115088–115088. 2 indexed citations

2.

Blot, Antonin, et al.. (2021). Visual intracortical and transthalamic pathways carry distinct information to cortical areas. Neuron. 109(12). 1996–2008.e6. 55 indexed citations

3.

Keller, Andreas, Morgane Roth, & Massimo Scanziani. (2020). Feedback generates a second receptive field in neurons of the visual cortex. Nature. 582(7813). 545–549. 92 indexed citations

4.

Keller, Andreas, Mario Dipoppa, Morgane Roth, et al.. (2020). A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex. Neuron. 108(6). 1181–1193.e8. 76 indexed citations

5.

Muir, Dylan R., et al.. (2017). Specific excitatory connectivity for feature integration in mouse primary visual cortex. PLoS Computational Biology. 13(12). e1005888–e1005888. 6 indexed citations

6.

Roth, Morgane, Johannes C Dahmen, Dylan R. Muir, et al.. (2015). Thalamic nuclei convey diverse contextual information to layer 1 of visual cortex. Nature Neuroscience. 19(2). 299–307. 246 indexed citations

7.

Muir, Dylan R., Morgane Roth, Fritjof Helmchen, & Björn M. Kampa. (2015). Model-based analysis of pattern motion processing in mouse primary visual cortex. Frontiers in Neural Circuits. 9. 38–38. 17 indexed citations

8.

Costa, Nuno Maçarico da, et al.. (2014). Pyramidal Cells Make Specific Connections onto Smooth (GABAergic) Neurons in Mouse Visual Cortex. PLoS Biology. 12(8). e1001932–e1001932. 18 indexed citations

9.

Roth, Morgane, Fritjof Helmchen, & Björn M. Kampa. (2012). Distinct Functional Properties of Primary and Posteromedial Visual Area of Mouse Neocortex. Journal of Neuroscience. 32(28). 9716–9726. 71 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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