Marc Zuend

1.3k total citations · 1 hit paper
7 papers, 851 citations indexed

About

Marc Zuend is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Marc Zuend has authored 7 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Marc Zuend's work include Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Barrier Structure and Function Studies (1 paper). Marc Zuend is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Barrier Structure and Function Studies (1 paper). Marc Zuend collaborates with scholars based in Switzerland, Chile and France. Marc Zuend's co-authors include Bruno Weber, Jillian L. Stobart, Kim David Ferrari, Matthias T. Wyss, L. Felipe Barros, Philipp Mächler, Maha Elsayed, Matthew Barrett, Felipe Baeza‐Lehnert and Alejandro San Martín and has published in prestigious journals such as Neuron, Cell Metabolism and Cell Reports.

In The Last Decade

Marc Zuend

7 papers receiving 850 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In Vivo Evidence for a Lactate Gradient from Astrocytes to Neurons

2015 424 citations Philipp Mächler, Matthias T. Wyss et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Zuend Switzerland	6	456	322	319	191	142	7	851
Elena Dossi France	14	435 1.0×	305 0.9×	337 1.1×	162 0.8×	150 1.1×	27	932
J. Christopher Octeau United States	9	523 1.1×	474 1.5×	264 0.8×	129 0.7×	137 1.0×	11	882
Michał Ślęzak Poland	13	356 0.8×	223 0.7×	274 0.9×	132 0.7×	81 0.6×	18	840
António Pinto‐Duarte United States	12	383 0.8×	235 0.7×	330 1.0×	108 0.6×	160 1.1×	15	858
Evelyne Ruchti Switzerland	8	400 0.9×	150 0.5×	396 1.2×	174 0.9×	80 0.6×	12	871
Georgia Woods United States	7	437 1.0×	221 0.7×	434 1.4×	308 1.6×	97 0.7×	9	1.0k
Iván Ruminot Chile	17	580 1.3×	286 0.9×	635 2.0×	227 1.2×	71 0.5×	26	1.1k
Denise Becker Germany	15	542 1.2×	528 1.6×	232 0.7×	139 0.7×	193 1.4×	20	1.1k
Eriola Hoxha Italy	17	332 0.7×	148 0.5×	433 1.4×	137 0.7×	125 0.9×	32	822

Countries citing papers authored by Marc Zuend

Since Specialization

Citations

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

Fields of papers citing papers by Marc Zuend

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Zuend

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Zuend. A scholar is included among the top collaborators of Marc Zuend 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 Marc Zuend. Marc Zuend 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.

Hösli, Ladina, et al.. (2022). Direct vascular contact is a hallmark of cerebral astrocytes. Cell Reports. 39(1). 110599–110599. 73 indexed citations

2.

Hösli, Ladina, Noemi Binini, Kim David Ferrari, et al.. (2022). Decoupling astrocytes in adult mice impairs synaptic plasticity and spatial learning. Cell Reports. 38(10). 110484–110484. 60 indexed citations

3.

Rungta, Ravi L., Marc Zuend, Éric Martineau, et al.. (2021). Diversity of neurovascular coupling dynamics along vascular arbors in layer II/III somatosensory cortex. Communications Biology. 4(1). 855–855. 30 indexed citations

4.

Zuend, Marc, Aiman S. Saab, Matthias T. Wyss, et al.. (2020). Arousal-induced cortical activity triggers lactate release from astrocytes. Nature Metabolism. 2(2). 179–191. 84 indexed citations

5.

Stobart, Jillian L., Kim David Ferrari, Matthew Barrett, et al.. (2018). Cortical Circuit Activity Evokes Rapid Astrocyte Calcium Signals on a Similar Timescale to Neurons. Neuron. 98(4). 726–735.e4. 178 indexed citations

6.

Mächler, Philipp, Matthias T. Wyss, Maha Elsayed, et al.. (2015). In Vivo Evidence for a Lactate Gradient from Astrocytes to Neurons. Cell Metabolism. 23(1). 94–102. 424 indexed citations breakdown →

7.

Wyss, Matthias T., et al.. (2015). In vivo Two-Photon Imaging of Energy Metabolism at Single Cell Level using Genetically Encoded Sensors. JT1B.4–JT1B.4. 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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