Jérôme Wahis

2.1k total citations · 1 hit paper
7 papers, 613 citations indexed

About

Jérôme Wahis is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience. According to data from OpenAlex, Jérôme Wahis has authored 7 papers receiving a total of 613 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 Developmental Neuroscience. Recurrent topics in Jérôme Wahis's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Jérôme Wahis is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Jérôme Wahis collaborates with scholars based in Belgium, Portugal and United Kingdom. Jérôme Wahis's co-authors include Matthew G. Holt, João Filipe Oliveira, João Filipe Viana, Araks Martirosyan, Jordan Koeppen, Thierry Voet, Mykhailo Y. Batiuk, Catherine Marneffe, Chris P. Ponting and Filip de Vin and has published in prestigious journals such as Nature Communications, Current Opinion in Neurobiology and European Journal of Neuroscience.

In The Last Decade

Jérôme Wahis

7 papers receiving 610 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.

Identification of region-specific astrocyte subtypes at single cell resolution

2020 499 citations Mykhailo Y. Batiuk, Araks Martirosyan et al. Nature Communications profile →

Peers

Jérôme Wahis

NEURO

MB

CMN

DN

PHYSI

João Filipe Viana Portugal

Matthew M. Boisvert United States

Mykhailo Y. Batiuk Denmark

Yosuke M. Morizawa Japan

Niklas Meyer Germany

Joselyn S. Soto United States

Stephanie Jamison United States

Flora Vasile France

Zsuzsanna Szepesi Hungary

Isabella Farhy-Tselnicker United States

João Filipe Viana Portugal

Jérôme Wahis

330 ×0.9

NEURO

224 ×0.9

MB

199 ×0.9

CMN

137 ×1.0

DN

90 ×0.9

PHYSI

Citations per year, relative to Jérôme Wahis Jérôme Wahis (= 1×) peers João Filipe Viana

Countries citing papers authored by Jérôme Wahis

Since Specialization

Citations

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

Fields of papers citing papers by Jérôme Wahis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Wahis

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

Wahis, Jérôme, et al.. (2024). The astrocyte α1A ‐adrenoreceptor is a key component of the neuromodulatory system in mouse visual cortex. Glia. 72(11). 1955–1973. 2 indexed citations

2.

Viana, João Filipe, G. Tavares, Vanessa Morais Sardinha, et al.. (2023). Astrocyte structural heterogeneity in the mouse hippocampus. Glia. 71(7). 1667–1682. 24 indexed citations

3.

Wahis, Jérôme & Matthew G. Holt. (2021). Astrocytes, Noradrenaline, α1-Adrenoreceptors, and Neuromodulation: Evidence and Unanswered Questions. Frontiers in Cellular Neuroscience. 15. 645691–645691. 40 indexed citations

4.

Batiuk, Mykhailo Y., Araks Martirosyan, Jérôme Wahis, et al.. (2020). Identification of region-specific astrocyte subtypes at single cell resolution. Nature Communications. 11(1). 1220–1220. 499 indexed citations breakdown →

5.

Wahis, Jérôme, et al.. (2020). Star power: the emerging role of astrocytes as neuronal partners during cortical plasticity. Current Opinion in Neurobiology. 67. 174–182. 14 indexed citations

6.

Wahis, Jérôme, et al.. (2020). Astrocytes shape the plastic response of adult cortical neurons to vision loss. Glia. 68(10). 2102–2118. 17 indexed citations

7.

Goyon, Stéphanie, et al.. (2016). Favouring inhibitory synaptic drive mediated by GABA_Areceptors in the basolateral nucleus of the amygdala efficiently reduces pain symptoms in neuropathic mice. European Journal of Neuroscience. 43(8). 1082–1088. 17 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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