Yann Vanrobaeys

459 total citations
10 papers, 235 citations indexed

About

Yann Vanrobaeys is a scholar working on Molecular Biology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Yann Vanrobaeys has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Yann Vanrobaeys's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Yann Vanrobaeys is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Yann Vanrobaeys collaborates with scholars based in United States, United Kingdom and Germany. Yann Vanrobaeys's co-authors include Ted Abel, Lisa C. Lyons, Kornelia Smalla, Antje Bettermann, Snehajyoti Chatterjee, Khald Blau, Sven Jechalke, Eva M. Top, Thibault Stalder and Li‐Chun Lin and has published in prestigious journals such as Nature Communications, Genes & Development and Journal of Neurochemistry.

In The Last Decade

Yann Vanrobaeys

10 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yann Vanrobaeys United States 8 94 67 54 51 34 10 235
Anikó Faragó Hungary 7 100 1.1× 15 0.2× 5 0.1× 32 0.6× 17 0.5× 8 178
Traki Benhassine Algeria 10 148 1.6× 38 0.6× 15 0.3× 96 1.9× 2 0.1× 21 414
Gonzalo Ruiz‐Pérez United States 7 43 0.5× 4 0.1× 36 0.7× 41 0.8× 9 0.3× 8 262
Sergio I. Nemirovsky Argentina 11 105 1.1× 23 0.3× 48 0.9× 1 0.0× 9 0.3× 19 290
Begoña Torres Spain 10 233 2.5× 27 0.4× 9 0.2× 5 0.1× 11 0.3× 25 346
B L Chow Canada 6 280 3.0× 10 0.1× 28 0.5× 65 1.3× 19 0.6× 7 378
Markku Päivärinta Finland 10 166 1.8× 28 0.4× 15 0.3× 36 0.7× 3 0.1× 17 367
Saad Hannan United Kingdom 12 274 2.9× 12 0.2× 18 0.3× 14 0.3× 1 0.0× 16 408
Consuelo Olivares-Yáñez Chile 7 124 1.3× 7 0.1× 10 0.2× 2 0.0× 172 5.1× 10 399
M. Szczęsna Poland 10 25 0.3× 10 0.1× 30 0.6× 1 0.0× 196 5.8× 45 390

Countries citing papers authored by Yann Vanrobaeys

Since Specialization
Citations

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

Fields of papers citing papers by Yann Vanrobaeys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yann Vanrobaeys

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

All Works

10 of 10 papers shown
1.
Bahl, Ethan, Snehajyoti Chatterjee, Yann Vanrobaeys, et al.. (2024). Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data. Nature Communications. 15(1). 779–779. 7 indexed citations
2.
Kim, Jaekyoon, et al.. (2024). Dissecting 16p11.2 hemi-deletion to study sex-specific striatal phenotypes of neurodevelopmental disorders. Molecular Psychiatry. 29(5). 1310–1321. 5 indexed citations
3.
Barraud, Olivier, Laëtitia Le Devendec, Emeline Larvor, et al.. (2023). Integrons from Aeromonas isolates collected from fish: A global indicator of antimicrobial resistance and anthropic pollution. Aquaculture. 576. 739768–739768. 6 indexed citations
4.
Lyons, Lisa C., Yann Vanrobaeys, & Ted Abel. (2023). Sleep and memory: The impact of sleep deprivation on transcription, translational control, and protein synthesis in the brain. Journal of Neurochemistry. 166(1). 24–46. 29 indexed citations
5.
Vanrobaeys, Yann, Snehajyoti Chatterjee, Li‐Chun Lin, et al.. (2023). Spatial transcriptomics reveals unique gene expression changes in different brain regions after sleep deprivation. Nature Communications. 14(1). 7095–7095. 26 indexed citations
6.
Vanrobaeys, Yann, Ethan Bahl, Li‐Chun Lin, et al.. (2023). Mapping the spatial transcriptomic signature of the hippocampus during memory consolidation. Nature Communications. 14(1). 6100–6100. 12 indexed citations
7.
Chatterjee, Snehajyoti, Ethan Bahl, Mahesh Shivarama Shetty, et al.. (2022). Endoplasmic reticulum chaperone genes encode effectors of long-term memory. Science Advances. 8(12). eabm6063–eabm6063. 13 indexed citations
8.
Lyons, Lisa C., Snehajyoti Chatterjee, Yann Vanrobaeys, Marie E. Gaine, & Ted Abel. (2020). Translational changes induced by acute sleep deprivation uncovered by TRAP-Seq. Molecular Brain. 13(1). 165–165. 24 indexed citations
9.
Vanrobaeys, Yann, Marc Larochelle, Jude Beaudoin, et al.. (2020). Nutrient-dependent control of RNA polymerase II elongation rate regulates specific gene expression programs by alternative polyadenylation. Genes & Development. 34(13-14). 883–897. 26 indexed citations
10.
Blau, Khald, Antje Bettermann, Sven Jechalke, et al.. (2018). The Transferable Resistome of Produce. mBio. 9(6). 87 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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2026