Sarah Genon

4.4k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Sarah Genon is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sarah Genon has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sarah Genon's work include Functional Brain Connectivity Studies (41 papers), Neural dynamics and brain function (14 papers) and Memory and Neural Mechanisms (14 papers). Sarah Genon is often cited by papers focused on Functional Brain Connectivity Studies (41 papers), Neural dynamics and brain function (14 papers) and Memory and Neural Mechanisms (14 papers). Sarah Genon collaborates with scholars based in Germany, Belgium and United States. Sarah Genon's co-authors include Simon B. Eickhoff, B.T. Thomas Yeo, Felix Hoffstaedter, Shahrzad Kharabian Masouleh, Katrin Amunts, Andrew Reid, Robert Langner, Éric Salmon, Fabienne Collette and Christine Bastin and has published in prestigious journals such as Nature Communications, Nature reviews. Neuroscience and NeuroImage.

In The Last Decade

Sarah Genon

51 papers receiving 1.8k citations

Hit Papers

Imaging-based parcellations of the human brain 2018 2026 2020 2023 2018 100 200 300

Peers

Sarah Genon
Mathias Goncalves United States
Jessey Wright United States
Ross Blair United States
Crystal Cooper United States
Kirstie Whitaker United Kingdom
Elizabeth DuPré United States
Sarah Genon
Citations per year, relative to Sarah Genon Sarah Genon (= 1×) peers Asier Erramuzpe

Countries citing papers authored by Sarah Genon

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Genon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Genon

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Genon. A scholar is included among the top collaborators of Sarah Genon 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 Sarah Genon. Sarah Genon 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.
Jiang, Lin, Sarah Genon, Jiayu Ye, et al.. (2025). Gene transcription, neurotransmitter, and neurocognition signatures of brain structural-functional coupling variability. Nature Communications. 16(1). 7623–7623.
2.
Li, Fali, Sarah Genon, Simon B. Eickhoff, et al.. (2025). Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder. Science Advances. 11(46). eadz0389–eadz0389.
3.
Mihalik, Ágoston, Felix Hoffstaedter, Janaı́na Mourão-Miranda, et al.. (2025). Cardiometabolic health and physical robustness map onto distinct patterns of brain structure and neurotransmitter systems. PLoS Biology. 23(11). e3003498–e3003498.
4.
Pezzetta, Rachele, Fabio Masina, Sara Lago, et al.. (2024). Comprehensive investigation of predictive processing: A cross‐ and within‐cognitive domains fMRI meta‐analytic approach. Human Brain Mapping. 45(12). e26817–e26817. 2 indexed citations
5.
Jiang, Lin, Simon B. Eickhoff, Sarah Genon, et al.. (2024). Multimodal Covariance Network Reflects Individual Cognitive Flexibility. International Journal of Neural Systems. 34(4). 2450018–2450018. 6 indexed citations
6.
Picó‐Pérez, Maria, et al.. (2024). Researchers' sex/gender identity influences how sex/gender question is investigated in neuroscience: an example from an OHBM meeting. Brain Structure and Function. 229(3). 741–758.
7.
Jiang, Lin, Sarah Genon, Qingqing Yang, et al.. (2023). Spatial–rhythmic network as a biomarker of familial risk for psychotic bipolar disorder. Nature Mental Health. 1(11). 887–899. 15 indexed citations
8.
Wu, Jianxiao, Jingwei Li, Simon B. Eickhoff, Dustin Scheinost, & Sarah Genon. (2023). The challenges and prospects of brain-based prediction of behaviour. Nature Human Behaviour. 7(8). 1255–1264. 24 indexed citations
9.
Wu, Jianxiao, Jingwei Li, Simon B. Eickhoff, et al.. (2022). Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns. NeuroImage. 262. 119569–119569. 8 indexed citations
10.
Li, Jingwei, Danilo Bzdok, Angela Tam, et al.. (2022). Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity. Science Advances. 8(11). eabj1812–eabj1812. 68 indexed citations
11.
Masouleh, Shahrzad Kharabian, et al.. (2022). Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults. Scientific Reports. 12(1). 13286–13286. 5 indexed citations
12.
Scarpazza, Cristina, Livio Finos, Sarah Genon, et al.. (2021). Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging. Brain Imaging and Behavior. 15(5). 2681–2692. 11 indexed citations
13.
Wu, Jianxiao, Simon B. Eickhoff, Felix Hoffstaedter, et al.. (2021). A Connectivity-Based Psychometric Prediction Framework for Brain–Behavior Relationship Studies. Cerebral Cortex. 31(8). 3732–3751. 14 indexed citations
14.
Camilleri, Julia A., Simon B. Eickhoff, Susanne Weis, et al.. (2021). A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System. Scientific Reports. 11(1). 16896–16896. 5 indexed citations
15.
Li, Jingwei, et al.. (2020). Not one model fits all: unfairness in RSFC-based prediction of behavioral data in African American. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Masouleh, Shahrzad Kharabian, et al.. (2020). Characterizing the gradients of structural covariance in the human hippocampus. NeuroImage. 218. 116972–116972. 24 indexed citations
17.
Quoilin, Caroline, Laurence Dricot, Sarah Genon, Philippe de Timary, & Julie Duqué. (2020). Neural bases of inhibitory control: Combining transcranial magnetic stimulation and magnetic resonance imaging in alcohol-use disorder patients. NeuroImage. 224. 117435–117435. 12 indexed citations
18.
Genon, Sarah, Tobias Wensing, Andrew Reid, et al.. (2017). Searching for behavior relating to grey matter volume in a-priori defined right dorsal premotor regions: Lessons learned. NeuroImage. 157. 144–156. 15 indexed citations
19.
Varikuti, Deepthi P., Felix Hoffstaedter, Sarah Genon, et al.. (2016). Resting-state test–retest reliability of a priori defined canonical networks over different preprocessing steps. Brain Structure and Function. 222(3). 1447–1468. 29 indexed citations
20.
Genon, Sarah, Veronika Müller, Edna C. Cieslik, et al.. (2014). Examining the right dorsal premotor mosaic: a connectivity-based parcellation approach. Open Repository and Bibliography (University of Liège).

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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