Susan Mérillat

2.7k total citations
43 papers, 1.7k citations indexed

About

Susan Mérillat is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Susan Mérillat has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 19 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Psychiatry and Mental health. Recurrent topics in Susan Mérillat's work include Functional Brain Connectivity Studies (24 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and Dementia and Cognitive Impairment Research (11 papers). Susan Mérillat is often cited by papers focused on Functional Brain Connectivity Studies (24 papers), Advanced Neuroimaging Techniques and Applications (19 papers) and Dementia and Cognitive Impairment Research (11 papers). Susan Mérillat collaborates with scholars based in Switzerland, United States and Saudi Arabia. Susan Mérillat's co-authors include Lutz Jäncke, Franziskus Liem, Sarah Hirsiger, Ladina Bezzola, Jürgen Hänggi, Vincent Koppelmans, Jessica Oschwald, Rachael D. Seidler, Christian Gaser and Mike Martin and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Susan Mérillat

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Mérillat Switzerland 24 1.0k 495 441 220 206 43 1.7k
Natalia Egorova Australia 26 998 1.0× 313 0.6× 391 0.9× 313 1.4× 259 1.3× 63 1.9k
Andreas Engvig Norway 16 1.2k 1.2× 874 1.8× 477 1.1× 143 0.7× 243 1.2× 26 2.0k
Cheryl L. Dahle United States 11 1.6k 1.5× 553 1.1× 645 1.5× 328 1.5× 305 1.5× 16 2.6k
Marco Taubert Germany 22 1.2k 1.1× 478 1.0× 231 0.5× 568 2.6× 133 0.6× 50 1.9k
Simon Finnigan Australia 23 1.6k 1.6× 173 0.3× 327 0.7× 210 1.0× 234 1.1× 45 2.3k
X. De Boissezon France 22 1.5k 1.4× 433 0.9× 323 0.7× 308 1.4× 160 0.8× 70 2.5k
Aaron D. Boes United States 28 1.3k 1.3× 497 1.0× 392 0.9× 470 2.1× 250 1.2× 87 2.3k
Cheol E. Han South Korea 20 910 0.9× 326 0.7× 302 0.7× 135 0.6× 105 0.5× 50 1.5k
Inge Leunissen Belgium 25 1.3k 1.2× 530 1.1× 286 0.6× 366 1.7× 153 0.7× 37 2.1k
Roza M. Umarova Germany 19 1.8k 1.7× 615 1.2× 259 0.6× 190 0.9× 314 1.5× 49 2.3k

Countries citing papers authored by Susan Mérillat

Since Specialization
Citations

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

Fields of papers citing papers by Susan Mérillat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Mérillat

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Mérillat. A scholar is included among the top collaborators of Susan Mérillat 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 Susan Mérillat. Susan Mérillat 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
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Jäncke, Lutz, et al.. (2022). Longitudinal functional connectivity patterns of the default mode network in healthy older adults. NeuroImage. 259. 119414–119414. 11 indexed citations
4.
Maercker, And re as, et al.. (2022). A longitudinal resting-state functional connectivity analysis on trauma exposure and post-traumatic stress symptoms in older individuals. NeuroImage Clinical. 35. 103052–103052. 1 indexed citations
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Mikos, Ania, et al.. (2021). Object-Location Memory Training in Older Adults Leads to Greater Deactivation of the Dorsal Default Mode Network. Frontiers in Human Neuroscience. 15. 623766–623766. 4 indexed citations
7.
Jäncke, Lutz, et al.. (2020). Are language skills related to structural features in Broca's and Wernicke's area?. European Journal of Neuroscience. 53(4). 1124–1135. 10 indexed citations
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Liem, Franziskus, et al.. (2020). Functional dedifferentiation of associative resting state networks in older adults – A longitudinal study. NeuroImage. 214. 116680–116680. 72 indexed citations
9.
Jäncke, Lutz, et al.. (2019). Weak correlations between body height and several brain metrics in healthy elderly subjects. European Journal of Neuroscience. 50(10). 3578–3589. 4 indexed citations
10.
Hirsiger, Sarah, Vincent Koppelmans, Susan Mérillat, et al.. (2017). Executive Functions in Healthy Older Adults Are Differentially Related to Macro- and Microstructural White Matter Characteristics of the Cerebral Lobes. Frontiers in Aging Neuroscience. 9. 373–373. 29 indexed citations
11.
Martin, Mike, Jacqueline Zöllig, Christina Röcke, et al.. (2016). Multi-domain training enhances attentional control.. Psychology and Aging. 31(4). 390–408. 32 indexed citations
12.
Müller, Angela, Susan Mérillat, & Lutz Jäncke. (2016). Small Changes, But Huge Impact? The Right Anterior Insula's Loss of Connection Strength during the Transition of Old to Very Old Age. Frontiers in Aging Neuroscience. 8. 86–86. 16 indexed citations
13.
Koppelmans, Vincent, Yoo Young Hoogendam, Sarah Hirsiger, et al.. (2016). Regional cerebellar volumetric correlates of manual motor and cognitive function. Brain Structure and Function. 222(4). 1929–1944. 43 indexed citations
14.
Zöllig, Jacqueline, Anne Eschen, Susan Mérillat, et al.. (2015). Multi-domain training in healthy old age: Hotel Plastisse as an iPad-based serious game to systematically compare multi-domain and single-domain training. Frontiers in Aging Neuroscience. 7. 137–137. 28 indexed citations
15.
Müller, Angela, Susan Mérillat, & Lutz Jäncke. (2015). Older but still fluent? Insights from the intrinsically active baseline configuration of the aging brain using a data driven graph-theoretical approach. NeuroImage. 127. 346–362. 18 indexed citations
16.
Hänggi, Jürgen, et al.. (2015). Structural Brain Correlates Associated with Professional Handball Playing. PLoS ONE. 10(4). e0124222–e0124222. 36 indexed citations
17.
Liem, Franziskus, Susan Mérillat, Ladina Bezzola, et al.. (2014). Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly. NeuroImage. 108. 95–109. 78 indexed citations
18.
Bezzola, Ladina, Susan Mérillat, & Lutz Jäncke. (2012). The effect of leisure activity golf practice on motor imagery: an fMRI study in middle adulthood. Frontiers in Human Neuroscience. 6. 67–67. 30 indexed citations
19.
Koenig, Alexander, Lukas Zimmerli, Susan Mérillat, et al.. (2011). Virtual reality for enhancement of robot-assisted gait training in children with central gait disorders. Journal of Rehabilitation Medicine. 43(6). 493–499. 70 indexed citations
20.
Zöllig, Jacqueline, Susan Mérillat, Anne Eschen, et al.. (2011). Plasticity and Imaging Research in Healthy Aging: Core Ideas and Profile of the International Normal Aging and Plasticity Imaging Center (INAPIC). Gerontology. 57(2). 190–192. 35 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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