Mareike Grotheer

1.1k total citations
24 papers, 619 citations indexed

About

Mareike Grotheer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Mareike Grotheer has authored 24 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Mareike Grotheer's work include Advanced Neuroimaging Techniques and Applications (9 papers), Face Recognition and Perception (8 papers) and Functional Brain Connectivity Studies (6 papers). Mareike Grotheer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (9 papers), Face Recognition and Perception (8 papers) and Functional Brain Connectivity Studies (6 papers). Mareike Grotheer collaborates with scholars based in Germany, United States and Hungary. Mareike Grotheer's co-authors include Gyula Kovács, Kalanit Grill‐Spector, Karl‐Heinz Herrmann, Jason D. Yeatman, Zoltán Vidnyánszky, Géza Gergely Ambrus, Petra Hermann, Brianna Jeska, Vaidehi Natu and Mona Rosenke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Mareike Grotheer

23 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mareike Grotheer Germany 14 475 132 124 114 112 24 619
Brianna Jeska United States 7 325 0.7× 57 0.4× 40 0.3× 80 0.7× 45 0.4× 8 420
Olumide A. Olulade United States 11 465 1.0× 57 0.4× 178 1.4× 62 0.5× 361 3.2× 16 605
Zhichao Xia China 13 378 0.8× 90 0.7× 105 0.8× 51 0.4× 290 2.6× 26 504
Yu Yong Choi South Korea 8 346 0.7× 171 1.3× 24 0.2× 123 1.1× 59 0.5× 22 571
Kate Mayall United Kingdom 11 445 0.9× 133 1.0× 75 0.6× 35 0.3× 307 2.7× 16 583
Stefan Gezeck Germany 7 403 0.8× 71 0.5× 29 0.2× 19 0.2× 104 0.9× 8 504
Marion Grande Germany 15 495 1.0× 71 0.5× 155 1.3× 25 0.2× 407 3.6× 38 630
Maya Yablonski Israel 10 210 0.4× 45 0.3× 18 0.1× 86 0.8× 86 0.8× 19 384
Brian C. Donohue United States 5 510 1.1× 57 0.4× 185 1.5× 87 0.8× 411 3.7× 7 664
Helgard Kremin France 14 467 1.0× 92 0.7× 24 0.2× 52 0.5× 270 2.4× 30 617

Countries citing papers authored by Mareike Grotheer

Since Specialization
Citations

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

Fields of papers citing papers by Mareike Grotheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mareike Grotheer

This figure shows the co-authorship network connecting the top 25 collaborators of Mareike Grotheer. A scholar is included among the top collaborators of Mareike Grotheer 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 Mareike Grotheer. Mareike Grotheer 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.
Kruper, John, Adam Richie-Halford, Mareike Grotheer, et al.. (2025). A software ecosystem for brain tractometry processing, analysis, and insight. PLoS Computational Biology. 21(8). e1013323–e1013323. 1 indexed citations
2.
Dubois, Jessica, Mareike Grotheer, Joseph Yuan‐Mou Yang, et al.. (2025). Small brains but big challenges: white matter tractography in early life samples. Brain Structure and Function. 230(4). 58–58.
3.
Yan, Xiaoqian, et al.. (2025). White matter connections of human ventral temporal cortex are organized by cytoarchitecture, eccentricity and category-selectivity from birth. Nature Human Behaviour. 9(5). 955–970. 3 indexed citations
4.
Grotheer, Mareike, et al.. (2024). A practical guide for combining functional regions of interest and white matter bundles. Frontiers in Neuroscience. 18. 1385847–1385847. 2 indexed citations
5.
Jorgensen, Julia, et al.. (2024). Both mOTS-words and pOTS-words prefer emoji stimuli over text stimuli during a lexical judgment task. Cerebral Cortex. 34(8). 1 indexed citations
6.
Grotheer, Mareike, D. M. Bloom, John Kruper, et al.. (2023). Human white matter myelinates faster in utero than ex utero. Proceedings of the National Academy of Sciences. 120(33). e2303491120–e2303491120. 13 indexed citations
7.
Grotheer, Mareike, et al.. (2022). White matter connections of high-level visual areas predict cytoarchitecture better than category-selectivity in childhood, but not adulthood. Cerebral Cortex. 33(6). 2485–2506. 10 indexed citations
8.
Grotheer, Mareike, Mona Rosenke, Hua Wu, et al.. (2022). White matter myelination during early infancy is linked to spatial gradients and myelin content at birth. Nature Communications. 13(1). 997–997. 52 indexed citations
9.
Natu, Vaidehi, Mona Rosenke, Hua Wu, et al.. (2021). Infants’ cortex undergoes microstructural growth coupled with myelination during development. Communications Biology. 4(1). 1191–1191. 31 indexed citations
10.
Grotheer, Mareike, et al.. (2021). Establishing the functional relevancy of white matter connections in the visual system and beyond. Brain Structure and Function. 227(4). 1347–1356. 13 indexed citations
11.
Grotheer, Mareike, Zonglei Zhen, Garikoitz Lerma‐Usabiaga, & Kalanit Grill‐Spector. (2019). Separate lanes for adding and reading in the white matter highways of the human brain. Nature Communications. 10(1). 3675–3675. 28 indexed citations
12.
Grotheer, Mareike, Brianna Jeska, & Kalanit Grill‐Spector. (2018). A preference for mathematical processing outweighs the selectivity for Arabic numbers in the inferior temporal gyrus. NeuroImage. 175. 188–200. 41 indexed citations
13.
Grotheer, Mareike, Karl‐Heinz Herrmann, & Gyula Kovács. (2016). Neuroimaging Evidence of a Bilateral Representation for Visually Presented Numbers. Journal of Neuroscience. 36(1). 88–97. 60 indexed citations
14.
Hermann, Petra, et al.. (2016). The contribution of surprise to the prediction based modulation of fMRI responses. Neuropsychologia. 84. 105–112. 25 indexed citations
15.
Grotheer, Mareike & Gyula Kovács. (2016). Can predictive coding explain repetition suppression?. Cortex. 80. 113–124. 71 indexed citations
16.
Grotheer, Mareike, Géza Gergely Ambrus, & Gyula Kovács. (2016). Causal evidence of the involvement of the number form area in the visual detection of numbers and letters. NeuroImage. 132. 314–319. 48 indexed citations
17.
Hermann, Petra, Mareike Grotheer, Gyula Kovács, & Zoltán Vidnyánszky. (2016). The relationship between repetition suppression and face perception. Brain Imaging and Behavior. 11(4). 1018–1028. 20 indexed citations
18.
Grotheer, Mareike, Petra Hermann, Zoltán Vidnyánszky, & Gyula Kovács. (2014). Repetition probability effects for inverted faces. NeuroImage. 102. 416–423. 27 indexed citations
19.
Grotheer, Mareike & Gyula Kovács. (2014). The relationship between stimulus repetitions and fulfilled expectations. Neuropsychologia. 67. 175–182. 43 indexed citations
20.
Grotheer, Mareike & Gyula Kovács. (2014). Repetition Probability Effects Depend on Prior Experiences. Journal of Neuroscience. 34(19). 6640–6646. 68 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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