Mona Rosenke

440 total citations
8 papers, 218 citations indexed

About

Mona Rosenke is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mona Rosenke has authored 8 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Mona Rosenke's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Functional Brain Connectivity Studies (4 papers). Mona Rosenke is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Functional Brain Connectivity Studies (4 papers). Mona Rosenke collaborates with scholars based in United States, Germany and Netherlands. Mona Rosenke's co-authors include Kalanit Grill‐Spector, Rainer Goebel, Job van den Hurk, Hua Wu, Vaidehi Natu, Mareike Grotheer, Katrin Amunts, Karl Zilles, Michael Barnett and Kevin S. Weiner and has published in prestigious journals such as Nature Communications, NeuroImage and Cerebral Cortex.

In The Last Decade

Mona Rosenke

8 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mona Rosenke United States	5	153	52	28	16	16	8	218
Matthew Erhart United States	6	102 0.7×	117 2.3×	46 1.6×	13 0.8×	6 0.4×	9	201
Daniel Bullock United States	9	175 1.1×	177 3.4×	42 1.5×	10 0.6×	11 0.7×	14	310
Marcel P. Zwiers Netherlands	5	171 1.1×	79 1.5×	15 0.5×	26 1.6×	21 1.3×	5	275
Gajendra J. Katuwal United States	5	152 1.0×	26 0.5×	13 0.5×	20 1.3×	8 0.5×	7	185
Peer Herholz Canada	7	163 1.1×	86 1.7×	17 0.6×	6 0.4×	17 1.1×	15	209
R. Joanne Jao Keehn United States	9	256 1.7×	46 0.9×	18 0.6×	17 1.1×	10 0.6×	17	297
David C. Glahn United States	3	129 0.8×	125 2.4×	41 1.5×	24 1.5×	10 0.6×	7	210
Shaun Warrington United Kingdom	6	136 0.9×	164 3.2×	37 1.3×	6 0.4×	8 0.5×	12	250
Yudan Ren China	9	256 1.7×	105 2.0×	9 0.3×	7 0.4×	11 0.7×	25	288
Joelle Zimmermann Canada	6	261 1.7×	149 2.9×	9 0.3×	17 1.1×	16 1.0×	9	302

Countries citing papers authored by Mona Rosenke

Since Specialization

Citations

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

Fields of papers citing papers by Mona Rosenke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Rosenke

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

All Works

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8 of 8 papers shown

1.

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

2.

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

3.

Rosenke, Mona, et al.. (2020). A Probabilistic Functional Atlas of Human Occipito-Temporal Visual Cortex. Cerebral Cortex. 31(1). 603–619. 53 indexed citations

4.

Rosenke, Mona, Nicolas Davidenko, Kalanit Grill‐Spector, & Kevin S. Weiner. (2020). Combined Neural Tuning in Human Ventral Temporal Cortex Resolves the Perceptual Ambiguity of Morphed 2D Images. Cerebral Cortex. 30(9). 4882–4898. 1 indexed citations

5.

Krause, Florian, Michael Lührs, Judith Eck, et al.. (2017). Real-time fMRI-based self-regulation of brain activation across different visual feedback presentations. Research Publications (Maastricht University). 4(1-2). 87–101. 20 indexed citations

6.

Rosenke, Mona, Kevin S. Weiner, Michael Barnett, et al.. (2017). A cross-validated cytoarchitectonic atlas of the human ventral visual stream. NeuroImage. 170. 257–270. 56 indexed citations

7.

Rosenke, Mona, Kevin S. Weiner, Michael Barnett, et al.. (2017). Data on a cytoarchitectonic brain atlas: effects of brain template and a comparison to a multimodal atlas. Data in Brief. 12. 327–332. 4 indexed citations

8.

Rosenke, Mona, Kevin S. Weiner, Martin A. Frost, et al.. (2016). Macroanatomical alignment improves the intersubject consistency of cytoarchitectonic regions in the human ventral stream. Journal of Vision. 16(12). 179–179. 1 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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