Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Myelin and iron concentration in the human brain: A quantitative study of MRI contrast
2014457 citationsCarsten Stüber, Markus Morawski et al.NeuroImageprofile →
Citations per year, relative to Miriam Wähnert Miriam Wähnert (= 1×)
peers
Nirav Barapatre
Countries citing papers authored by Miriam Wähnert
Since
Specialization
Citations
This map shows the geographic impact of Miriam Wähnert'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 Miriam Wähnert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Wähnert more than expected).
This network shows the impact of papers produced by Miriam Wähnert. 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 Miriam Wähnert. The network helps show where Miriam Wähnert may publish in the future.
Co-authorship network of co-authors of Miriam Wähnert
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Wähnert.
A scholar is included among the top collaborators of Miriam Wähnert 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 Miriam Wähnert. Miriam Wähnert 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.
Stüber, Carsten, Markus Morawski, Andreas Schäfer, et al.. (2014). Myelin and iron concentration in the human brain: A quantitative study of MRI contrast. NeuroImage. 93. 95–106.457 indexed citations breakdown →
Tardif, Christine, Miriam Wähnert, Juliane Dinse, et al.. (2013). High-resolution quantitative T1 maps of the human stria of Gennari at 7 Tesla. MPG.PuRe (Max Planck Society).2 indexed citations
4.
Bazin, Pierre‐Louis, Andreas Schäfer, Juliane Dinse, et al.. (2013). Fine details of cortical and sub-cortical anatomy revealed in-vivo by ultra-high resolution quantitative T1 mapping. MPG.PuRe (Max Planck Society).1 indexed citations
5.
Wähnert, Miriam, Juliane Dinse, Christine Tardif, et al.. (2013). How much resolution is needed for in-vivo analysis of cortical myeloarchitecture?. MPG.PuRe (Max Planck Society).2 indexed citations
6.
Dinse, Juliane, Christine Tardif, Miriam Wähnert, et al.. (2013). Revealing human cortical microstructure with ultra-high resolution in-vivo 7T MRI and anatomically-motivated computational modeling. MPG.PuRe (Max Planck Society).1 indexed citations
7.
Wähnert, Miriam, Marcel Weiß, Markus Streicher, et al.. (2012). Do cortical layers conform to the Laplace equation. MPG.PuRe (Max Planck Society).4 indexed citations
8.
Leuze, Christoph, Pierre‐Louis Bazin, Alfred Anwander, et al.. (2011). Cortical profiles of diffusion weighted imaging (DWI) data differ between cortical areas. MPG.PuRe (Max Planck Society). 320–320.1 indexed citations
9.
Wähnert, Miriam, Marcel Weiß, Stefan Geyer, & Robert Turner. (2010). Defining and Measuring Cortical Thickness: Histology and MRI. MPG.PuRe (Max Planck Society).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.