Winnie Wefelmeyer

12 total papers · 470 total citations
7 papers, 286 citations indexed

About

Winnie Wefelmeyer is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Winnie Wefelmeyer has authored 7 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Winnie Wefelmeyer's work include Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Memory and Neural Mechanisms (2 papers). Winnie Wefelmeyer is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Memory and Neural Mechanisms (2 papers). Winnie Wefelmeyer collaborates with scholars based in United Kingdom, Czechia and France. Winnie Wefelmeyer's co-authors include Juan Burrone, Daniel Cattaert, Sarah E. Newey, Alejandro Pan-Vazquez, Colin J. Akerman, Guilherme Neves, Joseph V. Raimondo, Andrei Ilie, Rebecca A. Wright and Maren Engelhardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Winnie Wefelmeyer

7 papers receiving 284 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Winnie Wefelmeyer 222 112 96 38 28 7 286
Xinjun Wang 186 0.8× 98 0.9× 114 1.2× 44 1.2× 40 1.4× 11 310
Peter Chong 169 0.8× 133 1.2× 72 0.8× 48 1.3× 27 1.0× 6 296
Jana Kenney 243 1.1× 113 1.0× 187 1.9× 41 1.1× 25 0.9× 8 317
Yusuke Iino 211 1.0× 111 1.0× 121 1.3× 36 0.9× 22 0.8× 7 309
Tomoko Isosaka 161 0.7× 107 1.0× 90 0.9× 32 0.8× 18 0.6× 10 313
Sophie M. Grutzner 153 0.7× 117 1.0× 143 1.5× 35 0.9× 17 0.6× 6 329
Anna-Kristin Kaufmann 152 0.7× 95 0.8× 117 1.2× 93 2.4× 21 0.8× 6 331
Philippe Morquette 122 0.5× 90 0.8× 83 0.9× 61 1.6× 22 0.8× 8 317
Kartik Ramamoorthi 212 1.0× 112 1.0× 157 1.6× 45 1.2× 26 0.9× 5 330
Ryang Kim 158 0.7× 94 0.8× 78 0.8× 43 1.1× 49 1.8× 9 261

Countries citing papers authored by Winnie Wefelmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Wefelmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winnie Wefelmeyer

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

All Works

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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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2026