Sventja von Daake

983 citations
12 papers · 668 indexed · h-index 12
Topics
Protein Kinase Regulation and GTPase Signaling (4 papers)Axon Guidance and Neuronal Signaling (3 papers)Receptor Mechanisms and Signaling (3 papers)

In The Last Decade

Sventja von Daake

12 papers receiving 662 citations

Peers

Sventja von Daake
Comparison fields: 5 of 76
  • Molecular Biology 525
  • Cellular and Molecular Neuroscience 128
  • Cell Biology 120
  • Cardiology and Cardiovascular Medicine 58
  • Genetics 51
Replace Ruth Herbst with:
Ruth Herbst Austria
Yasuyuki Irie Japan
Francis W. Farley United States
Séverine M. Sigoillot France
Michael B. McFerrin United States
Daniel M. Williams United States
Andrés Kamaid Uruguay
Mitchell H. Omar United States
Amy K. Weaver United States
Vishwajeeth Pagala United States
Sventja von Daake relative to Ruth Herbst Austria Ruth Herbst's profile →
Citations per field
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Ruth Herbst · 1×
Citations per year

Countries citing papers authored by Sventja von Daake

Since Specialization
Citations

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

Fields of papers citing papers by Sventja von Daake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sventja von Daake. 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 Sventja von Daake. The network helps show where Sventja von Daake may publish in the future.

Co-authorship network of co-authors of Sventja von Daake

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 34
2 11
3 20
4 27
5 37
6 60
7 47
8 44
9 35
10 98
11 90
12 165

About Sventja von Daake

Sventja von Daake is a scholar working on Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 668 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (47 citations), Molecular Biology (525 citations) and Cell Biology (120 citations). Sventja von Daake has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Susan S. Taylor, Davide Comoletti, Choel Kim, Francis Kinderman, Yuliang Ma, Jian Wu, Simon H. J. Brown, Patricia A. Jennings, Nguyen‐Huu Xuong and Glen Spraggon. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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