Beatrice Stubendorff

2.0k citations
20 papers · 249 indexed · h-index 11
Topics
Amyotrophic Lateral Sclerosis Research (17 papers)Neurogenetic and Muscular Disorders Research (7 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)

In The Last Decade

Beatrice Stubendorff

20 papers receiving 249 citations

Peers

Beatrice Stubendorff
Comparison fields: 5 of 58
  • Neurology 150
  • Genetics 79
  • Molecular Biology 74
  • Physiology 37
  • Neurology 30
Replace Diana Wiesner with:
Diana Wiesner Germany
Nadine Thau Germany
Klaus Jan Rath Germany
Florian olde Heuvel Germany
Qirui Jiang China
J. Garibi Spain
Orli Thau‐Zuchman United Kingdom
Alfonsa Claudia Taiello Italy
Stefano Zoccolella Italy
Gabriel S. Rocha Brazil
Beatrice Stubendorff relative to Diana Wiesner Germany Diana Wiesner's profile →
Citations per field
00.5×1.5×2.3×
Diana Wiesner · 1×
Citations per year

Countries citing papers authored by Beatrice Stubendorff

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Stubendorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Stubendorff

This figure shows the co-authorship network connecting the top 25 collaborators of Beatrice Stubendorff. A scholar is included among the top collaborators of Beatrice Stubendorff 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 Beatrice Stubendorff. Beatrice Stubendorff 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
#WorkIndexed citations
1 2
2 5
3 16
4 20
5 1
6 5
7 9
8 23
9 20
10 10
11 1
12 14
13 19
14 1
15 4
16 26
17 3
18 29
19 30
20 11

About Beatrice Stubendorff

Beatrice Stubendorff is a scholar working on Neurology, Genetics and Physiology, having authored 20 papers that have together received 249 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (17 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (150 citations), Genetics (79 citations) and Neurology (30 citations). Beatrice Stubendorff has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Julian Großkreutz, Otto W. Witte, Tino Prell, Nayana Gaur, Robert Steinbach, A. Gunkel, Annekathrin Rödiger, Silke Keiner, Thomas Ringer and Jingyu Liu. Their work appears in journals such as Scientific Reports, Neuroscience and Journal of Neurology Neurosurgery & Psychiatry.

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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