Stefanie Flunkert

1.0k citations
39 papers · 703 · h-index 14

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Stefanie Flunkert

39 papers receiving 676 citations

Peers

Stefanie Flunkert
Comparison fields: 5 of 72
  • Neurology 122
  • Physiology 346
  • Biological Psychiatry 28
  • Neurology 134
  • Cellular and Molecular Neuroscience 174
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Citations per field
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Citations per year

Countries citing papers authored by Stefanie Flunkert

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Flunkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefanie Flunkert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefanie Flunkert Line = papers co-authored together Stefanie Flunkert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018261
2 202047
3 201746
4 201333
5 201331
6 202326
7 201223
8 202116
9 201216
10 201916
11 202016
12 201414
13 201614
14 201614
15 201813
16 202211
17 202110
18 20139
19 20238
20 20167

About Stefanie Flunkert

Stefanie Flunkert is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Molecular Biology, having authored 39 papers that have together received 703 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Nuclear Receptors and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Neurology (122 citations), Physiology (346 citations), Biological Psychiatry (28 citations), Neurology (134 citations) and Cellular and Molecular Neuroscience (174 citations). Stefanie Flunkert has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Birgit Hutter‐Paier, Joerg Neddens, Tina Loeffler, Vera Niederkofler, Magdalena Temmel, Johannes Attems, Guenther Daum, Bianca Kerschbaumer, Manfred Windisch and Daniel Havas. Their work appears in journals such as PLoS ONE, Frontiers in Neuroscience, Frontiers in Molecular Neuroscience, Alzheimer s & Dementia and Brain Research.

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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