Florian Bayersdorfer

427 citations
7 papers · 311 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Florian Bayersdorfer

7 papers receiving 307 citations

Peers

Florian Bayersdorfer
Comparison fields: 5 of 60
  • Aging 37
  • Neurology 141
  • Cellular and Molecular Neuroscience 145
  • Neurology 21
  • Cell Biology 37
Replace Dickon M. Humphrey with:
Dickon M. Humphrey United Kingdom
Abdul-Raouf Issa France
Lori M. Buhlman United States
Michael A. Lizzio United States
Tianxia Li United States
Tziona Ben‐Gedalya Israel
Xuezhi Ouyang Singapore
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Florian Bayersdorfer relative to Dickon M. Humphrey United Kingdom Dickon M. Humphrey's profile →
Citations per field
00.5×1.5×
Dickon M. Humphrey · 1×
Citations per year

Countries citing papers authored by Florian Bayersdorfer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Bayersdorfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Florian Bayersdorfer, 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 Florian Bayersdorfer Line = papers co-authored together Florian Bayersdorfer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 200874
2 200963
3 201460
4 201053
5 200950
6 20129
7 20222

About Florian Bayersdorfer

Florian Bayersdorfer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Aging, Neurology and Pharmacology, having authored 7 papers that have together received 311 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), TGF-β signaling in diseases (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Developmental Biology and Gene Regulation (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Alzheimer's disease research and treatments (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Aging (37 citations), Neurology (141 citations), Cellular and Molecular Neuroscience (145 citations), Neurology (21 citations) and Cell Biology (37 citations). Florian Bayersdorfer has collaborated with scholars based in Germany and India. Frequent co-authors include Stephan Schneuwly, J Botella, Aaron Voigt, Juan A. Navarro, Li Zhang, Sarat Chandra Yenisetti, Susanne Fischer, Stephanie Arndt, Anja‐Katrin Bosserhoff and Matthias Schramm. Their work appears in journals such as PLoS ONE, Neurobiology of Disease, NeuroMolecular Medicine, Free Radical Biology and Medicine and Journal of Neurochemistry.

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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