Gregor Kuhlenbäeumer

612 citations
9 papers · 335 · h-index 8

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Cerebrovascular and genetic disorders
    • MicroRNA in disease regulation

Papers in

    • Parkinson's Disease Mechanisms and Treatments 2
    • Neurological disorders and treatments 2
    • Botulinum Toxin and Related Neurological Disorders 1
    • Signaling Pathways in Disease 1

Gregor Kuhlenbäeumer

9 papers receiving 332 citations

Peers

Gregor Kuhlenbäeumer
Comparison fields: 5 of 59
  • Neurology 154
  • Neurology 69
  • Cancer Research 47
  • Immunology and Allergy 15
  • Molecular Biology 155
Replace K. A. Harkness with:
K. A. Harkness United Kingdom
Madhurima Chatterjee Netherlands
Sylvain Perriot Switzerland
Fabrice Chrétien France
Raghavendra Upadhya United States
Deborah Ruddy United Kingdom
Sandra Larouche Canada
Vanessa Milano Canada
Sasha Soldati Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Gregor Kuhlenbäeumer

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Kuhlenbäeumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregor Kuhlenbäeumer, 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 Gregor Kuhlenbäeumer Line = papers co-authored together Gregor Kuhlenbäeumer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020205
2 201347
3 200822
4 201519
5 201014
6 202311
7 19988
8 20207
9 20112

About Gregor Kuhlenbäeumer

Gregor Kuhlenbäeumer is a scholar working on Neurology, Molecular Biology, Oncology, Rheumatology and Surgery, having authored 9 papers that have together received 335 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (2 papers), Neurological disorders and treatments (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Signaling Pathways in Disease (1 paper), Genetic Associations and Epidemiology (1 paper), Moyamoya disease diagnosis and treatment (1 paper), Calpain Protease Function and Regulation (1 paper) and Botulinum Toxin and Related Neurological Disorders (1 paper). The work is most often cited by research in Neurology (154 citations), Neurology (69 citations), Cancer Research (47 citations), Immunology and Allergy (15 citations) and Molecular Biology (155 citations). Gregor Kuhlenbäeumer has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Franziska Hopfner, Jason J. Davis, Hong Wang, George K. Tofaris, Samuel Evetts, Robert Hein, Alessandro Padovani, Cheng Jiang, Yongzhi Huang and John Ryder. Their work appears in journals such as Cerebrovascular Diseases, Neurological Research, Annals of Human Genetics, Movement Disorders and Journal of Neurology.

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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