Katrin Eckermann

1.2k citations
11 papers · 1.0k · h-index 10

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

    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurological disorders and treatments 1
    • Alzheimer's disease research and treatments 7

Katrin Eckermann

11 papers receiving 1.0k citations

Peers

Katrin Eckermann
Comparison fields: 5 of 83
  • Neurology 190
  • Physiology 503
  • Neurology 285
  • Cellular and Molecular Neuroscience 311
  • Cell Biology 108
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Aaron C. Daub United States
Hyun Jin Cho South Korea
Julia van der Hoven Australia
Atsushi Aoyagi Japan
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Citations per field
00.5×1.7×
Aaron C. Daub · 1×
Citations per year

Countries citing papers authored by Katrin Eckermann

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Eckermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008241
2 2014209
3 2015151
4 2007141
5 2016139
6 201343
7 201539
8 200723
9 201515
10 201411
11 20081

About Katrin Eckermann

Katrin Eckermann is a scholar working on Neurology, Physiology, Cellular and Molecular Neuroscience, Cell Biology and Epidemiology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Neurogenetic and Muscular Disorders Research (1 paper), Neurological disorders and treatments (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Neurology (190 citations), Physiology (503 citations), Neurology (285 citations), Cellular and Molecular Neuroscience (311 citations) and Cell Biology (108 citations). Katrin Eckermann has collaborated with scholars based in Germany, Portugal and France. Frequent co-authors include Tiago F. Outeiro, Sandra Tenreiro, Eva‐Maria Mandelkow, Kai Schönig, Gabriele M. Rune, Jacek Biernat, Eckhard Mandelkow�, Maria‐Magdalena Mocanu, Lepu Zhou and Hermann Bujard. Their work appears in journals such as NeuroMolecular Medicine, Cell Death and Differentiation, Acta Neuropathologica Communications, Acta Neuropathologica 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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