Gerhard Eichhoff

13 papers receiving 1.1k citations

Gerhard Eichhoff's Hit Papers

Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer's Disease 2008 · 868 citations
8680+6+12Years since publication250500750

Peers

Gerhard Eichhoff
Comparison fields: 5 of 77
  • Neurology 306
  • Cellular and Molecular Neuroscience 563
  • Physiology 578
  • Biological Psychiatry 40
  • Cognitive Neuroscience 264
Replace Katherine J. Kopeikina with:
Katherine J. Kopeikina United States
David H. Adamowicz United States
Helen Y. Figueroa United States
Scarlett J. Barker United States
Rimante Minkeviciene Finland
Lidia Blázquez‐Llorca Spain
Carli Lattarulo United States
Brian R. Hoover United States
Tara E. Tracy United States
Andrew Billinton United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Eichhoff

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Eichhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Gerhard Eichhoff, 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 Gerhard Eichhoff Line = papers co-authored together Gerhard Eichhoff links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer's Disease
Hit paper breakdown →
2008868
2 2010111
3 200953
4 200853
5 20206
6 20116
7 20206
8 20193
9 20093
10 20212
11 20212
12 20181
13 20191
14 20191
15 20190

About Gerhard Eichhoff

Gerhard Eichhoff is a scholar working on Cellular and Molecular Neuroscience, Rheumatology, Pathology and Forensic Medicine, Neurology and Physiology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Dermatological and Skeletal Disorders (3 papers), Urticaria and Related Conditions (2 papers), Drug-Induced Adverse Reactions (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Neurology (306 citations), Cellular and Molecular Neuroscience (563 citations), Physiology (578 citations), Biological Psychiatry (40 citations) and Cognitive Neuroscience (264 citations). Gerhard Eichhoff has collaborated with scholars based in New Zealand, Germany and United States. Frequent co-authors include Olga Garaschuk, Marc Aurel Busche, Dorothée Abramowski, Matthias Staufenbiel, Arthur Konnerth, Christian Haass, Helmuth Adelsberger, Karl‐Heinz Wiederhold, Bianca Brawek and Marina Hermes. Their work appears in journals such as Cold Spring Harbor Protocols, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Cellular and Molecular Medicine, Science and European Journal of Nuclear Medicine and Molecular Imaging.

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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