Daniel Ecker

2.5k citations
17 papers · 1.3k · h-index 15

Impact in

    • Genetic Neurodegenerative Diseases
    • Neuroscience and Neuropharmacology Research
  • Neurology top 2%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research

Papers in

Daniel Ecker

17 papers receiving 1.3k citations

Peers

Daniel Ecker
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 855
  • Neurology 529
  • Molecular Biology 576
  • Neurology 60
  • Cognitive Neuroscience 142
Replace Marianne J. U. Novak with:
Marianne J. U. Novak United Kingdom
Simon J.A. van den Bogaard Netherlands
Hiroshi Kurisaki Japan
Zachary C. Baquet United States
Eve M. Dumas Netherlands
Joji Decolongon United States
Erin E. Furr-Stimming United States
Philipp Capetian Germany
Neal G. Ranen United States
Jakub M. Antczak Poland
Daniel Ecker relative to Marianne J. U. Novak United Kingdom Marianne J. U. Novak's profile →
Citations per field
00.5×1.5×
Marianne J. U. Novak · 1×
Citations per year

Countries citing papers authored by Daniel Ecker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012284
2 2017238
3 2004148
4 200898
5 200384
6 200875
7 201170
8 200966
9 200460
10 200841
11 201638
12 200035
13 200332
14 201823
15 200722
16 20188
17 20114

About Daniel Ecker

Daniel Ecker is a scholar working on Cellular and Molecular Neuroscience, Neurology, Pharmacology, Molecular Biology and Physiology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Multiple Sclerosis Research Studies (1 paper), Cannabis and Cannabinoid Research (1 paper) and Neonatal and Maternal Infections (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (855 citations), Neurology (529 citations), Molecular Biology (576 citations), Neurology (60 citations) and Cognitive Neuroscience (142 citations). Daniel Ecker has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Georg Bernhard Landwehrmeyer, Jan Kassubek, Freimut D. Juengling, Nenad A. Vasić, Carlos Schönfeldt‐Lecuona, Robert Christian Wolf, Albert Christian Ludolph, Hayrettin Tumani, Sigurd D. Süßmuth and Michael Sabolek. Their work appears in journals such as Neurology, Movement Disorders, Neuroreport, BMC Neurology and Basic & Clinical Pharmacology & Toxicology.

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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