Eva Schäffer

1.1k citations
25 papers · 547 · h-index 11

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Botulinum Toxin and Related Neurological Disorders
    • Nuclear Receptors and Signaling
    • Genetic Neurodegenerative Diseases

Papers in

Eva Schäffer

23 papers receiving 527 citations

Peers

Eva Schäffer
Comparison fields: 5 of 83
  • Neurology 306
  • Neurology 44
  • Cellular and Molecular Neuroscience 82
  • Cognitive Neuroscience 49
  • Physical Therapy, Sports Therapy and Rehabilitation 10
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Citations per field
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Samuel Yong‐Ern Ng · 1×
Citations per year

Countries citing papers authored by Eva Schäffer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schäffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018212
2 201796
3 201937
4 196826
5 201723
6 202122
7 197814
8 198314
9 201913
10 201712
11 201611
12 200410
13 201810
14 20218
15 20208
16 20187
17 20207
18 20186
19 20236
20 20042

About Eva Schäffer

Eva Schäffer is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Virology, having authored 25 papers that have together received 547 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological disorders and treatments (4 papers), Neurological diseases and metabolism (2 papers), Nuclear Receptors and Signaling (2 papers), RNA regulation and disease (2 papers), Cancer Research and Treatments (1 paper), Rabies epidemiology and control (1 paper) and Traumatic Ocular and Foreign Body Injuries (1 paper). The work is most often cited by research in Neurology (306 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (82 citations), Cognitive Neuroscience (49 citations) and Physical Therapy, Sports Therapy and Rehabilitation (10 citations). Eva Schäffer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniela Berg, Inga Liepelt-Scarfone, Elke Kalbe, Kathrin Brockmann, Bruno H. Schiefer, Christopher G. Goetz, Glenda Margaret Halliday, Simon J.G. Lewis, Piu Chan and Ian O. Bledsoe. Their work appears in journals such as Movement Disorders, Ultraschall in der Medizin - European Journal of Ultrasound, Journal of the Neurological Sciences, Genes and Neurology Neuroimmunology & Neuroinflammation.

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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