Carsten Eggers

4.6k total citations · 2 hit papers
124 papers, 2.9k citations indexed

About

Carsten Eggers is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Carsten Eggers has authored 124 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Neurology, 32 papers in Cognitive Neuroscience and 18 papers in Psychiatry and Mental health. Recurrent topics in Carsten Eggers's work include Parkinson's Disease Mechanisms and Treatments (78 papers), Neurological disorders and treatments (63 papers) and Transcranial Magnetic Stimulation Studies (12 papers). Carsten Eggers is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (78 papers), Neurological disorders and treatments (63 papers) and Transcranial Magnetic Stimulation Studies (12 papers). Carsten Eggers collaborates with scholars based in Germany, United States and Canada. Carsten Eggers's co-authors include Lars Timmermann, Gereon R. Fink, Elke Kalbe, Franziska Maier, Alexander Drzezga, Thilo van Eimeren, Masoud Tahmasian, Matthias Schmidt, Deniz Kahraman and Nico J. Diederich and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Carsten Eggers

118 papers receiving 2.9k citations

Hit Papers

Physical exercise for people with Parkinson’s disease: a ... 2023 2026 2024 2025 2023 2024 25 50 75 100

Peers

Carsten Eggers
Comparison fields: 5 of 129
  • Neurology 2.0k
  • Cognitive Neuroscience 809
  • Cellular and Molecular Neuroscience 529
  • Psychiatry and Mental health 412
  • Neurology 352
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Citations per field, relative to Carsten Eggers
Carsten Eggers · 1×
Citations per year, relative to Carsten Eggers
Carsten Eggers · 1×

Countries citing papers authored by Carsten Eggers

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Eggers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Eggers

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Eggers. A scholar is included among the top collaborators of Carsten Eggers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carsten Eggers. Carsten Eggers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 3
5 4
6 3
7 2
8
Physical exercise for people with Parkinson’s disease: a systematic review and network meta-analysis breakdown →
32
9 1
10 8
11 9
12 11
13 17
14 20
15 9
16 16
17 18
18 5
19 22
20
123I-FP-CIT-SPECT zur Darstellung des Dopaminstatus – Vergleich der visuellen Beurteilung des dopaminergen Degenerationsmusters und der quantitiativen Auswertung mit 2D-manueller und 3D-automatisierter Methode
5

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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