Jan Raethjen

135 total papers · 7.2k total citations
88 papers, 4.8k citations indexed

About

Jan Raethjen is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jan Raethjen has authored 88 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Neurology, 43 papers in Cellular and Molecular Neuroscience and 38 papers in Cognitive Neuroscience. Recurrent topics in Jan Raethjen's work include Neurological disorders and treatments (56 papers), Parkinson's Disease Mechanisms and Treatments (29 papers) and Neuroscience and Neural Engineering (23 papers). Jan Raethjen is often cited by papers focused on Neurological disorders and treatments (56 papers), Parkinson's Disease Mechanisms and Treatments (29 papers) and Neuroscience and Neural Engineering (23 papers). Jan Raethjen collaborates with scholars based in Germany, United States and France. Jan Raethjen's co-authors include Günther Deuschl, Rodger J. Elble, Michael Lindemann, Paul Krack, Helge Hellriegel, Mark Hallett, Nin Bajaj, Peter G. Bain, Elan D. Louis and Kailash P. Bhatia and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Jan Raethjen

85 papers receiving 4.7k citations

Hit Papers

Consensus Statement on th... 2017 2026 2020 2023 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Raethjen 3.6k 2.3k 1.0k 451 434 88 4.8k
Peter G. Bain 6.5k 1.8× 3.7k 1.6× 782 0.8× 305 0.7× 594 1.4× 137 7.7k
Rodger J. Elble 6.0k 1.7× 3.9k 1.7× 774 0.8× 704 1.6× 495 1.1× 119 7.8k
Robert R. Young 2.9k 0.8× 1.3k 0.5× 1.1k 1.0× 1.1k 2.5× 713 1.6× 122 6.1k
Julio Artieda 2.5k 0.7× 2.1k 0.9× 3.3k 3.3× 310 0.7× 687 1.6× 153 6.4k
Johannes D. Speelman 6.5k 1.8× 2.5k 1.1× 1.3k 1.3× 224 0.5× 768 1.8× 105 7.7k
Éric Bardinet 2.7k 0.8× 1.4k 0.6× 990 1.0× 177 0.4× 654 1.5× 80 4.3k
Leslie J. Findley 3.0k 0.8× 1.6k 0.7× 308 0.3× 193 0.4× 303 0.7× 62 3.8k
Bhagwan T. Shahani 1.6k 0.5× 948 0.4× 963 1.0× 857 1.9× 914 2.1× 84 4.1k
Walter Pirker 2.2k 0.6× 1.5k 0.6× 514 0.5× 251 0.6× 343 0.8× 75 3.8k
Jill L. Ostrem 5.9k 1.6× 4.2k 1.8× 1.9k 1.9× 260 0.6× 969 2.2× 144 7.9k

Countries citing papers authored by Jan Raethjen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Raethjen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Raethjen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Raethjen. A scholar is included among the top collaborators of Jan Raethjen 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 Jan Raethjen. Jan Raethjen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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