Stefan Hägele-Link

29 total papers · 494 total citations
19 papers, 273 citations indexed

About

Stefan Hägele-Link is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefan Hägele-Link has authored 19 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 5 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefan Hägele-Link's work include Neurological disorders and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Stefan Hägele-Link is often cited by papers focused on Neurological disorders and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Stefan Hägele-Link collaborates with scholars based in Switzerland, Germany and United Kingdom. Stefan Hägele-Link's co-authors include Georg Kägi, Sebastian R. Schreglmann, Florian Brugger, Stephan Bohlhalter, Christian R. Baumann, Daniel Waldvogel, Marian Galovic, Fabian Büchele, Beat Werner and Eugenio Abela and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Clinical Neurophysiology.

In The Last Decade

Stefan Hägele-Link

17 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Hägele-Link 185 75 71 43 31 19 273
T. Yamada 128 0.7× 114 1.5× 43 0.6× 53 1.2× 45 1.5× 10 306
Hans Axelson 91 0.5× 85 1.1× 62 0.9× 24 0.6× 26 0.8× 25 312
Francesco Raudino 133 0.7× 53 0.7× 50 0.7× 32 0.7× 22 0.7× 27 280
Himanshu Tyagi 109 0.6× 67 0.9× 27 0.4× 24 0.6× 42 1.4× 22 251
Krzysztof Słotwiński 95 0.5× 62 0.8× 29 0.4× 32 0.7× 15 0.5× 32 309
Faidon Liakos 137 0.7× 81 1.1× 59 0.8× 133 3.1× 70 2.3× 18 329
Miriam Sklerov 127 0.7× 89 1.2× 40 0.6× 31 0.7× 11 0.4× 11 267
Sarah K. Bourne 100 0.5× 69 0.9× 67 0.9× 34 0.8× 6 0.2× 10 298
Rymantė Gleiznienė 99 0.5× 39 0.5× 27 0.4× 57 1.3× 50 1.6× 37 280
Joshua Pepper 221 1.2× 26 0.3× 97 1.4× 14 0.3× 12 0.4× 16 309

Countries citing papers authored by Stefan Hägele-Link

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Hägele-Link

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Hägele-Link. 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 Stefan Hägele-Link. The network helps show where Stefan Hägele-Link may publish in the future.

Co-authorship network of co-authors of Stefan Hägele-Link

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Hägele-Link. A scholar is included among the top collaborators of Stefan Hägele-Link 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 Stefan Hägele-Link. Stefan Hägele-Link 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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