Ché Fornusek

67 total papers · 1.0k total citations
53 papers, 781 citations indexed

About

Ché Fornusek is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine and Psychiatry and Mental health. According to data from OpenAlex, Ché Fornusek has authored 53 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 24 papers in Pathology and Forensic Medicine and 16 papers in Psychiatry and Mental health. Recurrent topics in Ché Fornusek's work include Muscle activation and electromyography studies (36 papers), Spinal Cord Injury Research (19 papers) and Cerebral Palsy and Movement Disorders (14 papers) Ché Fornusek is often cited by papers focused on Muscle activation and electromyography studies (36 papers), Spinal Cord Injury Research (19 papers) and Cerebral Palsy and Movement Disorders (14 papers) Ché Fornusek collaborates with scholars based in Australia, United States and Germany Ché Fornusek's co-authors include Glen M. Davis, Nur Azah Hamzaid, J Szecsi, Andreas Straube, Michael Russold, Peter J. Sinclair, Daniel Hackett, Maria Fiatarone Singh, James Middleton and Joshua Burns and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Journal of Biomechanics.

In The Last Decade

Ché Fornusek

48 papers receiving 755 citations

Author Peers

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

Author Last Decade Papers Cites
Ché Fornusek 459 326 240 202 147 53 781
Thomas Mathews 228 0.5× 417 1.3× 118 0.5× 218 1.1× 69 0.5× 28 792
Edward T. Mahoney 297 0.6× 409 1.3× 190 0.8× 125 0.6× 77 0.5× 27 828
Christopher P. Elder 320 0.7× 306 0.9× 141 0.6× 160 0.8× 55 0.4× 19 748
Catherine Kinnaird 331 0.7× 185 0.6× 436 1.8× 282 1.4× 41 0.3× 26 904
Karin H. L. Gerrits 309 0.7× 153 0.5× 429 1.8× 255 1.3× 32 0.2× 37 906
Charles F. Kunkel 271 0.6× 339 1.0× 222 0.9× 311 1.5× 38 0.3× 22 732
Prithvi K. Shah 188 0.4× 495 1.5× 177 0.7× 218 1.1× 107 0.7× 29 902
Lynsey D. Duffell 356 0.8× 228 0.7× 116 0.5× 99 0.5× 38 0.3× 39 778
Matthias Krenn 271 0.6× 374 1.1× 160 0.7× 81 0.4× 82 0.6× 31 779
Li‐Wei Chou 360 0.8× 73 0.2× 141 0.6× 88 0.4× 127 0.9× 42 662

Countries citing papers authored by Ché Fornusek

Since Specialization
Citations

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

Fields of papers citing papers by Ché Fornusek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ché Fornusek

This figure shows the co-authorship network connecting the top 25 collaborators of Ché Fornusek. A scholar is included among the top collaborators of Ché Fornusek 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 Ché Fornusek. Ché Fornusek 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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