Martin Gube

10 total papers · 635 total citations
9 papers, 422 citations indexed

About

Martin Gube is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Complementary and alternative medicine. According to data from OpenAlex, Martin Gube has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Orthopedics and Sports Medicine, 4 papers in Biomedical Engineering and 2 papers in Complementary and alternative medicine. Recurrent topics in Martin Gube's work include Sports Performance and Training (5 papers), Muscle activation and electromyography studies (4 papers) and Sports injuries and prevention (3 papers). Martin Gube is often cited by papers focused on Sports Performance and Training (5 papers), Muscle activation and electromyography studies (4 papers) and Sports injuries and prevention (3 papers). Martin Gube collaborates with scholars based in Germany, France and Canada. Martin Gube's co-authors include Olaf Prieske, Martin Behrens, Sven Bruhn, Matthias Weippert, Florian Husmann, David G. Behm, Urs Granacher, Thomas Muehlbauer, Anett Mau‐Moeller and Lutz Schega and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Sports Medicine and The Journals of Gerontology Series A.

In The Last Decade

Martin Gube

9 papers receiving 406 citations

Hit Papers

Fatigue and Human Perform... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Martin Gube 259 129 58 47 45 9 422
Francesco Figura 194 0.7× 157 1.2× 41 0.7× 89 1.9× 51 1.1× 11 467
Darla R. Smith 198 0.8× 119 0.9× 67 1.2× 46 1.0× 34 0.8× 21 425
Barbara A. Hart 188 0.7× 159 1.2× 47 0.8× 39 0.8× 35 0.8× 18 493
Vegard Moe Iversen 240 0.9× 176 1.4× 21 0.4× 62 1.3× 34 0.8× 18 418
Jeffrey W. Bell 205 0.8× 93 0.7× 60 1.0× 23 0.5× 58 1.3× 16 384
S. Kellis 323 1.2× 158 1.2× 35 0.6× 36 0.8× 74 1.6× 14 414
Jakob Kümmel 154 0.6× 79 0.6× 94 1.6× 51 1.1× 21 0.5× 11 369
Camila D. Lima 342 1.3× 126 1.0× 43 0.7× 36 0.8× 81 1.8× 16 405
Alison D. Egan 352 1.4× 148 1.1× 15 0.3× 50 1.1× 38 0.8× 11 430
Jennifer Anderson 68 0.3× 97 0.8× 59 1.0× 46 1.0× 34 0.8× 16 432

Countries citing papers authored by Martin Gube

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gube

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