Martin Mooses

27 papers receiving 557 citations

Peers

Martin Mooses
Comparison fields: 5 of 67
  • Orthopedics and Sports Medicine 216
  • Cell Biology 186
  • Rehabilitation 56
  • Complementary and alternative medicine 62
  • Physiology 143
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Rocío Cupeiro Spain
Sarah M. Woolford Australia
Joanna Orysiak Poland
G. Schwaberger Austria
Claire E. Badenhorst New Zealand
Suzanne Broadbent Australia
Steven Scott Plisk United States
Darrell L. Bonetti Australia
Jonas Saugy Switzerland
Francisco J. Calderón Spain
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Citations per year

Countries citing papers authored by Martin Mooses

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mooses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Mooses, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Mooses Line = papers co-authored together Martin Mooses links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201884
3 201460
4 201640
5 201737
6 201636
7 201429
8 201826
9 201719
10 201617
11 201816
12 201514
13
Anthropometric and physiological determinants of running performance in middle- and long-distance runners
201314
14 201810
15 201710
16 202110
17 20139
18 20188
19 20217
20 20196

About Martin Mooses

Martin Mooses is a scholar working on Orthopedics and Sports Medicine, Cell Biology, Physiology, Rehabilitation and Complementary and alternative medicine, having authored 29 papers that have together received 577 indexed citations. Recurring topics across this work include Sports Performance and Training (10 papers), Muscle metabolism and nutrition (9 papers), Cardiovascular and exercise physiology (6 papers), Exercise and Physiological Responses (6 papers), Vitamin D Research Studies (4 papers), Erythropoietin and Anemia Treatment (3 papers), Genetics and Physical Performance (3 papers) and Thermoregulation and physiological responses (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (216 citations), Cell Biology (186 citations), Rehabilitation (56 citations), Complementary and alternative medicine (62 citations) and Physiology (143 citations). Martin Mooses has collaborated with scholars based in Estonia, United Kingdom and Ethiopia. Frequent co-authors include Louise M. Burke, Kerli Mooses, Asker E. Jeukendrup, Andrew M. Jones, Jérôme Durussel, Anthony C. Hackney, Yannis Pitsiladis, Priit Kaasik, Jarek Mäestu and Adam S. Tenforde. Their work appears in journals such as Nutrients, Medicine & Science in Sports & Exercise, European Journal of Applied Physiology, International Journal of Sport Nutrition and Exercise Metabolism and International Journal of Sports Physiology and Performance.

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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