Eve Unt

32 papers receiving 436 citations

Peers

Eve Unt
Comparison fields: 5 of 78
  • Rehabilitation 72
  • Orthopedics and Sports Medicine 62
  • Physiology 136
  • Complementary and alternative medicine 36
  • Cardiology and Cardiovascular Medicine 74
Replace Naoko Shono with:
Naoko Shono Japan
Esma Sürmen-Gür Türkiye
Ayobami Dare South Africa
Matthew A. Tucker United States
Filiz Gündüz Türkiye
Maria José Laires Portugal
Joëlle Leonie Flueck Switzerland
Håvard Hamarsland Norway
Kelly Y. Chun United States
Mohammad Faramarzi Iran
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Citations per year

Countries citing papers authored by Eve Unt

Since Specialization
Citations

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

Fields of papers citing papers by Eve Unt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eve Unt, 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 Eve Unt Line = papers co-authored together Eve Unt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201145
2 201032
3 201130
4 201229
5 200728
6 201624
7 201424
8 201224
9 200922
10
The Association Analysis between ACE and ACTN3 Genes Polymorphisms and Endurance Capacity in Young Cross-Country Skiers: Longitudinal Study.
201620
11 201216
12 201915
13
Red blood cell and whole blood glutathione redox status in endurance-trained men following a ski marathon.
200814
14 200812
15 201312
16 202211
17 201810
18 202110
19 20179
20 20228

About Eve Unt

Eve Unt is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Rehabilitation, Complementary and alternative medicine and Cell Biology, having authored 33 papers that have together received 452 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (10 papers), Exercise and Physiological Responses (8 papers), Cardiovascular and exercise physiology (7 papers), Muscle metabolism and nutrition (7 papers), Sports Performance and Training (6 papers), Cardiovascular Health and Disease Prevention (5 papers), Heart Rate Variability and Autonomic Control (4 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Rehabilitation (72 citations), Orthopedics and Sports Medicine (62 citations), Physiology (136 citations), Complementary and alternative medicine (36 citations) and Cardiology and Cardiovascular Medicine (74 citations). Eve Unt has collaborated with scholars based in Estonia, United Kingdom and Latvia. Frequent co-authors include Mihkel Zilmer, Jaak Kals, Jaan Eha, Vahur Ööpik, Priit Kampus, Kersti Zilmer, Saima Timpmann, Maksim Zagura, Martin Serg and J. Lieberg. Their work appears in journals such as Applied Physiology Nutrition and Metabolism, Nutrients, European Journal of Applied Physiology, Experimental Biology and Medicine and The Journal of Strength and Conditioning Research.

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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