Teet Seene

1.1k total citations
54 papers, 766 citations indexed

About

Teet Seene is a scholar working on Molecular Biology, Cell Biology and Rehabilitation. According to data from OpenAlex, Teet Seene has authored 54 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 30 papers in Cell Biology and 18 papers in Rehabilitation. Recurrent topics in Teet Seene's work include Muscle Physiology and Disorders (36 papers), Muscle metabolism and nutrition (29 papers) and Exercise and Physiological Responses (18 papers). Teet Seene is often cited by papers focused on Muscle Physiology and Disorders (36 papers), Muscle metabolism and nutrition (29 papers) and Exercise and Physiological Responses (18 papers). Teet Seene collaborates with scholars based in Estonia, Russia and Finland. Teet Seene's co-authors include Priit Kaasik, Karin Alev, Ando Pehme, A. Viru, Eva‐Maria Riso, Otto Hänninen, Mustafa Atalay, Chandan K. Sen, Ülle Jaakma and Enn Seppet and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Muscle & Nerve.

In The Last Decade

Teet Seene

50 papers receiving 706 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Teet Seene Estonia 15 349 296 274 269 103 54 766
Marcus Moberg Sweden 16 275 0.8× 335 1.1× 156 0.6× 314 1.2× 163 1.6× 42 758
Ulrika Widegren Sweden 17 706 2.0× 276 0.9× 293 1.1× 480 1.8× 93 0.9× 20 1.1k
Shuichi Machida Japan 22 782 2.2× 253 0.9× 246 0.9× 516 1.9× 118 1.1× 92 1.4k
Emily Louis United States 6 333 1.0× 304 1.0× 233 0.9× 367 1.4× 131 1.3× 10 717
M. H. Mayet France 15 309 0.9× 302 1.0× 153 0.6× 446 1.7× 128 1.2× 21 864
Maarit Lehti Finland 20 472 1.4× 243 0.8× 183 0.7× 482 1.8× 198 1.9× 38 1.2k
Masanobu Wada Japan 20 538 1.5× 216 0.7× 343 1.3× 259 1.0× 126 1.2× 69 975
Brian R. Barnes United States 15 448 1.3× 214 0.7× 112 0.4× 334 1.2× 140 1.4× 29 942
Yu Kitaoka Japan 19 559 1.6× 461 1.6× 257 0.9× 635 2.4× 96 0.9× 61 1.1k
Daniel J. Ham Australia 17 508 1.5× 263 0.9× 94 0.3× 450 1.7× 108 1.0× 42 967

Countries citing papers authored by Teet Seene

Since Specialization
Citations

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

Fields of papers citing papers by Teet Seene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teet Seene

This figure shows the co-authorship network connecting the top 25 collaborators of Teet Seene. A scholar is included among the top collaborators of Teet Seene 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 Teet Seene. Teet Seene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alev, Karin, et al.. (2022). Short-time recovery skeletal muscle from dexamethasone-induced atrophy and weakness in old female rats. Clinical Biomechanics. 100. 105808–105808. 4 indexed citations
2.
Alev, Karin, Arved Vain, Ando Pehme, et al.. (2018). Glucocorticoid-Induced Changes in Rat Skeletal Muscle Biomechanical and Viscoelastic Properties: Aspects of Aging. Journal of Manipulative and Physiological Therapeutics. 41(1). 19–24. 14 indexed citations
3.
Seene, Teet, et al.. (2017). Morphological peculiarities of neuromuscular junctions among different fiber types: Effect of exercise. European Journal of Translational Myology. 27(3). 6708–6708. 12 indexed citations
4.
Kaasik, Priit, et al.. (2014). EXERCISE MYOPATHY: CHANGES IN MYOFIBRILS OF FAST-TWITCH MUSCLE FIBRES. Biology of Sport. 31(3). 167–171. 1 indexed citations
5.
Seene, Teet & Priit Kaasik. (2013). Muscle damage and regeneration: Response to exercise training. Health. 5(6). 136–145. 6 indexed citations
6.
Kaasik, Priit, et al.. (2012). Aging and Regenerative Capacity of Skeletal Muscle in Rats. Current Aging Science. 5(2). 126–130. 4 indexed citations
7.
Seene, Teet & Priit Kaasik. (2012). Role of Exercise Therapy in Prevention of Decline in Aging Muscle Function: Glucocorticoid Myopathy and Unloading. Journal of Aging Research. 2012. 1–9. 15 indexed citations
8.
Kaasik, Priit, et al.. (2011). Extracellular Matrix and Myofibrils During Unloading and Reloading of Skeletal Muscle. International Journal of Sports Medicine. 32(4). 247–253. 14 indexed citations
9.
Seene, Teet, Priit Kaasik, & Eva‐Maria Riso. (2011). Review on aging, unloading and reloading: Changes in skeletal muscle quantity and quality. Archives of Gerontology and Geriatrics. 54(2). 374–380. 49 indexed citations
10.
Alev, Karin, et al.. (2010). Myosin heavy chain pattern in the Akhal-Teke horses. animal. 5(5). 658–662. 9 indexed citations
11.
Kaasik, Priit, et al.. (2007). Ageing and dexamethasone associated sarcopenia: Peculiarities of regeneration. The Journal of Steroid Biochemistry and Molecular Biology. 105(1-5). 85–90. 29 indexed citations
12.
Riso, Eva‐Maria, Anne Ahtikoski, Karin Alev, et al.. (2007). Relationship between extracellular matrix, contractile apparatus, muscle mass and strength in case of glucocorticoid myopathy. The Journal of Steroid Biochemistry and Molecular Biology. 108(1-2). 117–120. 11 indexed citations
13.
Eimre, Margus, Karin Alev, Lumme Kadaja, et al.. (2005). Altered mitochondrial apparent affinity for ADP and impaired function of mitochondrial creatine kinase in gluteus medius of patients with hip osteoarthritis. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 290(5). R1271–R1275. 13 indexed citations
14.
Seene, Teet, et al.. (2005). Endurance Training: Volume-Dependent Adaptational Changes in Myosin. International Journal of Sports Medicine. 26(10). 815–821. 10 indexed citations
15.
Seene, Teet, Priit Kaasik, Karin Alev, Ando Pehme, & Eva‐Maria Riso. (2004). Composition and Turnover of Contractile Proteins in Volume-Overtrained Skeletal Muscle. International Journal of Sports Medicine. 25(6). 438–445. 31 indexed citations
16.
Atalay, Mustafa, Teet Seene, Otto Hänninen, & Chandan K. Sen. (1996). Skeletal muscle and heart antioxidant defences in response to sprint training. Acta Physiologica Scandinavica. 158(2). 129–134. 54 indexed citations
17.
Seene, Teet. (1994). Turnover of skeletal muscle contractile proteins in glucocorticoid myopathy. The Journal of Steroid Biochemistry and Molecular Biology. 50(1-2). 1–4. 35 indexed citations
18.
Seene, Teet, et al.. (1991). The Effect of Increased Functional Load on the Activation of Satellite Cells in the Skeletal Muscle of Adult Rats. International Journal of Sports Medicine. 12(5). 501–504. 30 indexed citations
19.
Seene, Teet & Karin Alev. (1991). Effect of Muscular Activity on the Turnover Rate of Actin and Myosin Heavy and Light Chains in Different Types of Skeletal Muscle. International Journal of Sports Medicine. 12(2). 204–207. 6 indexed citations
20.
Seene, Teet, et al.. (1988). Effect of glucocorticoids on contractile apparatus of rat skeletal muscle. Journal of Steroid Biochemistry. 29(3). 313–317. 27 indexed citations

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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