Arved Vain

483 total citations
23 papers, 353 citations indexed

About

Arved Vain is a scholar working on Pathology and Forensic Medicine, Physiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Arved Vain has authored 23 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 5 papers in Physiology and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Arved Vain's work include Systemic Sclerosis and Related Diseases (4 papers), Muscle activation and electromyography studies (3 papers) and Obstructive Sleep Apnea Research (3 papers). Arved Vain is often cited by papers focused on Systemic Sclerosis and Related Diseases (4 papers), Muscle activation and electromyography studies (3 papers) and Obstructive Sleep Apnea Research (3 papers). Arved Vain collaborates with scholars based in Estonia, United States and Finland. Arved Vain's co-authors include Jukka S. Jurvelin, Esko Vanninen, Veiko Vasar, Rami K. Korhonen, Marlit Veldi, Mart Kull, M. Eglíte, Erkki Vuori, Tuuliki Hion and Heidi Chen and has published in prestigious journals such as Blood, Journal of Investigative Dermatology and Clinical Biomechanics.

In The Last Decade

Arved Vain

21 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arved Vain Estonia 12 103 92 77 76 46 23 353
Federico Roggio Italy 13 86 0.8× 68 0.7× 60 0.8× 66 0.9× 108 2.3× 44 449
Ulysses Fernandes Ervilha Brazil 10 197 1.9× 155 1.7× 136 1.8× 53 0.7× 58 1.3× 39 421
Mao‐Hsiung Huang Taiwan 11 47 0.5× 69 0.8× 64 0.8× 26 0.3× 98 2.1× 21 338
Kathrin Freyler Germany 14 128 1.2× 197 2.1× 58 0.8× 61 0.8× 37 0.8× 31 464
Rafael Inácio Barbosa Brazil 13 46 0.4× 49 0.5× 97 1.3× 95 1.3× 166 3.6× 72 543
Dongwon Suh South Korea 9 216 2.1× 180 2.0× 49 0.6× 160 2.1× 119 2.6× 14 631
Scott Cuthbert United States 7 74 0.7× 80 0.9× 92 1.2× 18 0.2× 128 2.8× 15 408
Suk‐Chan Hahm South Korea 11 39 0.4× 31 0.3× 68 0.9× 87 1.1× 60 1.3× 38 364
Daniel Hellmann Germany 13 72 0.7× 31 0.3× 33 0.4× 87 1.1× 34 0.7× 43 463
Bianca Callegari Brazil 12 85 0.8× 60 0.7× 89 1.2× 12 0.2× 45 1.0× 57 364

Countries citing papers authored by Arved Vain

Since Specialization
Citations

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

Fields of papers citing papers by Arved Vain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arved Vain

This figure shows the co-authorship network connecting the top 25 collaborators of Arved Vain. A scholar is included among the top collaborators of Arved Vain 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 Arved Vain. Arved Vain 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.
Chen, Fuyao, Arved Vain, Kathy Zhang, et al.. (2023). Interrater reproducibility of the Myoton and durometer devices to quantify sclerotic chronic graft-versus-host disease. Archives of Dermatological Research. 315(9). 2545–2554. 7 indexed citations
2.
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
3.
Chen, Fuyao, et al.. (2021). Optimal Biomechanical Parameters for Measuring Sclerotic Chronic Graft-Versus-Host Disease. CORROSION. 1(3). 100037–100037. 8 indexed citations
4.
Chen, Fuyao, et al.. (2020). 867 Direct mechanical measurements of skin to quantify evolution of sclerotic disease. Journal of Investigative Dermatology. 140(7). S113–S113.
5.
Chen, Fuyao, Laura Wang, Arved Vain, et al.. (2019). Interobserver Reproducibility of the Myoton and Durometer Devices to Measure Skin Stiffness and Hardness in Chronic Cutaneous Graft-Versus-Host Disease Patients. Blood. 134(Supplement_1). 4515–4515. 5 indexed citations
6.
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
7.
8.
Chen, Fuyao, et al.. (2018). Reproducibility of the durometer and myoton devices for skin stiffness measurement in healthy subjects. Skin Research and Technology. 25(3). 289–293. 37 indexed citations
9.
Ereline, Jaan, et al.. (2017). Markers for monitoring adaptive peculiarity of the musculoskeletal system in rhythmic gymnasts with non-specific low back pain. Gazzetta Medica Italiana Archivio per le Scienze Mediche. 176(5). 3 indexed citations
10.
Alev, Karin, Helena Gapeyeva, Arved Vain, et al.. (2013). Glucocorticoid-induced alterations in titin, nebulin, myosin heavy chain isoform content and viscoelastic properties of rat skeletal muscle. Advances in Biological Chemistry. 3(1). 70–75. 5 indexed citations
11.
Veldi, Marlit, Arved Vain, Veiko Vasar, Mart Kull, & Markku Partinen. (2008). Restless legs syndrome is related to difference in tibial muscle tone in the evening, late at night, and morning. Sleep and Biological Rhythms. 6(4). 242–248. 1 indexed citations
12.
Vain, Arved, et al.. (2006). Assessment of skeletal muscle fatigue of road maintenance workers based on heart rate monitoring and myotonometry. Journal of Occupational Medicine and Toxicology. 1(1). 20–20. 53 indexed citations
13.
Korhonen, Rami K., et al.. (2005). Can mechanical myotonometry or electromyography be used for the prediction of intramuscular pressure?. Physiological Measurement. 26(6). 951–963. 60 indexed citations
14.
Veldi, Marlit, Veiko Vasar, Arved Vain, & Mart Kull. (2004). Obstructive sleep apnea and ageing. Pathophysiology. 11(3). 159–165. 16 indexed citations
15.
Veldi, Marlit, Veiko Vasar, Tuuliki Hion, Arved Vain, & Mart Kull. (2002). Myotonometry demonstrates changes of lingual musculature in obstructive sleep apnoea. European Archives of Oto-Rhino-Laryngology. 259(2). 108–112. 21 indexed citations
16.
Veldi, Marlit, Veiko Vasar, Tuuliki Hion, Mart Kull, & Arved Vain. (2001). Ageing, soft‐palate tone and sleep‐related breathing disorders. Clinical Physiology. 21(3). 358–364. 18 indexed citations
17.
Hein, Vello & Arved Vain. (1998). Joint mobility and the oscillation characteristics of muscle. Scandinavian Journal of Medicine and Science in Sports. 8(1). 7–13. 14 indexed citations
18.
Vain, Arved, et al.. (1996). Estimation of the breaking of rigor mortis by myotonometry. Forensic Science International. 79(2). 155–161. 10 indexed citations
19.
Vain, Arved. (1995). Estimation of the Functional State of Skeletal Muscle. 22 indexed citations
20.
Vain, Arved, et al.. (1992). Grading rigor mortis with myotonometry — A new possibility to estimate time of death. Forensic Science International. 56(2). 147–150. 21 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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