Yeongtak Song

525 total citations
26 papers, 364 citations indexed

About

Yeongtak Song is a scholar working on Emergency Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yeongtak Song has authored 26 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Emergency Medicine, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Yeongtak Song's work include Cardiac Arrest and Resuscitation (16 papers), Respiratory Support and Mechanisms (11 papers) and Trauma Management and Diagnosis (8 papers). Yeongtak Song is often cited by papers focused on Cardiac Arrest and Resuscitation (16 papers), Respiratory Support and Mechanisms (11 papers) and Trauma Management and Diagnosis (8 papers). Yeongtak Song collaborates with scholars based in South Korea and United States. Yeongtak Song's co-authors include Jaehoon Oh, Youngjoon Chee, Tae Ho Lim, Hyunggoo Kang, Chiwon Ahn, Juncheol Lee, Hyungoo Shin, Youngsuk Cho, Sanghyun Lee and Soon Young Song and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Medicine.

In The Last Decade

Yeongtak Song

25 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeongtak Song South Korea 13 271 110 83 57 42 26 364
Hildigunnur Svavarsdóttir Iceland 5 325 1.2× 60 0.5× 71 0.9× 66 1.2× 49 1.2× 10 370
Konstantinos Stroumpoulis Greece 13 183 0.7× 161 1.5× 83 1.0× 31 0.5× 41 1.0× 30 421
Tonje S. Birkenes Norway 11 412 1.5× 43 0.4× 80 1.0× 98 1.7× 53 1.3× 29 421
Romano Mauri Switzerland 8 209 0.8× 93 0.8× 63 0.8× 28 0.5× 11 0.3× 18 304
Thomas C Blakeman United States 11 251 0.9× 273 2.5× 59 0.7× 44 0.8× 20 0.5× 45 488
Hannes Ecker Germany 9 195 0.7× 36 0.3× 41 0.5× 48 0.8× 33 0.8× 21 252
Michael H. Stroud United States 10 178 0.7× 115 1.0× 107 1.3× 115 2.0× 14 0.3× 25 364
Elizabeth Retzer United States 9 388 1.4× 99 0.9× 194 2.3× 153 2.7× 45 1.1× 18 473
Renee Havey United States 10 172 0.6× 52 0.5× 92 1.1× 85 1.5× 20 0.5× 10 304
Iftikhar Khan United Kingdom 5 428 1.6× 102 0.9× 157 1.9× 78 1.4× 70 1.7× 9 564

Countries citing papers authored by Yeongtak Song

Since Specialization
Citations

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

Fields of papers citing papers by Yeongtak Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeongtak Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yeongtak Song. A scholar is included among the top collaborators of Yeongtak Song 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 Yeongtak Song. Yeongtak Song 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.
Lim, Tae Ho, et al.. (2021). An Atmospheric Plasma Jet Induces Expression of Wound Healing Genes in Progressive Burn Wounds in a Comb Burn Rat Model: A Pilot Study. Journal of Burn Care & Research. 44(3). 685–692. 10 indexed citations
2.
Song, Yeongtak, Jongshill Lee, Jaehoon Oh, et al.. (2021). Development of Smart-Ring-Based Chest Compression Depth Feedback Device for High Quality Chest Compressions: A Proof-of-Concept Study. Biosensors. 11(2). 35–35. 8 indexed citations
3.
Song, Yeongtak, et al.. (2021). Comparison of the strength of various disposable videolaryngoscope blades. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 68(11). 1651–1658. 1 indexed citations
4.
Lim, Tae Ho, et al.. (2019). Wound Healing Effect of Nonthermal Atmospheric Pressure Plasma Jet on a Rat Burn Wound Model: A Preliminary Study. Journal of Burn Care & Research. 40(6). 923–929. 21 indexed citations
5.
Kang, Hyunggoo, Sanghyun Lee, Yeongtak Song, et al.. (2018). Protection afforded by respirators when performing endotracheal intubation using a direct laryngoscope, GlideScope®, and i-gel® device: A randomized trial. PLoS ONE. 13(4). e0195745–e0195745. 2 indexed citations
7.
Lee, Juncheol, Yeongtak Song, Jaehoon Oh, et al.. (2018). Smartwatch feedback device for high-quality chest compressions by a single rescuer during infant cardiac arrest: a randomized, controlled simulation study. European Journal of Emergency Medicine. 26(4). 266–271. 21 indexed citations
9.
Lim, Tae Ho, Sanghyun Lee, Jaehoon Oh, et al.. (2017). Endotracheal Intubation Using a Direct Laryngoscope and the Protective Performances of Respirators: A Randomized Trial. BioMed Research International. 2017. 1–8. 2 indexed citations
10.
Ahn, Chiwon, Juncheol Lee, Jaehoon Oh, et al.. (2017). Effectiveness of feedback with a smartwatch for high-quality chest compressions during adult cardiac arrest: A randomized controlled simulation study. PLoS ONE. 12(4). e0169046–e0169046. 35 indexed citations
11.
Oh, Jaehoon, Tae Ho Lim, Youngsuk Cho, et al.. (2016). Training a Chest Compression of 6–7 cm Depth for High Quality Cardiopulmonary Resuscitation in Hospital Setting: A Randomised Controlled Trial. Yonsei Medical Journal. 57(2). 505–505. 4 indexed citations
12.
Song, Yeongtak, Youngjoon Chee, Jaehoon Oh, Chiwon Ahn, & Tae Ho Lim. (2016). Smartwatches as chest compression feedback devices: A feasibility study. Resuscitation. 103. 20–23. 26 indexed citations
13.
Ahn, Chiwon, Jaehoon Oh, Yeongtak Song, et al.. (2016). Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea. BioMed Research International. 2016. 1–8. 17 indexed citations
14.
Lee, Sanghyun, Jaehoon Oh, Hyunggoo Kang, et al.. (2015). Proper target depth of an accelerometer-based feedback device during CPR performed on a hospital bed: a randomized simulation study. The American Journal of Emergency Medicine. 33(10). 1425–1429. 14 indexed citations
15.
Song, Yeongtak, Jaehoon Oh, & Youngjoon Chee. (2014). A New Chest Compression Depth Feedback Algorithm for High-Quality CPR Based on Smartphone. Telemedicine Journal and e-Health. 21(1). 36–41. 38 indexed citations
16.
Oh, Jaehoon, Hyunggoo Kang, Youngjoon Chee, et al.. (2013). Use of Backboard and Deflation Improve Quality of Chest Compression When Cardiopulmonary Resuscitation Is Performed on a Typical Air Inflated Mattress Configuration. Journal of Korean Medical Science. 28(2). 315–315. 5 indexed citations
17.
Oh, Jaehoon, et al.. (2013). A novel method to decrease mattress compression during CPR using a mattress compression cover and a vacuum pump. Resuscitation. 84(7). 987–991. 15 indexed citations
18.
Song, Yeongtak, Jaehoon Oh, Youngjoon Chee, et al.. (2013). A novel method to position an endotracheal tube at the correct depth using an infrared sensor stylet. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 60(5). 444–449. 7 indexed citations
19.
Song, Yeongtak & Youngjoon Chee. (2011). The development of feedback monitoring device for CPR. PubMed. 2011. 3294–3297. 12 indexed citations
20.
Oh, Jaehoon, et al.. (2011). The use of dual accelerometers improves measurement of chest compression depth. Resuscitation. 83(4). 500–504. 38 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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