Sang O Park

1.2k total citations
67 papers, 853 citations indexed

About

Sang O Park is a scholar working on Emergency Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Sang O Park has authored 67 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Emergency Medicine, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Epidemiology. Recurrent topics in Sang O Park's work include Cardiac Arrest and Resuscitation (19 papers), Airway Management and Intubation Techniques (9 papers) and Sepsis Diagnosis and Treatment (8 papers). Sang O Park is often cited by papers focused on Cardiac Arrest and Resuscitation (19 papers), Airway Management and Intubation Techniques (9 papers) and Sepsis Diagnosis and Treatment (8 papers). Sang O Park collaborates with scholars based in South Korea, United States and United Kingdom. Sang O Park's co-authors include Kyeong Ryong Lee, Dae Young Hong, Kwang Je Baek, Dong Hyuk Shin, Jong Won Kim, Young Hwan Lee, Hee Cheol Ahn, Sang Kuk Han, Sin Young Kim and Pil Cho Choi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine.

In The Last Decade

Sang O Park

63 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang O Park South Korea 19 412 179 164 152 134 67 853
Beatriz Perondi Brazil 14 419 1.0× 103 0.6× 181 1.1× 37 0.2× 164 1.2× 26 1.0k
A. Gullo Italy 13 183 0.4× 119 0.7× 186 1.1× 95 0.6× 121 0.9× 45 596
Hichem Ksibi Tunisia 17 239 0.6× 201 1.1× 230 1.4× 134 0.9× 135 1.0× 28 1.0k
A. Lappa Italy 14 294 0.7× 170 0.9× 582 3.5× 202 1.3× 237 1.8× 24 1.2k
Christophe Guitton France 16 205 0.5× 135 0.8× 604 3.7× 532 3.5× 188 1.4× 42 1.1k
Gerardo Aguilar Spain 17 80 0.2× 220 1.2× 231 1.4× 171 1.1× 317 2.4× 64 994
Michelle Hayes United Kingdom 14 93 0.2× 287 1.6× 94 0.6× 40 0.3× 249 1.9× 40 874
Hnin Khine United States 18 164 0.4× 267 1.5× 150 0.9× 99 0.7× 382 2.9× 43 1.1k
Andrea Coppadoro Italy 17 201 0.5× 84 0.5× 607 3.7× 125 0.8× 154 1.1× 40 980
Mohamed Boussarsar Tunisia 13 148 0.4× 131 0.7× 451 2.8× 104 0.7× 102 0.8× 47 806

Countries citing papers authored by Sang O Park

Since Specialization
Citations

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

Fields of papers citing papers by Sang O Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang O Park. 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 Sang O Park. The network helps show where Sang O Park may publish in the future.

Co-authorship network of co-authors of Sang O Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang O Park. A scholar is included among the top collaborators of Sang O Park 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 Sang O Park. Sang O Park 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.
Zammit, Victor A. & Sang O Park. (2024). In Vivo Monitoring of Glycerolipid Metabolism in Animal Nutrition Biomodel-Fed Smart-Farm Eggs. Foods. 13(5). 722–722. 1 indexed citations
2.
Hong, Dae Young, et al.. (2020). Albumin-adjusted ischemia modified albumin as a predictor of mortality in patients with sepsis. Journal of the Korean society of emergency medicine. 31(5). 440–447. 1 indexed citations
3.
4.
Park, Hee Su, Jong Won Kim, Jong Won Kim, et al.. (2019). Urinary neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury in sepsis patients in the emergency department. Clinica Chimica Acta. 495. 552–555. 21 indexed citations
5.
6.
Kim, Jong Won, Kyeong Ryong Lee, Dae Young Hong, et al.. (2018). The clinical usefulness of computed tomography findings as a prognostic factor for patients with acute pyelonephritis in emergency department. Journal of the Korean society of emergency medicine. 29(3). 259–266. 1 indexed citations
7.
Park, Sang O. (2017). A Simulation Study for Evaluating the Efficacy of Live-feedback Device (Amflow) for Delivering Correct Ventilations During Cardiopulmonary Resuscitation. Journal of the Korean society of emergency medicine. 28(2). 159–166. 1 indexed citations
8.
Lee, Sung, Dae Young Hong, Sin Young Kim, et al.. (2017). Efficacy of Red Cell Distribution Width as Prognostic Factor for Sepsis-3 Patients in Emergency Department. Journal of the Korean society of emergency medicine. 28(3). 255–262. 1 indexed citations
9.
Hong, Dae Young, et al.. (2017). Reliability of Korean Triage and Acuity Scale-based Triage System as a Severity Index in Emergency Patients. Journal of the Korean society of emergency medicine. 28(6). 552–556. 7 indexed citations
10.
Kim, Jong Won, et al.. (2016). Comparing the Usefulness of the Initial Predisposition Infection Response Organ Failure Score and the Mortality in Emergency Department Sepsis Score for Predicting the Prognosis of Septic Patients Admitted to the Intensive Care Unit. Journal of the Korean society of emergency medicine. 27(4). 301–312. 1 indexed citations
11.
Kim, Jong Won, et al.. (2016). Validation of the Korean Triage and Acuity Scale Compare to Triage by Emergency Severity Index for Emergency Adult Patient: Preliminary Study in a Tertiary Hospital Emergency Medical Center. Journal of the Korean society of emergency medicine. 27(5). 436–441. 15 indexed citations
12.
Park, Sang O, et al.. (2016). Lipid‐lowering mechanism of egg yolk in normal rats. International Journal of Food Science & Technology. 51(12). 2512–2519. 2 indexed citations
13.
14.
Kim, Sang Chul, Sang O Park, Dae Young Hong, et al.. (2015). Comparison of Injury Patterns and Severity between Younger and Older Rider in the Motorcycle Accident. Journal of the Korean society of emergency medicine. 26(2). 159–164. 1 indexed citations
15.
Park, Jong‐Ho, et al.. (2015). Analysis for Climate Factors in Onset of Spontaneous Subarachnoid Hemorrhage: A Seasonal Variation Study. Journal of the Korean society of emergency medicine. 26(3). 217–224.
16.
Lee, Young Hwan, Hee Cheol Ahn, Hyoung Soo Kim, et al.. (2015). The prognostic value of the grey-to-white matter ratio in cardiac arrest patients treated with extracorporeal membrane oxygenation. Resuscitation. 99. 50–55. 38 indexed citations
17.
Hwangbo, Jong, Sang O Park, & Byung-Sung Park. (2014). Effect of Dietary Fermented Earthworm Cast Additives on Odor Reduction of Poultry House and Egg Production. Korean Journal of Poultry Science. 41(1). 1–5.
18.
Lee, Jeong Hun, et al.. (2013). Clinical Features of Negative Hematuria in Urolithiasis Patients in the Emergency Department. Journal of the Korean society of emergency medicine. 24(5). 533–538. 1 indexed citations
19.
Park, Sang O, Dong Hyuk Shin, Kwang Je Baek, et al.. (2012). A clinical observational study analysing the factors associated with hyperventilation during actual cardiopulmonary resuscitation in the emergency department. Resuscitation. 84(3). 298–303. 23 indexed citations
20.

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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