Dae Young Hong

1.1k total citations
50 papers, 699 citations indexed

About

Dae Young Hong is a scholar working on Epidemiology, Emergency Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dae Young Hong has authored 50 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Emergency Medicine and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dae Young Hong's work include Cardiac Arrest and Resuscitation (11 papers), Sepsis Diagnosis and Treatment (11 papers) and Airway Management and Intubation Techniques (6 papers). Dae Young Hong is often cited by papers focused on Cardiac Arrest and Resuscitation (11 papers), Sepsis Diagnosis and Treatment (11 papers) and Airway Management and Intubation Techniques (6 papers). Dae Young Hong collaborates with scholars based in South Korea, United States and Japan. Dae Young Hong's co-authors include Kyeong Ryong Lee, Sang O Park, Kwang Je Baek, Jong Won Kim, Sin Young Kim, Young Mok Yang, Hyun Min Jung, Young Hwan Lee, Dong Hyuk Shin and Hak‐Kyo Lee and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Medicine.

In The Last Decade

Dae Young Hong

47 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Young Hong South Korea 16 223 139 133 115 111 50 699
Jin Hee Jeong South Korea 15 225 1.0× 47 0.3× 94 0.7× 108 0.9× 142 1.3× 61 747
Weihua Lü China 16 72 0.3× 75 0.5× 273 2.1× 250 2.2× 97 0.9× 49 1.0k
Gu Hyun Kang South Korea 17 163 0.7× 21 0.2× 99 0.7× 241 2.1× 222 2.0× 70 931
So Yeon Lim South Korea 17 112 0.5× 40 0.3× 247 1.9× 333 2.9× 165 1.5× 43 877
J. Ward Donovan United States 15 428 1.9× 40 0.3× 92 0.7× 41 0.4× 49 0.4× 29 823
Majid Mokhtari Iran 16 38 0.2× 38 0.3× 203 1.5× 114 1.0× 93 0.8× 65 806
Nicolas Nesseler France 17 167 0.7× 21 0.2× 199 1.5× 308 2.7× 208 1.9× 47 976
Manfred Wargenau Germany 13 49 0.2× 32 0.2× 72 0.5× 55 0.5× 144 1.3× 34 669
Matthew C. Exline United States 16 82 0.4× 31 0.2× 184 1.4× 321 2.8× 203 1.8× 40 1.2k

Countries citing papers authored by Dae Young Hong

Since Specialization
Citations

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

Fields of papers citing papers by Dae Young Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Young Hong. 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 Dae Young Hong. The network helps show where Dae Young Hong may publish in the future.

Co-authorship network of co-authors of Dae Young Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Young Hong. A scholar is included among the top collaborators of Dae Young Hong 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 Dae Young Hong. Dae Young Hong 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.
Park, Dougho, et al.. (2022). Behavioral and Disease-Related Characteristics of Patients with Acute Stroke during the Coronavirus Disease Pandemic. Healthcare. 10(4). 604–604. 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.
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
4.
Hong, Dae Young, et al.. (2018). Red blood cell distribution width is an independent predictor of mortality in patients with aneurysmal subarachnoid hemorrhage. Clinical Neurology and Neurosurgery. 172. 82–86. 11 indexed citations
5.
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
6.
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
7.
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
8.
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
9.
Kim, Su Jin, Sung Phil Chung, Hyo‐Wook Gil, et al.. (2016). The Poisoning Information Database Covers a Large Proportion of Real Poisoning Cases in Korea. Journal of Korean Medical Science. 31(7). 1037–1037. 7 indexed citations
10.
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
11.
12.
Kim, Jong Won, Jeong Hun Lee, Kyeong Ryong Lee, et al.. (2016). Improvement in Trainees’ Attitude and Resuscitation Quality With Repeated Cardiopulmonary Resuscitation Training. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 11(4). 250–256. 13 indexed citations
13.
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
14.
Hong, Dae Young, et al.. (2014). Seasonal Variation of Renal Colic in the Emergency Department and it Association with Climatic Parameters. Journal of the Korean society of emergency medicine. 25(2). 145–151.
15.
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
16.
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
17.
Park, Jin‐Hee, Pramod Darvin, Youn Hee Joung, et al.. (2012). Hwanggeumchal sorghum Induces Cell Cycle Arrest, and Suppresses Tumor Growth and Metastasis through Jak2/STAT Pathways in Breast Cancer Xenografts. PLoS ONE. 7(7). e40531–e40531. 68 indexed citations
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20.
Kim, Jin Yong, et al.. (2007). Effect of the Asian Dust Events on Respiratory Disease During the Spring. Journal of the Korean society of emergency medicine. 18(4). 326–332. 3 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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