Joonghee Kim

2.9k total citations
103 papers, 1.9k citations indexed

About

Joonghee Kim is a scholar working on Emergency Medicine, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joonghee Kim has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Emergency Medicine, 32 papers in Epidemiology and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joonghee Kim's work include Cardiac Arrest and Resuscitation (35 papers), Emergency and Acute Care Studies (16 papers) and Sepsis Diagnosis and Treatment (16 papers). Joonghee Kim is often cited by papers focused on Cardiac Arrest and Resuscitation (35 papers), Emergency and Acute Care Studies (16 papers) and Sepsis Diagnosis and Treatment (16 papers). Joonghee Kim collaborates with scholars based in South Korea, Ethiopia and United States. Joonghee Kim's co-authors include Kyuseok Kim, You Hwan Jo, Jae Hyuk Lee, Joong Eui Rhee, Ji Eun Hwang, Kyeong Won Kang, Hong‐Duk Youn, Taeyun Kim, Si‐Hyuck Kang and Changwoo Kang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Joonghee Kim

97 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joonghee Kim South Korea 25 610 606 306 263 247 103 1.9k
You Hwan Jo South Korea 28 872 1.4× 1.2k 2.0× 232 0.8× 550 2.1× 515 2.1× 178 2.9k
Fiona K. Gibbons United States 26 201 0.3× 538 0.9× 197 0.6× 295 1.1× 483 2.0× 46 2.2k
Paweena Susantitaphong Thailand 30 251 0.4× 374 0.6× 283 0.9× 650 2.5× 385 1.6× 123 3.4k
Juan D. Ordoñez United States 15 263 0.4× 278 0.5× 445 1.5× 371 1.4× 324 1.3× 20 2.4k
Peter C. Hou United States 23 300 0.5× 715 1.2× 163 0.5× 235 0.9× 434 1.8× 75 1.6k
Yucai Hong China 23 186 0.3× 566 0.9× 113 0.4× 318 1.2× 361 1.5× 54 1.5k
Yasuhiro Otomo Japan 21 636 1.0× 381 0.6× 122 0.4× 450 1.7× 216 0.9× 161 1.8k
M.G.S. Shashaty United States 28 278 0.5× 601 1.0× 132 0.4× 403 1.5× 429 1.7× 62 2.2k
Dennis H. Murphree United States 24 494 0.8× 395 0.7× 603 2.0× 375 1.4× 248 1.0× 72 1.7k
Fernando G. Zampieri Brazil 28 395 0.6× 1.1k 1.7× 371 1.2× 629 2.4× 526 2.1× 132 2.6k

Countries citing papers authored by Joonghee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joonghee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonghee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joonghee Kim. A scholar is included among the top collaborators of Joonghee Kim 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 Joonghee Kim. Joonghee Kim 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.
2.
Chung, Sun Gun, Jaewon Beom, Kyung Su Kim, et al.. (2025). Minimum required distance for clinically significant measurement of habitual gait speed. BMC Geriatrics. 25(1). 497–497.
3.
Hong, Won Pyo, et al.. (2024). Smartphone AI vs. Medical Experts: A Comparative Study in Prehospital STEMI Diagnosis. Yonsei Medical Journal. 65(3). 174–174. 6 indexed citations
4.
Choi, Jina, Joonghee Kim, Carmen Spaccarotella, et al.. (2024). Smartwatch ECG and artificial intelligence in detecting acute coronary syndrome compared to traditional 12-lead ECG. IJC Heart & Vasculature. 56. 101573–101573. 4 indexed citations
5.
Choi, Yoo Jin, et al.. (2024). Screening for RV Dysfunction Using Smartphone ECG Analysis App: Validation Study with Acute Pulmonary Embolism Patients. Journal of Clinical Medicine. 13(16). 4792–4792. 6 indexed citations
6.
Cho, Youngjin, Minjae Yoon, Joonghee Kim, et al.. (2024). Artificial Intelligence–Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study. Journal of Medical Internet Research. 26. e52139–e52139. 9 indexed citations
7.
Etiwy, Muhammad, Shawn X. Li, Fritha Morrison, et al.. (2024). Examining lack of referrals to heart valve specialists as mechanisms of potential underutilization of aortic valve replacement. American Heart Journal. 274. 54–64. 1 indexed citations
8.
Suh, Gil Joon, Jeong Ho Park, Joonghee Kim, et al.. (2023). A simple scoring rule to predict survival to discharge after out of hospital cardiac arrest at the time of ED arrival. The American Journal of Emergency Medicine. 72. 151–157. 1 indexed citations
9.
Hwang, Ji Eun, et al.. (2022). A Retrospective Clinical Evaluation of an Artificial Intelligence Screening Method for Early Detection of STEMI in the Emergency Department. Journal of Korean Medical Science. 37(10). e81–e81. 16 indexed citations
10.
Kim, Taegyun, Jonghwan Shin, Gil Joon Suh, et al.. (2021). Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models. Journal of Korean Medical Science. 36(28). e187–e187. 8 indexed citations
11.
Jang, Dong‐Hyun, You Hwan Jo, Jae Hyuk Lee, et al.. (2020). Moderate to severe hyperphosphataemia as an independent prognostic factor for 28-day mortality in adult patients with sepsis. Emergency Medicine Journal. 37(6). 355–361. 16 indexed citations
12.
Choi, Yoo Jin, et al.. (2019). Underuse of Epinephrine for Pediatric Anaphylaxis Victims in the Emergency Department: A Population-based Study. Allergy Asthma and Immunology Research. 11(4). 529–529. 20 indexed citations
13.
Kim, Joonghee, et al.. (2019). The epidemiology of childhood intussusception in South Korea: An observational study. PLoS ONE. 14(12). e0219286–e0219286. 6 indexed citations
14.
Kim, Joonghee, You Hwan Jo, Jae Hyuk Lee, et al.. (2019). Prolonged stay in the emergency department is an independent risk factor for hospital‐acquired pressure ulcer. International Wound Journal. 17(2). 259–267. 19 indexed citations
15.
Lee, Jae Hyuk, et al.. (2018). Relationship between the time to positivity of blood culture and mortality according to the site of infection in sepsis. Journal of the Korean society of emergency medicine. 29(5). 474–484. 1 indexed citations
16.
17.
Kang, Si‐Hyuck, Joonghee Kim, Jin Joo Park, et al.. (2017). Risk of stroke in congestive heart failure with and without atrial fibrillation. International Journal of Cardiology. 248. 182–187. 44 indexed citations
18.
Kim, Joonghee, You Hwan Jo, Kyuseok Kim, et al.. (2015). ED crowding and the outcomes of out-of-hospital cardiac arrest. The American Journal of Emergency Medicine. 33(11). 1659–1664. 8 indexed citations
19.
Lee, Jae Hyuk, Kyuseok Kim, You Hwan Jo, et al.. (2013). Effect of valproic acid on survival and neurologic outcomes in an asphyxial cardiac arrest model of rats. Resuscitation. 84(10). 1443–1449. 13 indexed citations
20.
Yoon, Dukyong, et al.. (2012). Construction of an Open-Access QT Database for Detecting the Proarrhythmia Potential of Marketed Drugs: ECG-ViEW. Clinical Pharmacology & Therapeutics. 92(3). 393–396. 16 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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