Won Young Kim

7.4k total citations · 1 hit paper
261 papers, 4.9k citations indexed

About

Won Young Kim is a scholar working on Emergency Medicine, Epidemiology and Surgery. According to data from OpenAlex, Won Young Kim has authored 261 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Emergency Medicine, 105 papers in Epidemiology and 58 papers in Surgery. Recurrent topics in Won Young Kim's work include Cardiac Arrest and Resuscitation (88 papers), Sepsis Diagnosis and Treatment (73 papers) and Hemodynamic Monitoring and Therapy (30 papers). Won Young Kim is often cited by papers focused on Cardiac Arrest and Resuscitation (88 papers), Sepsis Diagnosis and Treatment (73 papers) and Hemodynamic Monitoring and Therapy (30 papers). Won Young Kim collaborates with scholars based in South Korea, United States and China. Won Young Kim's co-authors include Youn‐Jung Kim, Seung Mok Ryoo, Chang Hwan Sohn, Younsuck Koh, Chae‐Man Lim, Sang‐Bum Hong, Kyoung Soo Lim, Jong Seung Kim, Shin Ahn and Seyoung Koo and has published in prestigious journals such as Chemical Society Reviews, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Won Young Kim

245 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diaphragm dysfunction assessed by ultrasonography: Influence on weaning from mechanical ventilation*

2011 362 citations Won Young Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Won Young Kim South Korea	33	1.5k	1.3k	867	822	803	261	4.9k
Patrick Murray United States	42	1.2k 0.8×	877 0.7×	1.3k 1.5×	890 1.1×	1.2k 1.5×	126	6.5k
Allan Doctor United States	39	929 0.6×	714 0.5×	558 0.6×	1.0k 1.2×	521 0.6×	136	4.8k
Mark A. Perazella United States	64	1.5k 1.0×	927 0.7×	1.6k 1.9×	2.6k 3.1×	665 0.8×	286	11.8k
Yi Chen China	21	2.0k 1.3×	768 0.6×	734 0.8×	3.4k 4.1×	1.4k 1.7×	81	8.8k
Marlies Ostermann United Kingdom	47	2.1k 1.4×	1.5k 1.1×	2.3k 2.6×	1.1k 1.3×	2.0k 2.5×	271	8.4k
Dinna N. Cruz Italy	43	1.9k 1.3×	1.1k 0.9×	1.8k 2.1×	1.1k 1.4×	1.7k 2.2×	156	8.8k
Matthieu Legrand France	39	1.4k 0.9×	551 0.4×	1.1k 1.3×	707 0.9×	924 1.2×	169	5.2k
Zhiyong Peng China	32	960 0.7×	288 0.2×	672 0.8×	1.2k 1.4×	508 0.6×	152	5.9k
Kenneth Nugent United States	38	1.1k 0.7×	334 0.3×	1.1k 1.3×	1.3k 1.6×	264 0.3×	446	6.7k
Kai Zacharowski Germany	51	1.2k 0.8×	1.1k 0.9×	1.7k 2.0×	1.1k 1.3×	1.9k 2.4×	456	9.5k

Countries citing papers authored by Won Young Kim

Since Specialization

Citations

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

Fields of papers citing papers by Won Young Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Young Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Won Young Kim. A scholar is included among the top collaborators of Won Young 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 Won Young Kim. Won Young Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Gun Tak, Byuk Sung Ko, Minha Kim, et al.. (2024). Diagnostic Accuracy of Plasma Renin Concentration and Renin Activity in Predicting Mortality and Kidney Outcomes in Patients With Septic Shock and Hypoperfusion or Hypotension: A Multicenter, Prospective, Observational Study. Annals of Laboratory Medicine. 44(6). 497–506. 1 indexed citations

Kim, Sang‐Min, Chang Hwan Sohn, Hyojeong Kwon, et al.. (2024). Thromboelastography as an early prediction method for hypofibrinogenemia in emergency department patients with primary postpartum hemorrhage. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 32(1). 85–85. 2 indexed citations

Choi, Sung‐Hyuk, Gil Joon Suh, Sung Phil Chung, et al.. (2023). The usefulness of lactate/albumin ratio, C-reactive protein/albumin ratio, procalcitonin/albumin ratio, SOFA, and qSOFA in predicting the prognosis of patients with sepsis who presented to EDs. The American Journal of Emergency Medicine. 78. 1–7. 10 indexed citations

Lee, Juncheol, Jaehoon Oh, Byuk Sung Ko, et al.. (2023). Effectiveness of Initial Troponin I and Brain Natriuretic Peptide Levels as Biomarkers for Predicting Delayed Neuropsychiatric Sequelae in Patients with CO Poisoning: A Retrospective Multicenter Observational Study. Journal of Personalized Medicine. 13(6). 921–921. 1 indexed citations

Kim, June‐sung, et al.. (2023). Impact of Developing Dialysis-Requiring Acute Kidney Injury on Long-Term Mortality in Cancer Patients with Septic Shock. Cancers. 15(14). 3619–3619. 2 indexed citations

Kim, Sang-Min, et al.. (2023). Abstract 146: Advanced Age and Neurological Recovery in Elderly Patients With Out-of-Hospital Cardiac Arrest Treated With Targeted Temperature Management: A Nationwide Population-Based Registry Study. Circulation. 148(Suppl_1).

Kim, Youn‐Jung, Yong Hwan Kim, Chun Song Youn, et al.. (2023). Different neuroprognostication thresholds of neuron-specific enolase in shockable and non-shockable out-of-hospital cardiac arrest: a prospective multicenter observational study in Korea (the KORHN-PRO registry). Critical Care. 27(1). 313–313. 8 indexed citations

Jeong, Daun, Gun Tak Lee, Jong Eun Park, et al.. (2022). Impact of COVID-19 Pandemic on Management and Outcomes in Patients with Septic Shock in the Emergency Department. Journal of Personalized Medicine. 12(11). 1803–1803.

Kim, June‐sung, Seung Mok Ryoo, Youn‐Jung Kim, et al.. (2022). Augmented-Medication CardioPulmonary Resuscitation (AMCPR) trial: a study protocol for a randomized controlled trial. Clinical and Experimental Emergency Medicine. 9(4). 361–366. 2 indexed citations

10.

Kim, Youn‐Jung, et al.. (2021). Use of quick sequential organ failure assessment score-based sepsis clinical decision support system may be helpful to predict sepsis development. Signa Vitae. 5 indexed citations

11.

Koo, Seyoung, Miae Won, Hao Li, et al.. (2021). Harnessing α-l-fucosidase for in vivo cellular senescence imaging. Chemical Science. 12(29). 10054–10062. 34 indexed citations

12.

Lee, Sang-Hun, et al.. (2020). Pulse pressure during the initial resuscitative period in patients with septic shock treated with a protocol-driven resuscitation bundle therapy. The Korean Journal of Internal Medicine. 36(4). 924–931. 6 indexed citations

13.

Lee, Dong Hun, Byung Kook Lee, Yong Hwan Kim, et al.. (2020). Vasospasm-Related Sudden Cardiac Death Has Outcomes Comparable with Coronary Stenosis in Out-of-Hospital Cardiac Arrest. Journal of Korean Medical Science. 35(19). e131–e131. 1 indexed citations

14.

Yoon, Jae Chol, Jung Heon Kim, Shin Ahn, et al.. (2019). Factors for modifying the termination of resuscitation rule in out-of-hospital cardiac arrest. American Heart Journal. 213. 73–80. 18 indexed citations

15.

Lee, Hyoung Youn, Byung Kook Lee, Dong Hun Lee, et al.. (2019). Turn-to-Shockable Rhythm Has Comparable Neurologic Outcomes to Initial Shockable Rhythm in Out-of-Hospital Cardiac Arrest Patients Who Underwent Targeted Temperature Management. Therapeutic Hypothermia and Temperature Management. 10(4). 220–228. 3 indexed citations

16.

Kim, Youn‐Jung, et al.. (2018). Independent Risk Factors for the Shivering Occurrence During Induction Period in Out-of-Hospital Cardiac Arrest Survivors Treated with Targeted Temperature Management. Therapeutic Hypothermia and Temperature Management. 9(1). 70–75. 4 indexed citations

17.

Shin, Tae Gun, Ik Joon Jo, Won Young Kim, et al.. (2018). Characteristics and outcomes of patients with septic shock who transferred to the emergency department in tertiary referral center: multicenter, retrospective, observational study. Journal of the Korean society of emergency medicine. 29(5). 465–473. 1 indexed citations

18.

Park, Hyun‐Kyung, et al.. (2017). Quick sequential organ failure assessment compared to systemic inflammatory response syndrome for predicting sepsis in emergency department. Journal of Critical Care. 42. 12–17. 47 indexed citations

19.

Cho, Youngsuk, et al.. (2016). The Influence of Vertical Location of Cardiac Arrest and Application of Mechanical Cardiopulmonary Resuscitation Device on out of Hospital Cardiac Arrest in a Community: A Retrospective Observational Study. Journal of the Korean society of emergency medicine. 27(6). 530–539. 3 indexed citations

20.

Kim, Won Young, et al.. (1999). The Function of eryBVII Gene is to Epimerize TDP-6-Deoxy-L-threo-D-glycero-4-hexulose in the Biosynthesis of Erythromycin A. BMB Reports. 32(1). 72–75. 1 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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