Won Chul
Impact in
- Emergency Medicine top 0.5%
- Cardiac Arrest and Resuscitation
- Emergency and Acute Care Studies
- Trauma and Emergency Care Studies
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Cardiac Arrest and Resuscitation 40
- Emergency and Acute Care Studies 37
- Trauma and Emergency Care Studies 34
- Co-authors
- Ik Joon JoTae Gun ShinSang Do ShinMin Seob SimSung Yeon HwangHee YoonKyoung Jun SongTae Rim Lee
- Journals
- Journal of Korean Medical Science (11 papers)Scientific Reports (10 papers)JMIR mhealth and uhealth (10 papers)The American Journal of Emergency Medicine (8 papers)Resuscitation (6 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Won Chul
152 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Emergency Medicine 944
- Health Informatics 105
- Critical Care and Intensive Care Medicine 177
- Family Practice 75
- Health Information Management 115
Countries citing papers authored by Won Chul
This map shows the geographic impact of Won Chul'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 Chul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Chul more than expected).
Fields of papers citing papers by Won Chul
This network shows the impact of papers produced by Won Chul. 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 Chul. The network helps show where Won Chul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Chul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 58 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 5 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 25 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 13 | |
| 20 | A Survey of Emergency Department Health Care Provider on Awareness of Elder Abuse | 2016 | 3 |
About Won Chul
Won Chul is a scholar working on Emergency Medicine, Health Informatics, Emergency Medical Services, Health Information Management and Family Practice, having authored 163 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (40 papers), Emergency and Acute Care Studies (37 papers), Trauma and Emergency Care Studies (34 papers), Sepsis Diagnosis and Treatment (31 papers), Disaster Response and Management (11 papers), Electronic Health Records Systems (11 papers), Machine Learning in Healthcare (11 papers) and Hemodynamic Monitoring and Therapy (11 papers). The work is most often cited by research in Emergency Medicine (944 citations), Health Informatics (105 citations), Critical Care and Intensive Care Medicine (177 citations), Family Practice (75 citations) and Health Information Management (115 citations). Won Chul has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Ik Joon Jo, Tae Gun Shin, Sang Do Shin, Min Seob Sim, Sung Yeon Hwang, Hee Yoon, Kyoung Jun Song, Tae Rim Lee, Eui Jung Lee and Ki Ok Ahn. Their work appears in journals such as Journal of Korean Medical Science, Scientific Reports, JMIR mhealth and uhealth, The American Journal of Emergency Medicine and Resuscitation.
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.