Joon Lee
Impact in
- Health Informatics top 2%
Papers in
- Surgery 31
- Hemodynamic Monitoring and Therapy 8
-
- Machine Learning in Healthcare 18
- Co-authors
- Fábio Madeira (1 shared paper)Adrian R. Tivey (1 shared paper)Nandana Madhusoodanan (1 shared paper)Rodrigo López (1 shared paper)Matt Pearce (1 shared paper)Roger G. Mark (25 shared papers)Leo Anthony Celi (28 shared papers)Ben Kim (6 shared papers)
- Journals
- Journal of the American College of Cardiology (7 papers)Journal of Medical Internet Research (5 papers)Critical Care Medicine (4 papers)JMIR mhealth and uhealth (4 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Joon Lee
189 papers receiving 6.4k citations
Joon Lee's Hit Papers
Peers
Comparison fields: 5 of 200
- Health Informatics 76
- Critical Care and Intensive Care Medicine 236
- Nephrology 336
- Health Information Management 157
- Speech and Hearing 214
Countries citing papers authored by Joon Lee
This map shows the geographic impact of Joon Lee'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 Joon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Lee more than expected).
Fields of papers citing papers by Joon Lee
This network shows the impact of papers produced by Joon Lee. 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 Joon Lee. The network helps show where Joon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Search and sequence analysis tools services from EMBL-EBI in 2022 Hit paper breakdown → | 2022 | 1535 |
| 2 | 2015 | 255 | |
| 3 | 2017 | 154 | |
| 4 | 2007 | 149 | |
| 5 | 2019 | 139 | |
| 6 | 2017 | 132 | |
| 7 | 2011 | 130 | |
| 8 | 2013 | 126 | |
| 9 | 2008 | 125 | |
| 10 | 2015 | 114 | |
| 11 | 2012 | 109 | |
| 12 | 2011 | 107 | |
| 13 | 2007 | 106 | |
| 14 | 2016 | 105 | |
| 15 | 2015 | 105 | |
| 16 | 2010 | 100 | |
| 17 | 2012 | 95 | |
| 18 | 2014 | 85 | |
| 19 | 2010 | 83 | |
| 20 | 2002 | 78 |
About Joon Lee
Joon Lee is a scholar working on Surgery, Artificial Intelligence, Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 207 papers that have together received 6.6k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (18 papers), Sepsis Diagnosis and Treatment (13 papers), Spine and Intervertebral Disc Pathology (12 papers), Hemodynamic Monitoring and Therapy (8 papers), Dysphagia Assessment and Management (7 papers), Acute Kidney Injury Research (6 papers), Cardiac Imaging and Diagnostics (6 papers) and Magnesium in Health and Disease (6 papers). The work is most often cited by research in Health Informatics (76 citations), Critical Care and Intensive Care Medicine (236 citations), Nephrology (336 citations), Health Information Management (157 citations) and Speech and Hearing (214 citations). Joon Lee has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Fábio Madeira, Adrian R. Tivey, Nandana Madhusoodanan, Rodrigo López, Matt Pearce, Roger G. Mark, Leo Anthony Celi, Ben Kim, James D. Kang and Joel A. Dubin. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Medical Internet Research, Critical Care Medicine, JMIR mhealth and uhealth and PLoS ONE.
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.