Hee Won Lee
Impact in
- Family Practice top 1%
- Clinical Reasoning and Diagnostic Skills
- Pharmacy top 2%
- Medical Malpractice and Liability Issues
Papers in ⓘ
-
- Carbon dioxide utilization in catalysis 4
- Co-authors
- Peter J. Pronovost (3 shared papers)David E. Newman‐Toker (2 shared papers)Simon C. Mathews (2 shared papers)Andrew D. Shore (2 shared papers)Ali S. Saber Tehrani (1 shared paper)Martin A. Makary (1 shared paper)Ung Lee (5 shared papers)Dong Ki Lee (2 shared papers)
- Journals
- BMB Reports (3 papers)Organic Letters (2 papers)BMJ Quality & Safety (2 papers)Experimental & Molecular Medicine (2 papers)Blood (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hee Won Lee
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 148
- Family Practice 220
- Pharmacy 127
- Process Chemistry and Technology 72
- Catalysis 165
- Health Informatics 26
Countries citing papers authored by Hee Won Lee
This map shows the geographic impact of Hee Won 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 Hee Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee Won Lee more than expected).
Fields of papers citing papers by Hee Won Lee
This network shows the impact of papers produced by Hee Won 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 Hee Won Lee. The network helps show where Hee Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee Won 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 242 | |
| 2 | 2012 | 184 | |
| 3 | 2021 | 137 | |
| 4 | 2022 | 118 | |
| 5 | 2008 | 97 | |
| 6 | 2018 | 75 | |
| 7 | 2019 | 62 | |
| 8 | 2014 | 53 | |
| 9 | 2007 | 39 | |
| 10 | 2009 | 37 | |
| 11 | 2016 | 32 | |
| 12 | 2014 | 28 | |
| 13 | 2018 | 28 | |
| 14 | 2021 | 24 | |
| 15 | 2019 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2014 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2019 | 15 |
About Hee Won Lee
Hee Won Lee is a scholar working on Process Chemistry and Technology, Family Practice, Applied Microbiology and Biotechnology, Pharmacology and Pharmacy, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Carbon dioxide utilization in catalysis (4 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers), Neuropeptides and Animal Physiology (3 papers), melanin and skin pigmentation (3 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Family Practice (220 citations), Pharmacy (127 citations), Process Chemistry and Technology (72 citations), Catalysis (165 citations) and Health Informatics (26 citations). Hee Won Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Peter J. Pronovost, David E. Newman‐Toker, Simon C. Mathews, Andrew D. Shore, Ali S. Saber Tehrani, Martin A. Makary, Ung Lee, Dong Ki Lee, Dongjin Kim and Da Hye Won. Their work appears in journals such as BMB Reports, Organic Letters, BMJ Quality & Safety, Experimental & Molecular Medicine and Blood.
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.