Ha Won Lee
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 2
- Orthopedics and Sports Medicine top 10%
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- Bacterial biofilms and quorum sensing 2
- Single-cell and spatial transcriptomics 1
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- Neonatal Respiratory Health Research 2
- Cystic Fibrosis Research Advances 2
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- Adipokines, Inflammation, and Metabolic Diseases 2
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- Pregnancy and preeclampsia studies 1
- Co-authors
- Vineet GuptaChristopher J. ClarkeRonald A. DePinhoDaisuke KajimuraMathieu FerronX. Edward GuoGérard KarsentyYusuf A. Hannun
- Journals
- Cell Metabolism (2 papers)Journal of the American Society of Nephrology (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Ha Won Lee
15 papers receiving 480 citations
Peers
Comparison fields: 5 of 85
- Nephrology 93
- Orthopedics and Sports Medicine 54
- Cancer Research 56
- Endocrine and Autonomic Systems 25
- Molecular Biology 210
Countries citing papers authored by Ha Won Lee
This map shows the geographic impact of Ha 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 Ha 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 Ha Won Lee more than expected).
Fields of papers citing papers by Ha Won Lee
This network shows the impact of papers produced by Ha 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 Ha Won Lee. The network helps show where Ha Won Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ha 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2019 | 21 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 4 | |
| 8 | 2016 | 21 | |
| 9 | 2016 | 30 | |
| 10 | 2016 | 80 | |
| 11 | 2015 | 49 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 183 | |
| 14 | 2013 | 10 | |
| 15 | 2012 | 33 |
About Ha Won Lee
Ha Won Lee is a scholar working on Nephrology, Molecular Medicine, Gastroenterology, Biophysics and Immunology and Allergy, having authored 15 papers that have together received 483 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Neonatal Respiratory Health Research (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Bacterial biofilms and quorum sensing (2 papers), Cystic Fibrosis Research Advances (2 papers), Pregnancy and preeclampsia studies (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Nephrology (93 citations), Orthopedics and Sports Medicine (54 citations), Cancer Research (56 citations), Endocrine and Autonomic Systems (25 citations) and Molecular Biology (210 citations). Ha Won Lee has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Vineet Gupta, Christopher J. Clarke, Ronald A. DePinho, Daisuke Kajimura, Mathieu Ferron, X. Edward Guo, Gérard Karsenty, Yusuf A. Hannun, Emilio Arteaga‐Solis and Bin Zhou. Their work appears in journals such as Cell Metabolism, Journal of the American Society of Nephrology, Scientific Reports, Journal of Experimental & Clinical Cancer Research and Genes & Diseases.
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.