Ha Won Lee
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
Papers in
-
- Bacterial biofilms and quorum sensing 2
- Single-cell and spatial transcriptomics 1
-
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Vineet Gupta (6 shared papers)Gérard Karsenty (2 shared papers)Ronald A. DePinho (2 shared papers)Yusuf A. Hannun (2 shared papers)X. Edward Guo (2 shared papers)Christopher J. Clarke (2 shared papers)Emilio Arteaga‐Solis (2 shared papers)Mathieu Ferron (2 shared papers)
- Journals
- Cell Metabolism (2 papers)Journal of the American Society of Nephrology (2 papers)Scientific Reports (1 paper)Cellular Physiology and Biochemistry (1 paper)Genes & Diseases (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
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-authors
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 | 2013 | 183 | |
| 2 | 2016 | 80 | |
| 3 | 2015 | 49 | |
| 4 | 2012 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2017 | 10 | |
| 10 | 2013 | 10 | |
| 11 | 2023 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2014 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 |
About Ha Won Lee
Ha Won Lee is a scholar working on Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 15 papers that have together received 483 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Cystic Fibrosis Research Advances (2 papers), Bacterial biofilms and quorum sensing (2 papers), Neonatal Respiratory Health Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Single-cell and spatial transcriptomics (1 paper) and MicroRNA in disease regulation (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, Germany and United Kingdom. Frequent co-authors include Vineet Gupta, Gérard Karsenty, Ronald A. DePinho, Yusuf A. Hannun, X. Edward Guo, Christopher J. Clarke, Emilio Arteaga‐Solis, Mathieu Ferron, Daisuke Kajimura and Bin Zhou. Their work appears in journals such as Cell Metabolism, Journal of the American Society of Nephrology, Scientific Reports, Cellular Physiology and Biochemistry 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.