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
-
- FOXO transcription factor regulation 1
- Cell death mechanisms and regulation 1
- Single-cell and spatial transcriptomics 1
-
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Vineet Gupta (6 shared papers)Daisuke Kajimura (2 shared papers)Christopher J. Clarke (2 shared papers)Yusuf A. Hannun (2 shared papers)Gérard Karsenty (2 shared papers)Bin Zhou (1 shared paper)X. Edward Guo (2 shared papers)Emilio Arteaga‐Solis (2 shared papers)
- Journals
- Journal of the American Society of Nephrology (2 papers)Cell Metabolism (2 papers)Cell (1 paper)Toxicologic Pathology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
Ha Won Lee
15 papers receiving 496 citations
Peers
Comparison fields: 5 of 83
- Nephrology 90
- Orthopedics and Sports Medicine 48
- Endocrine and Autonomic Systems 24
- Cancer Research 49
- Physiology 71
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 | 188 | |
| 2 | 2016 | 81 | |
| 3 | 2015 | 51 | |
| 4 | 2012 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 30 | |
| 7 | 2019 | 23 | |
| 8 | 2016 | 21 | |
| 9 | 2017 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2023 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 3 |
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 499 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (2 papers), Cystic Fibrosis Research Advances (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), FOXO transcription factor regulation (1 paper), Cell death mechanisms and regulation (1 paper), Cellular transport and secretion (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Nephrology (90 citations), Orthopedics and Sports Medicine (48 citations), Endocrine and Autonomic Systems (24 citations), Cancer Research (49 citations) and Physiology (71 citations). Ha Won Lee has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Vineet Gupta, Daisuke Kajimura, Christopher J. Clarke, Yusuf A. Hannun, Gérard Karsenty, Bin Zhou, X. Edward Guo, Emilio Arteaga‐Solis, Ronald A. DePinho and Mathieu Ferron. Their work appears in journals such as Journal of the American Society of Nephrology, Cell Metabolism, Cell, Toxicologic Pathology and Journal of Clinical Investigation.
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.