Joon Won Lee
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
-
- Biosimilars and Bioanalytical Methods
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Protein purification and stability 2
- Oncology 3
- Co-authors
- Kwang Pyo Kim (10 shared papers)Dong‐Il Kim (1 shared paper)Jin Soo Bae (1 shared paper)Shin Jae Chang (1 shared paper)Soo Young Lee (1 shared paper)Yeon Jung Kim (1 shared paper)Do-Hee Kim (1 shared paper)Stephen D. Bell (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)PROTEOMICS (2 papers)PLoS ONE (2 papers)Autophagy (1 paper)Molecules and Cells (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Joon Won Lee
18 papers receiving 660 citations
Peers
Comparison fields: 5 of 113
- Geriatrics and Gerontology 65
- Immunology 156
- Physiology 30
- Molecular Biology 301
- Oncology 109
Countries citing papers authored by Joon Won Lee
This map shows the geographic impact of Joon 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 Joon 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 Joon Won Lee more than expected).
Fields of papers citing papers by Joon Won Lee
This network shows the impact of papers produced by Joon 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 Joon Won Lee. The network helps show where Joon Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 217 | |
| 2 | 2002 | 80 | |
| 3 | 2020 | 74 | |
| 4 | 2007 | 61 | |
| 5 | 2001 | 46 | |
| 6 | 2014 | 32 | |
| 7 | 2017 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2015 | 20 | |
| 11 | 1999 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 3 | |
| 17 | 2022 | 3 | |
| 18 | Development of BiTS(B-ISDN Integrated Test System) for B-ISDN Multi-Party Protocols | 1999 | 2 |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Joon Won Lee
Joon Won Lee is a scholar working on Molecular Biology, Oncology, Epidemiology, Spectroscopy and Immunology, having authored 21 papers that have together received 676 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Protein purification and stability (2 papers) and Chemotherapy-induced organ toxicity mitigation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (65 citations), Immunology (156 citations), Physiology (30 citations), Molecular Biology (301 citations) and Oncology (109 citations). Joon Won Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Kwang Pyo Kim, Dong‐Il Kim, Jin Soo Bae, Shin Jae Chang, Soo Young Lee, Yeon Jung Kim, Do-Hee Kim, Stephen D. Bell, Stephen P. Jackson and Kwang Yeon Hwang. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, PLoS ONE, Autophagy and Molecules and Cells.
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.