Ji Won Lee
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Co-authors
- Ki Woong Sung (66 shared papers)Hong Hoe Koo (55 shared papers)Keon Hee Yoo (59 shared papers)Kuan Soo Shin (15 shared papers)Kwan Kim (15 shared papers)Jin‐Hyo Boo (20 shared papers)Dong In Kim (16 shared papers)Myoung Woo Lee (7 shared papers)
- Journals
- Journal of Korean Medical Science (16 papers)Cancer Research and Treatment (12 papers)PLoS ONE (8 papers)Pediatric Blood & Cancer (6 papers)Applied Surface Science (5 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ji Won Lee
165 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Genetics 371
- Hematology 261
- Neurology 281
- Electronic, Optical and Magnetic Materials 273
- Cancer Research 169
Countries citing papers authored by Ji Won Lee
This map shows the geographic impact of Ji 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 Ji 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 Ji Won Lee more than expected).
Fields of papers citing papers by Ji Won Lee
This network shows the impact of papers produced by Ji 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 Ji Won Lee. The network helps show where Ji Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 231 | |
| 2 | 2008 | 101 | |
| 3 | 2019 | 85 | |
| 4 | 2017 | 82 | |
| 5 | 2022 | 61 | |
| 6 | 2018 | 52 | |
| 7 | 2018 | 51 | |
| 8 | 2011 | 50 | |
| 9 | 2019 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2017 | 35 | |
| 12 | 2012 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2013 | 32 | |
| 15 | 2017 | 30 | |
| 16 | 2010 | 30 | |
| 17 | 2011 | 28 | |
| 18 | 2012 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2013 | 25 |
About Ji Won Lee
Ji Won Lee is a scholar working on Neurology, Genetics, Hematology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 176 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (28 papers), Acute Lymphoblastic Leukemia research (19 papers), Glioma Diagnosis and Treatment (16 papers), Hematopoietic Stem Cell Transplantation (15 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Advanced Photocatalysis Techniques (13 papers), Acute Myeloid Leukemia Research (9 papers) and Quantum Dots Synthesis And Properties (7 papers). The work is most often cited by research in Genetics (371 citations), Hematology (261 citations), Neurology (281 citations), Electronic, Optical and Magnetic Materials (273 citations) and Cancer Research (169 citations). Ji Won Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Ki Woong Sung, Hong Hoe Koo, Keon Hee Yoo, Kuan Soo Shin, Kwan Kim, Jin‐Hyo Boo, Dong In Kim, Myoung Woo Lee, Hyoung Jin Kang and Hyang Bong Lee. Their work appears in journals such as Journal of Korean Medical Science, Cancer Research and Treatment, PLoS ONE, Pediatric Blood & Cancer and Applied Surface Science.
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.