Ji‐Young Lee
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cancer Research top 5%
- Materials Chemistry
- Epidemiology top 10%
- Co-authors
- Daishun LingFangyuan LiHongwei LiaoRolf A. DeiningerHeng SunFan XiaYoung‐Ki ParkMito Kanatsu‐Shinohara
- Topics
- Cancer Genomics and Diagnostics (8 papers)Liver Disease Diagnosis and Treatment (7 papers)Hepatitis C virus research (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Ji‐Young Lee
69 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.1k
- Biomedical Engineering 445
- Cancer Research 422
- Materials Chemistry 345
- Epidemiology 341
Countries citing papers authored by Ji‐Young Lee
This map shows the geographic impact of Ji‐Young 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‐Young 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‐Young Lee more than expected).
Fields of papers citing papers by Ji‐Young Lee
This network shows the impact of papers produced by Ji‐Young 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‐Young Lee. The network helps show where Ji‐Young Lee may publish in the future.
Co-authorship network of co-authors of Ji‐Young Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Young Lee. A scholar is included among the top collaborators of Ji‐Young Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji‐Young Lee. Ji‐Young Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 260 | |
| 11 | Factors Associated with Time to Diagnosis from Symptom Onset in Early Rheumatoid Arthritis Patients. | 0 |
| 12 | Effects of 3 Week-High Altitude Training on Aerobic and Anaerobic Exercise Performance and Recovery Capability in Cross-country Skier | 1 |
| 13 | 125 | |
| 14 | A Case of Familial Atypical Hemolytic Uremic Syndrome Associated with Complement Factor H Mutation in Adults | 1 |
| 15 | 72 | |
| 16 | 109 | |
| 17 | 90 | |
| 18 | 147 | |
| 19 | 62 | |
| 20 | A Morphological Study of Fingerprints and Palm Prints in Sasang Constitution | 0 |
About Ji‐Young Lee
Ji‐Young Lee is a scholar working on Cancer Research, Hepatology and Immunology, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Cancer Research (422 citations), Reproductive Medicine (179 citations) and Biochemistry (110 citations). Ji‐Young Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Daishun Ling, Fangyuan Li, Hongwei Liao, Rolf A. Deininger, Heng Sun, Fan Xia, Young‐Ki Park, Mito Kanatsu‐Shinohara, Sung I. Koo and Takashi Shinohara. Their work appears in journals such as Nature, Advanced Materials and Journal of Biological Chemistry.
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.