Ji Yeon Lee
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 10
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
- Modeling and Simulation top 5%
- Epidemiology top 10%
- Mycobacterium research and diagnosis 7
- Surgery top 10%
- Infectious Diseases and Tuberculosis 7
- Diagnosis and treatment of tuberculosis 6
- Urology top 10%
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- Mesenchymal stem cell research 4
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
- Co-authors
- Joon-Sung JohIna JeongByung Hee HanSam Sik KangYeonjae KimGayeon KimHyoung‐Shik ShinJung Nam Im
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Korean Medical Science (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ji Yeon Lee
46 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 618
- Modeling and Simulation 57
- Epidemiology 253
- Surgery 323
- Urology 44
Countries citing papers authored by Ji Yeon Lee
This map shows the geographic impact of Ji Yeon 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 Yeon 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 Yeon Lee more than expected).
Fields of papers citing papers by Ji Yeon Lee
This network shows the impact of papers produced by Ji Yeon 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 Yeon Lee. The network helps show where Ji Yeon Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ji Yeon 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 13 | |
| 12 | 2017 | 31 | |
| 13 | 2017 | 65 | |
| 14 | 2017 | 60 | |
| 15 | Antioxidative and Antitumor Effects of Isoflavones Isolated from the Leaves of Maackia fauriei . | 2016 | 9 |
| 16 | 2015 | 66 | |
| 17 | 2015 | 8 | |
| 18 | 2013 | 52 | |
| 19 | 2008 | 1 | |
| 20 | 2005 | 92 |
About Ji Yeon Lee
Ji Yeon Lee is a scholar working on Infectious Diseases, Genetics, Complementary and alternative medicine, Microbiology and Epidemiology, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (7 papers), Infectious Diseases and Tuberculosis (7 papers), COVID-19 Clinical Research Studies (6 papers), Diagnosis and treatment of tuberculosis (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Mesenchymal stem cell research (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Infectious Diseases (618 citations), Modeling and Simulation (57 citations), Epidemiology (253 citations), Surgery (323 citations) and Urology (44 citations). Ji Yeon Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Joon-Sung Joh, Ina Jeong, Byung Hee Han, Sam Sik Kang, Yeonjae Kim, Gayeon Kim, Hyoung‐Shik Shin, Jung Nam Im, Dae Young Lim and Sang Wan Kim. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Korean Medical Science, Journal of Clinical Medicine, Clinical Infectious Diseases and Scientific Reports.
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.