Jieun Lee
- Modeling and Simulation top 5%
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- Cancer-related Molecular Pathways 6
- HER2/EGFR in Cancer Research 4
- PARP inhibition in cancer therapy 4
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- Cancer Genomics and Diagnostics 9
- Breast Cancer Treatment Studies 7
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- Advanced Breast Cancer Therapies 8
- Lung Cancer Treatments and Mutations 6
- Metastasis and carcinoma case studies 4
- Oral Surgery top 10%
- Co-authors
- Iván J. RamírezMyung Ah LeeShayan Fakhraei LahijiYong‐Hee KimSung‐Il ChoJaehyun KimYoungkyung KoJun‐Beom Park
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research and Treatment (3 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jieun Lee
51 papers receiving 616 citations
Peers
Comparison fields: 5 of 101
- Modeling and Simulation 48
- Oncology 204
- Cancer Research 99
- Pulmonary and Respiratory Medicine 168
- Oral Surgery 26
Countries citing papers authored by Jieun Lee
This map shows the geographic impact of Jieun 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 Jieun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieun Lee more than expected).
Fields of papers citing papers by Jieun Lee
This network shows the impact of papers produced by Jieun 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 Jieun Lee. The network helps show where Jieun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jieun 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 60 | |
| 8 | 2021 | 46 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2014 | 27 | |
| 17 | 2013 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2007 | 6 | |
| 20 | Therapeutic Efficacy of Alendronate for Glucocorticoid Induced Metabolic Bone Disease in Children with Nephrotic Syndrome | 2004 | 1 |
About Jieun Lee
Jieun Lee is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 626 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Advanced Breast Cancer Therapies (8 papers), Breast Cancer Treatment Studies (7 papers), Cancer-related Molecular Pathways (6 papers), Lung Cancer Treatments and Mutations (6 papers), HER2/EGFR in Cancer Research (4 papers), PARP inhibition in cancer therapy (4 papers) and Metastasis and carcinoma case studies (4 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Oncology (204 citations) and Cancer Research (99 citations). Jieun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Iván J. Ramírez, Myung Ah Lee, Shayan Fakhraei Lahiji, Yong‐Hee Kim, Sung‐Il Cho, Jaehyun Kim, Youngkyung Ko, Jun‐Beom Park, Ahwon Lee and In-Ho Kim. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Treatment, Scientific Reports, Cancer Medicine and PLoS ONE.
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.