Hani Lee
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
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- DNA Repair Mechanisms 3
- Cancer therapeutics and mechanisms 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 11
- Cancer-related Molecular Pathways 4
- Cancer Cells and Metastasis 3
- PARP inhibition in cancer therapy 2
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Woo‐Young Kim (8 shared papers)Sukjoon Yoon (6 shared papers)Jae‐Ha Ryu (3 shared papers)Woo‐Young Kim (3 shared papers)Hyejin Kim (2 shared papers)Yonghwan Kim (1 shared paper)Ji Hye Jeong (1 shared paper)Young Ji Yoo (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)The FASEB Journal (1 paper)PLoS ONE (1 paper)Blood (1 paper)FEBS Open Bio (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Hani Lee
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 114
- Geriatrics and Gerontology 15
- Biochemistry 26
- Molecular Biology 201
- Oncology 72
Countries citing papers authored by Hani Lee
This map shows the geographic impact of Hani 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 Hani Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Lee more than expected).
Fields of papers citing papers by Hani Lee
This network shows the impact of papers produced by Hani 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 Hani Lee. The network helps show where Hani Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hani 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 | 2019 | 50 | |
| 2 | 2021 | 42 | |
| 3 | 2015 | 41 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 34 | |
| 6 | 2016 | 31 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2018 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2025 | 1 | |
| 17 | NMR-based Metabolomic Responses of Zebrafish (Danio Rerio) by Fipronil Exposure | 2020 | 1 |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Hani Lee
Hani Lee is a scholar working on Molecular Biology, Oncology, Cancer Research, Endocrinology, Diabetes and Metabolism and Immunology, having authored 21 papers that have together received 334 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), DNA Repair Mechanisms (3 papers), Cancer Cells and Metastasis (3 papers), Cancer, Lipids, and Metabolism (2 papers), PARP inhibition in cancer therapy (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cancer therapeutics and mechanisms (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (114 citations), Geriatrics and Gerontology (15 citations), Biochemistry (26 citations), Molecular Biology (201 citations) and Oncology (72 citations). Hani Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Woo‐Young Kim, Sukjoon Yoon, Jae‐Ha Ryu, Woo‐Young Kim, Hyejin Kim, Yonghwan Kim, Ji Hye Jeong, Young Ji Yoo, Yuchae Jung and Gyu‐Un Bae. Their work appears in journals such as Biochemical and Biophysical Research Communications, The FASEB Journal, PLoS ONE, Blood and FEBS Open Bio.
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.