Ho‐Young Lee
- Molecular Biology top 1%
- Oncology top 1%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Waun Ki HongHye‐Young MinFloriana MorgilloEdward S. KimJonathan M. KurieJong Kyu WooFadlo R. KhuriJennifer A. Doudna
- Topics
- Growth Hormone and Insulin-like Growth Factors (32 papers)Cancer, Hypoxia, and Metabolism (32 papers)PI3K/AKT/mTOR signaling in cancer (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ho‐Young Lee
276 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 6.0k
- Oncology 2.1k
- Cancer Research 1.9k
- Pulmonary and Respiratory Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 1.1k
Countries citing papers authored by Ho‐Young Lee
This map shows the geographic impact of Ho‐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 Ho‐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 Ho‐Young Lee more than expected).
Fields of papers citing papers by Ho‐Young Lee
This network shows the impact of papers produced by Ho‐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 Ho‐Young Lee. The network helps show where Ho‐Young Lee may publish in the future.
Co-authorship network of co-authors of Ho‐Young Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Young Lee. A scholar is included among the top collaborators of Ho‐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 Ho‐Young Lee. Ho‐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 | 3 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 39 | |
| 6 | 119 | |
| 7 | 33 | |
| 8 | 21 | |
| 9 | 50 | |
| 10 | 164 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 37 | |
| 14 | Stimulation of the Immune Response by Herbal Formulas for Taeeumin | 1 |
| 15 | 112 | |
| 16 | 60 | |
| 17 | 49 | |
| 18 | Analysis of Studies on Ojeok-san for Establishment of Evidence Based Medicine | 11 |
| 19 | 275 | |
| 20 | Implication of protein kinase B/Akt and Bcl-2/Bcl-XL suppression by the farnesyl transferase inhibitor SCH66336 in apoptosis induction in squamous carcinoma cells. | 42 |
About Ho‐Young Lee
Ho‐Young Lee is a scholar working on Cancer Research, Immunology and Allergy and Molecular Biology, having authored 296 papers that have together received 10.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (32 papers), Cancer, Hypoxia, and Metabolism (32 papers) and PI3K/AKT/mTOR signaling in cancer (24 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (6.0k citations) and Oncology (2.1k citations). Ho‐Young Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Waun Ki Hong, Hye‐Young Min, Floriana Morgillo, Edward S. Kim, Jonathan M. Kurie, Jong Kyu Woo, Fadlo R. Khuri, Jennifer A. Doudna, Pinchas Cohen and Chaitan Khosla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.