Hae‐Ock Lee
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Single-cell and spatial transcriptomics 16
- Ubiquitin and proteasome pathways 3
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- Cancer Genomics and Diagnostics 13
- Co-authors
- Woong‐Yang Park (23 shared papers)Hye Hyeon Eum (13 shared papers)Woosung Chung (6 shared papers)Wonshik Han (3 shared papers)Sangmin Kim (2 shared papers)Jeong Eon Lee (2 shared papers)Han‐Byoel Lee (2 shared papers)Han Suk Ryu (2 shared papers)
- Journals
- Oncotarget (3 papers)Genome Research (2 papers)Experimental & Molecular Medicine (2 papers)BMB Reports (2 papers)FEBS Journal (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Hae‐Ock Lee
52 papers receiving 2.6k citations
Hae‐Ock Lee's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 770
- Oncology 744
- Immunology 594
- Molecular Biology 1.6k
- Biophysics 82
Countries citing papers authored by Hae‐Ock Lee
This map shows the geographic impact of Hae‐Ock 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 Hae‐Ock Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hae‐Ock Lee more than expected).
Fields of papers citing papers by Hae‐Ock Lee
This network shows the impact of papers produced by Hae‐Ock 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 Hae‐Ock Lee. The network helps show where Hae‐Ock Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hae‐Ock 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer Hit paper breakdown → | 2017 | 713 |
| 2 | 2015 | 218 | |
| 3 | 2016 | 161 | |
| 4 | 2000 | 133 | |
| 5 | 2018 | 132 | |
| 6 | 2020 | 131 | |
| 7 | 2017 | 105 | |
| 8 | 2002 | 91 | |
| 9 | 2017 | 76 | |
| 10 | 2003 | 74 | |
| 11 | 2020 | 73 | |
| 12 | 2012 | 69 | |
| 13 | 2003 | 58 | |
| 14 | 2019 | 55 | |
| 15 | 2015 | 46 | |
| 16 | 2000 | 45 | |
| 17 | 2013 | 45 | |
| 18 | 2023 | 31 | |
| 19 | 2010 | 29 | |
| 20 | 2015 | 28 |
About Hae‐Ock Lee
Hae‐Ock Lee is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (16 papers), Cancer Genomics and Diagnostics (13 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (4 papers), Immune cells in cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (770 citations), Oncology (744 citations), Immunology (594 citations), Molecular Biology (1.6k citations) and Biophysics (82 citations). Hae‐Ock Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Woong‐Yang Park, Hye Hyeon Eum, Woosung Chung, Wonshik Han, Sangmin Kim, Jeong Eon Lee, Han‐Byoel Lee, Han Suk Ryu, Yeon Hee Park and Kyung Min Lee. Their work appears in journals such as Oncotarget, Genome Research, Experimental & Molecular Medicine, BMB Reports and FEBS Journal.
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.