Heehyoung Lee
- Molecular Biology top 2%
- Oncology top 0.5%
- Immunology top 1%
- Cancer Research top 1%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Hua YuAndreas HerrmannRichard JoveRalf BuettnerMaciej KujawskiMarcin KortylewskiJiehui DengStephen J. Forman
- Topics
- Cytokine Signaling Pathways and Interactions (15 papers)Immune Cell Function and Interaction (6 papers)Cancer Immunotherapy and Biomarkers (4 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaIndia
In The Last Decade
Heehyoung Lee
26 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 3.0k
- Oncology 3.0k
- Immunology 2.1k
- Cancer Research 1.6k
- Pathology and Forensic Medicine 717
Countries citing papers authored by Heehyoung Lee
This map shows the geographic impact of Heehyoung 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 Heehyoung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heehyoung Lee more than expected).
Fields of papers citing papers by Heehyoung Lee
This network shows the impact of papers produced by Heehyoung 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 Heehyoung Lee. The network helps show where Heehyoung Lee may publish in the future.
Co-authorship network of co-authors of Heehyoung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Heehyoung Lee. A scholar is included among the top collaborators of Heehyoung 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 Heehyoung Lee. Heehyoung 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 | 32 | |
| 2 | 150 | |
| 3 | 38 | |
| 4 | 19 | |
| 5 | JAK/STAT3-Regulated Fatty Acid β-Oxidation Is Critical for Breast Cancer Stem Cell Self-Renewal and Chemoresistancebreakdown → | 636 |
| 6 | 114 | |
| 7 | 60 | |
| 8 | 87 | |
| 9 | 48 | |
| 10 | 51 | |
| 11 | 128 | |
| 12 | 201 | |
| 13 | 17 | |
| 14 | 110 | |
| 15 | 319 | |
| 16 | Persistently Activated Stat3 Maintains Constitutive NF-κB Activity in Tumorsbreakdown → | 558 |
| 17 | 302 | |
| 18 | 382 | |
| 19 | 151 | |
| 20 | 470 |
About Heehyoung Lee
Heehyoung Lee is a scholar working on Immunology, Oncology and Cancer Research, having authored 26 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Immune Cell Function and Interaction (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Oncology (3.0k citations), Cancer Research (1.6k citations) and Immunology (2.1k citations). Heehyoung Lee has collaborated with scholars based in United States, China and India. Frequent co-authors include Hua Yu, Andreas Herrmann, Richard Jove, Ralf Buettner, Maciej Kujawski, Marcin Kortylewski, Jiehui Deng, Stephen J. Forman, Drew M. Pardoll and H. David Kay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.