Eunhee Yi
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
-
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
Papers in
-
- Epigenetics and DNA Methylation 5
- Single-cell and spatial transcriptomics 2
-
- Cancer Genomics and Diagnostics 7
- Co-authors
- Roel G.W. Verhaak (6 shared papers)Hoon Kim (3 shared papers)Amit D. Gujar (5 shared papers)Anton G. Henssen (3 shared papers)Jihe Liu (2 shared papers)Samirkumar B. Amin (3 shared papers)Vineet Bafna (1 shared paper)Sihan Wu (1 shared paper)
- Journals
- Cancers (2 papers)Cancer Cell (2 papers)Journal of Thoracic and Cardiovascular Surgery (1 paper)Nature Genetics (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Eunhee Yi
12 papers receiving 768 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Cancer Research 446
- Molecular Biology 474
- Oncology 131
- Pathology and Forensic Medicine 80
- Immunology 87
Countries citing papers authored by Eunhee Yi
This map shows the geographic impact of Eunhee Yi'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 Eunhee Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunhee Yi more than expected).
Fields of papers citing papers by Eunhee Yi
This network shows the impact of papers produced by Eunhee Yi. 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 Eunhee Yi. The network helps show where Eunhee Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunhee Yi, 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 | Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers Hit paper breakdown → | 2020 | 260 |
| 2 | 2021 | 144 | |
| 3 | Senescent alveolar macrophages promote early-stage lung tumorigenesis Hit paper breakdown → | 2023 | 109 |
| 4 | 2021 | 89 | |
| 5 | 2019 | 58 | |
| 6 | 2022 | 53 | |
| 7 | 2012 | 26 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2022 | 0 |
About Eunhee Yi
Eunhee Yi is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine, having authored 16 papers that have together received 768 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (5 papers), Single-cell and spatial transcriptomics (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Genetic factors in colorectal cancer (2 papers), Virus-based gene therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (446 citations), Molecular Biology (474 citations), Oncology (131 citations), Pathology and Forensic Medicine (80 citations) and Immunology (87 citations). Eunhee Yi has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Roel G.W. Verhaak, Hoon Kim, Amit D. Gujar, Anton G. Henssen, Jihe Liu, Samirkumar B. Amin, Vineet Bafna, Sihan Wu, Nam Nguyen and Rocío Chamorro González. Their work appears in journals such as Cancers, Cancer Cell, Journal of Thoracic and Cardiovascular Surgery, Nature Genetics and Journal of Thoracic Oncology.
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.