Katherine Eason
Impact in
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- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Surgical Treatments
Papers in
- Oncology 7
- Colorectal Cancer Treatments and Studies 6
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- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Anguraj Sadanandam (11 shared papers)Elisa Fontana (6 shared papers)Andrés Cervantes (2 shared papers)Ramón Salazar (1 shared paper)Yinyin Yuan (1 shared paper)Marco Punta (1 shared paper)Andreas Heindl (1 shared paper)Gift Nyamundanda (7 shared papers)
- Journals
- Annals of Oncology (4 papers)Scientific Reports (2 papers)Cancer Research (2 papers)Cancers (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Katherine Eason
11 papers receiving 178 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 74
- Oncology 112
- Pathology and Forensic Medicine 59
- Hepatology 11
- Molecular Biology 63
Countries citing papers authored by Katherine Eason
This map shows the geographic impact of Katherine Eason'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 Katherine Eason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Eason more than expected).
Fields of papers citing papers by Katherine Eason
This network shows the impact of papers produced by Katherine Eason. 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 Katherine Eason. The network helps show where Katherine Eason may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine Eason, 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 | 2019 | 79 | |
| 2 | 2018 | 30 | |
| 3 | 2019 | 29 | |
| 4 | 2016 | 23 | |
| 5 | 2018 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 0 |
About Katherine Eason
Katherine Eason is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 178 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Genetic factors in colorectal cancer (3 papers), Lung Cancer Treatments and Mutations (2 papers), Molecular Biology Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (74 citations), Oncology (112 citations), Pathology and Forensic Medicine (59 citations), Hepatology (11 citations) and Molecular Biology (63 citations). Katherine Eason has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Anguraj Sadanandam, Elisa Fontana, Andrés Cervantes, Ramón Salazar, Yinyin Yuan, Marco Punta, Andreas Heindl, Gift Nyamundanda, Daniel Nava Rodrigues and Stefano Lise. Their work appears in journals such as Annals of Oncology, Scientific Reports, Cancer Research, Cancers and Journal of Clinical 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.