Emily Eugster
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- CAR-T cell therapy research 2
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- Pluripotent Stem Cells Research 2
- Glycosylation and Glycoproteins Research 1
- Single-cell and spatial transcriptomics 1
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- Sarcoma Diagnosis and Treatment 3
- Veterinary Oncology Research 2
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- Virus-based gene therapy research 2
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- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Craig P. WebbDavid CherbaNoel R. MonksJ. MillerBrian B. HaabMichael E. BerensNhan L. TranVenkateshwar G. Keshamouni
- Cited by
- Cancer ResearchOncologyBiotechnology
- Journals
- Journal of Translational Medicine (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSwedenNew Zealand
In The Last Decade
Emily Eugster
15 papers receiving 332 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 67
- Oncology 104
- Biotechnology 30
- Molecular Biology 179
- Cell Biology 39
Countries citing papers authored by Emily Eugster
This map shows the geographic impact of Emily Eugster'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 Emily Eugster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Eugster more than expected).
Fields of papers citing papers by Emily Eugster
This network shows the impact of papers produced by Emily Eugster. 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 Emily Eugster. The network helps show where Emily Eugster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emily Eugster, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 3 | |
| 6 | Melanoma patient derived xenografts acquire distinct Vemurafenib resistance mechanisms. | 2015 | 21 |
| 7 | 2014 | 16 | |
| 8 | 2013 | 47 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2012 | 55 | |
| 12 | 2011 | 1 | |
| 13 | 2010 | 88 | |
| 14 | 2009 | 18 | |
| 15 | 2009 | 1 | |
| 16 | 2002 | 22 |
About Emily Eugster
Emily Eugster is a scholar working on Molecular Biology, Genetics, Cancer Research, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), Virus-based gene therapy research (2 papers), Pluripotent Stem Cells Research (2 papers), CAR-T cell therapy research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Veterinary Oncology Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (67 citations), Oncology (104 citations), Biotechnology (30 citations), Molecular Biology (179 citations) and Cell Biology (39 citations). Emily Eugster has collaborated with scholars based in United States, Sweden and New Zealand. Frequent co-authors include Craig P. Webb, David Cherba, Noel R. Monks, J. Miller, Brian B. Haab, Michael E. Berens, Nhan L. Tran, Venkateshwar G. Keshamouni, Julianna T.D. Ross and Kevin A. Maupin. Their work appears in journals such as Journal of Translational Medicine, American Journal of Physiology-Heart and Circulatory Physiology, PLoS ONE, Nature Communications and Cellular Reprogramming.
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.