Eunice Wan
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
-
- Cancer Genomics and Diagnostics
Papers in
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- Molecular Biology Techniques and Applications 4
- Single-cell and spatial transcriptomics 2
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 2
- Genetics 6
- Ocular Disorders and Treatments 3
- Congenital Ear and Nasal Anomalies 3
- Craniofacial Disorders and Treatments 2
- Co-authors
- Pui–Yan Kwok (10 shared papers)Alexander Marson (2 shared papers)Lenka Maliskova (2 shared papers)Noah Zaitlen (2 shared papers)Cristina Lanata (2 shared papers)Lindsey A. Criswell (2 shared papers)Meena Subramaniam (2 shared papers)Rachel E. Gate (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Nature Biotechnology (2 papers)Nature Methods (1 paper)Human Mutation (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Eunice Wan
13 papers receiving 880 citations
Eunice Wan's Hit Papers
Peers
Comparison fields: 5 of 95
- Biophysics 88
- Cancer Research 159
- Molecular Biology 659
- Immunology 147
- Genetics 123
Countries citing papers authored by Eunice Wan
This map shows the geographic impact of Eunice Wan'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 Eunice Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunice Wan more than expected).
Fields of papers citing papers by Eunice Wan
This network shows the impact of papers produced by Eunice Wan. 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 Eunice Wan. The network helps show where Eunice Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunice Wan, 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 | Multiplexed droplet single-cell RNA-sequencing using natural genetic variation Hit paper breakdown → | 2017 | 525 |
| 2 | 2006 | 89 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 46 | |
| 5 | 2014 | 40 | |
| 6 | 2006 | 34 | |
| 7 | 2015 | 30 | |
| 8 | 2009 | 30 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 10 | |
| 11 | 2020 | 4 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 2 |
About Eunice Wan
Eunice Wan is a scholar working on Molecular Biology, Genetics, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 886 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (4 papers), Ocular Disorders and Treatments (3 papers), Congenital Ear and Nasal Anomalies (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Craniofacial Disorders and Treatments (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biophysics (88 citations), Cancer Research (159 citations), Molecular Biology (659 citations), Immunology (147 citations) and Genetics (123 citations). Eunice Wan has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Pui–Yan Kwok, Alexander Marson, Lenka Maliskova, Noah Zaitlen, Cristina Lanata, Lindsey A. Criswell, Meena Subramaniam, Rachel E. Gate, Elizabeth McCarthy and Sasha Targ. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology, Nature Methods, Human Mutation and The Prostate.
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.