Stephanie Westcot
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
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- CRISPR and Genetic Engineering
- Congenital heart defects research
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- Single-cell and spatial transcriptomics 1
- Cancer-related gene regulation 1
- RNA Research and Splicing 1
- RNA modifications and cancer 1
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- Zebrafish Biomedical Research Applications 2
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Stephen C. Ekker (4 shared papers)Victoria M. Bedell (3 shared papers)Karl J. Clark (3 shared papers)Darius Balčiūnas (2 shared papers)Andrew M. Petzold (2 shared papers)Sridhar Sivasubbu (2 shared papers)Tirza Doniger (1 shared paper)Moshe Pritsker (1 shared paper)
- Journals
- Zebrafish (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)Briefings in Functional Genomics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Stephanie Westcot
7 papers receiving 427 citations
Peers
Comparison fields: 5 of 64
- Cell Biology 175
- Molecular Biology 327
- Aging 8
- Genetics 71
- Cellular and Molecular Neuroscience 40
Countries citing papers authored by Stephanie Westcot
This map shows the geographic impact of Stephanie Westcot'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 Stephanie Westcot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Westcot more than expected).
Fields of papers citing papers by Stephanie Westcot
This network shows the impact of papers produced by Stephanie Westcot. 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 Stephanie Westcot. The network helps show where Stephanie Westcot may publish in the future.
Co-authors
The 24 scholars most cited alongside Stephanie Westcot, 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 | 2011 | 138 | |
| 2 | 2011 | 116 | |
| 3 | 2009 | 95 | |
| 4 | 2005 | 66 | |
| 5 | 2015 | 15 | |
| 6 | 2009 | 1 | |
| 7 | 2010 | 1 |
About Stephanie Westcot
Stephanie Westcot is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Zebrafish Biomedical Research Applications (2 papers), Single-cell and spatial transcriptomics (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Cancer-related gene regulation (1 paper), RNA Research and Splicing (1 paper), RNA modifications and cancer (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cell Biology (175 citations), Molecular Biology (327 citations), Aging (8 citations), Genetics (71 citations) and Cellular and Molecular Neuroscience (40 citations). Stephanie Westcot has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Stephen C. Ekker, Victoria M. Bedell, Karl J. Clark, Darius Balčiūnas, Andrew M. Petzold, Sridhar Sivasubbu, Tirza Doniger, Moshe Pritsker, Ihor R. Lemischka and Mark J. Thomas. Their work appears in journals such as Zebrafish, Proceedings of the National Academy of Sciences, Nature Methods, Briefings in Functional Genomics and PLoS ONE.
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.