Nancy George
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Single-cell and spatial transcriptomics 4
- Molecular Biology Techniques and Applications 3
- Metabolomics and Mass Spectrometry Studies 2
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Bioinformatics and Genomic Networks 1
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Irene Papatheodorou (8 shared papers)Alvis Brāzma (3 shared papers)Uğis Sarkans (2 shared papers)Anja Füllgrabe (2 shared papers)Ahmed Yousif Ali (2 shared papers)Haider Iqbal (2 shared papers)Awais Athar (2 shared papers)Catherine Snow (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Developmental Cell (1 paper)Journal of Animal Science (1 paper)PLoS Computational Biology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Nancy George
8 papers receiving 680 citations
Nancy George's Hit Papers
Peers
Comparison fields: 5 of 83
- Aging 13
- Cell Biology 112
- Molecular Biology 459
- Cancer Research 79
- Biophysics 28
Countries citing papers authored by Nancy George
This map shows the geographic impact of Nancy George'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 Nancy George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy George more than expected).
Fields of papers citing papers by Nancy George
This network shows the impact of papers produced by Nancy George. 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 Nancy George. The network helps show where Nancy George may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy George, 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 | ArrayExpress update – from bulk to single-cell expression data Hit paper breakdown → | 2018 | 385 |
| 2 | 2013 | 177 | |
| 3 | 2020 | 66 | |
| 4 | 2022 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 0 |
About Nancy George
Nancy George is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Neurology and Cell Biology, having authored 9 papers that have together received 684 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Molecular Biology Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper), Pluripotent Stem Cells Research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Aging (13 citations), Cell Biology (112 citations), Molecular Biology (459 citations), Cancer Research (79 citations) and Biophysics (28 citations). Nancy George has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Irene Papatheodorou, Alvis Brāzma, Uğis Sarkans, Anja Füllgrabe, Ahmed Yousif Ali, Haider Iqbal, Awais Athar, Catherine Snow, Robert Petryszak and Laura Huerta. Their work appears in journals such as Nucleic Acids Research, Developmental Cell, Journal of Animal Science, PLoS Computational Biology and Frontiers in Immunology.
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.