Emma Nolan
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 12
- Cancer Cells and Metastasis 6
- Cytokine Signaling Pathways and Interactions 3
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- Single-cell and spatial transcriptomics 3
- DNA Repair Mechanisms 2
- Co-authors
- Jane E. Visvader (6 shared papers)Geoffrey J. Lindeman (7 shared papers)Nai Yang Fu (2 shared papers)Ilaria Malanchi (6 shared papers)Lachlan Whitehead (4 shared papers)Gordon K. Smyth (4 shared papers)François Vaillant (2 shared papers)Bhupinder Pal (4 shared papers)
- Journals
- Cancer Research (3 papers)Molecular Neurodegeneration (1 paper)iScience (1 paper)Journal of Clinical Oncology (1 paper)Nature Cancer (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Emma Nolan
23 papers receiving 1.4k citations
Emma Nolan's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 343
- Oncology 612
- Immunology 259
- Molecular Biology 634
- Biophysics 51
Countries citing papers authored by Emma Nolan
This map shows the geographic impact of Emma Nolan'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 Emma Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Nolan more than expected).
Fields of papers citing papers by Emma Nolan
This network shows the impact of papers produced by Emma Nolan. 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 Emma Nolan. The network helps show where Emma Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Emma Nolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deciphering breast cancer: from biology to the clinic Hit paper breakdown → | 2023 | 412 |
| 2 | 2016 | 190 | |
| 3 | 2019 | 153 | |
| 4 | 2019 | 140 | |
| 5 | 2019 | 127 | |
| 6 | 2020 | 94 | |
| 7 | 2022 | 86 | |
| 8 | 2016 | 82 | |
| 9 | 2008 | 32 | |
| 10 | 2017 | 28 | |
| 11 | 2021 | 26 | |
| 12 | 2023 | 23 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 12 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 1 |
About Emma Nolan
Emma Nolan is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Single-cell and spatial transcriptomics (3 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), DNA Repair Mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (343 citations), Oncology (612 citations), Immunology (259 citations), Molecular Biology (634 citations) and Biophysics (51 citations). Emma Nolan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jane E. Visvader, Geoffrey J. Lindeman, Nai Yang Fu, Ilaria Malanchi, Lachlan Whitehead, Gordon K. Smyth, François Vaillant, Bhupinder Pal, Victoria L. Bridgeman and Luigi Ombrato. Their work appears in journals such as Cancer Research, Molecular Neurodegeneration, iScience, Journal of Clinical Oncology and Nature Cancer.
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.