Emma M. Quinn
- Cancer Research top 1%
- Oncology top 5%
- Genetics top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Janine SalterMitch DowsettAman U. BuzdarJohn ForbesJack CuzickChristopher WaleAnthony HowellIan O. Ellis
- Topics
- HER2/EGFR in Cancer Research (6 papers)Estrogen and related hormone effects (4 papers)Breast Cancer Treatment Studies (4 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Emma M. Quinn
16 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 1.3k
- Oncology 937
- Genetics 535
- Molecular Biology 408
- Pulmonary and Respiratory Medicine 303
Countries citing papers authored by Emma M. Quinn
This map shows the geographic impact of Emma M. Quinn'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 M. Quinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma M. Quinn more than expected).
Fields of papers citing papers by Emma M. Quinn
This network shows the impact of papers produced by Emma M. Quinn. 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 M. Quinn. The network helps show where Emma M. Quinn may publish in the future.
Co-authorship network of co-authors of Emma M. Quinn
This figure shows the co-authorship network connecting the top 25 collaborators of Emma M. Quinn. A scholar is included among the top collaborators of Emma M. Quinn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emma M. Quinn. Emma M. Quinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 121 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 91 | |
| 10 | Prognostic Value of a Combined Estrogen Receptor, Progesterone Receptor, Ki-67, and Human Epidermal Growth Factor Receptor 2 Immunohistochemical Score and Comparison With the Genomic Health Recurrence Score in Early Breast Cancerbreakdown → | 540 |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 49 | |
| 14 | Prediction of Risk of Distant Recurrence Using the 21-Gene Recurrence Score in Node-Negative and Node-Positive Postmenopausal Patients With Breast Cancer Treated With Anastrozole or Tamoxifen: A TransATAC Studybreakdown → | 546 |
| 15 | 36 | |
| 16 | 335 | |
| 17 | 3 | |
| 18 | 37 |
About Emma M. Quinn
Emma M. Quinn is a scholar working on Gastroenterology, Cancer Research and Immunology and Allergy, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Estrogen and related hormone effects (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (937 citations) and Genetics (535 citations). Emma M. Quinn has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Janine Salter, Mitch Dowsett, Aman U. Buzdar, John Forbes, Jack Cuzick, Christopher Wale, Anthony Howell, Ian O. Ellis, Lila Zabaglo and Sílvia Pineda. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology 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.