Fiona Errington‐Mais
- Genetics top 0.5%
- Oncology top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Infectious Diseases top 2%
- Co-authors
- Alan MelcherKevin J. HarringtonRichard G. VileHardev PandhaRobin PrestwichPeter J. SelbyElizabeth J. IlettMatt Coffey
- Topics
- Virus-based gene therapy research (41 papers)Viral gastroenteritis research and epidemiology (21 papers)CAR-T cell therapy research (16 papers)
- Cited by
- GeneticsBiotechnologyOncology
- Journals
- Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Fiona Errington‐Mais
53 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 89
- Genetics 2.0k
- Oncology 1.6k
- Molecular Biology 1.0k
- Immunology 877
- Infectious Diseases 738
Countries citing papers authored by Fiona Errington‐Mais
This map shows the geographic impact of Fiona Errington‐Mais'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 Fiona Errington‐Mais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Errington‐Mais more than expected).
Fields of papers citing papers by Fiona Errington‐Mais
This network shows the impact of papers produced by Fiona Errington‐Mais. 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 Fiona Errington‐Mais. The network helps show where Fiona Errington‐Mais may publish in the future.
Co-authorship network of co-authors of Fiona Errington‐Mais
This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Errington‐Mais. A scholar is included among the top collaborators of Fiona Errington‐Mais 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 Fiona Errington‐Mais. Fiona Errington‐Mais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 35 | |
| 7 | 38 | |
| 8 | 32 | |
| 9 | 8 | |
| 10 | 46 | |
| 11 | 35 | |
| 12 | 88 | |
| 13 | 86 | |
| 14 | 150 | |
| 15 | 26 | |
| 16 | 150 | |
| 17 | 124 | |
| 18 | 83 | |
| 19 | 33 | |
| 20 | 13 |
About Fiona Errington‐Mais
Fiona Errington‐Mais is a scholar working on Genetics, Biotechnology and Infectious Diseases, having authored 53 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (41 papers), Viral gastroenteritis research and epidemiology (21 papers) and CAR-T cell therapy research (16 papers). The work is most often cited by research in Genetics (2.0k citations), Biotechnology (518 citations) and Oncology (1.6k citations). Fiona Errington‐Mais has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Alan Melcher, Kevin J. Harrington, Richard G. Vile, Hardev Pandha, Robin Prestwich, Peter J. Selby, Elizabeth J. Ilett, Matt Coffey, Lynette P. Steele and Karen J. Scott. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.