Fiona Errington‐Mais

4.1k citations
53 papers · 2.9k indexed · h-index 33
  • Genetics top 0.5%
    • Virus-based gene therapy research 41
  • Biotechnology top 0.5%
    • Cancer Research and Treatments 13
  • Oncology top 2%
    • CAR-T cell therapy research 16
  • Immunology top 5%
    • Immunotherapy and Immune Responses 15
    • Immune Cell Function and Interaction 6
    • Viral gastroenteritis research and epidemiology 21
    • RNA Interference and Gene Delivery 11
    • Cancer therapeutics and mechanisms 4

Fiona Errington‐Mais

53 papers receiving 2.8k citations

Peers

Fiona Errington‐Mais
Comparison fields: 5 of 89
  • Genetics 2.0k
  • Biotechnology 518
  • Oncology 1.6k
  • Immunology 877
  • Infectious Diseases 738
Replace Frederick J. Kohlhapp with:
Frederick J. Kohlhapp United States
Katherine L. Molnar-Kimber United States
Sebastian Kreiter Germany
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Łukasz Kuryk Poland
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Fiona Errington‐Mais relative to Frederick J. Kohlhapp United States Frederick J. Kohlhapp's profile →
Citations per field
00.5×3.1×
Frederick J. Kohlhapp · 1×
Citations per year

Countries citing papers authored by Fiona Errington‐Mais

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Fiona Errington‐Mais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fiona Errington‐Mais Line = papers co-authored together Fiona Errington‐Mais links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20245
3 20244
4 20234
5 202114
6 201535
7 201538
8 201532
9 20148
10 201246
11 201235
12 200888
13 200886
14 2008150
15 200826
16 2008150
17 2008124
18 200783
19 200233
20 199913

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), CAR-T cell therapy research (16 papers), Immunotherapy and Immune Responses (15 papers), Cancer Research and Treatments (13 papers), RNA Interference and Gene Delivery (11 papers), Immune Cell Function and Interaction (6 papers) and Cancer therapeutics and mechanisms (4 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.

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