Alison S. Devonshire

1.8k citations
25 papers · 729 · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
    • Molecular Biology Techniques and Applications
    • Single-cell and spatial transcriptomics
    • Advanced biosensing and bioanalysis techniques
    • Epigenetics and DNA Methylation

Papers in

    • Molecular Biology Techniques and Applications 15
    • Single-cell and spatial transcriptomics 5
    • Advanced biosensing and bioanalysis techniques 4
    • RNA Research and Splicing 4
    • Gene expression and cancer classification 3
    • Biosensors and Analytical Detection 4

Alison S. Devonshire

23 papers receiving 708 citations

Peers

Alison S. Devonshire
Comparison fields: 5 of 93
  • Cancer Research 250
  • Molecular Biology 424
  • Hepatology 44
  • Biomedical Engineering 164
  • Infectious Diseases 67
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Citations per field
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Citations per year

Countries citing papers authored by Alison S. Devonshire

Since Specialization
Citations

This map shows the geographic impact of Alison S. Devonshire'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 Alison S. Devonshire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison S. Devonshire more than expected).

Fields of papers citing papers by Alison S. Devonshire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison S. Devonshire. 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 Alison S. Devonshire. The network helps show where Alison S. Devonshire may publish in the future.

Co-authors

The 25 scholars most cited alongside Alison S. Devonshire, 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 Alison S. Devonshire Line = papers co-authored together Alison S. Devonshire links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014234
2 201579
3 201164
4 201255
5 201638
6 201436
7 201034
8 201434
9 201133
10 201726
11 201024
12 201217
13 20109
14 20158
15 20117
16 20217
17 20186
18 20145
19 20224
20 20234

About Alison S. Devonshire

Alison S. Devonshire is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Epidemiology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 729 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (15 papers), Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Research and Splicing (4 papers), Biosensors and Analytical Detection (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (250 citations), Molecular Biology (424 citations), Hepatology (44 citations), Biomedical Engineering (164 citations) and Infectious Diseases (67 citations). Alison S. Devonshire has collaborated with scholars based in United Kingdom, Germany and Slovenia. Frequent co-authors include Carole A. Foy, Jim F. Huggett, Gerwyn M. Jones, Alexandra S. Whale, Alice Gutteridge, Simon Cowen, Martin S. Taylor, Damian Marshall, Bridget C. Fox and Marc‐Olivier Baradez. Their work appears in journals such as BMC Genomics, Analytical and Bioanalytical Chemistry, New Biotechnology, Analytical Biochemistry and Methods.

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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