Chris Armit
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Pluripotent Stem Cells Research
- Renal and related cancers
- Single-cell and spatial transcriptomics
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
Papers in
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- Biomedical Text Mining and Ontologies 6
- Single-cell and spatial transcriptomics 5
- Renal and related cancers 3
- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Gene expression and cancer classification 2
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- Cell Image Analysis Techniques 6
- Co-authors
- Richard Baldock (12 shared papers)Stewart G. Trost (1 shared paper)Lorna Richardson (7 shared papers)Wendy J. Brown (1 shared paper)Carrie Ritchie (1 shared paper)Bill Hill (5 shared papers)Yiya Yang (4 shared papers)Shanmugasundaram Venkataraman (5 shared papers)
- Journals
- Development (4 papers)Mammalian Genome (2 papers)GigaScience (2 papers)Database (2 papers)Developmental Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Chris Armit
21 papers receiving 458 citations
Peers
Comparison fields: 5 of 101
- Biophysics 29
- Molecular Biology 263
- Developmental Neuroscience 8
- Molecular Medicine 10
- Biomedical Engineering 90
Countries citing papers authored by Chris Armit
This map shows the geographic impact of Chris Armit'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 Chris Armit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Armit more than expected).
Fields of papers citing papers by Chris Armit
This network shows the impact of papers produced by Chris Armit. 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 Chris Armit. The network helps show where Chris Armit may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Armit, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 116 | |
| 2 | 2013 | 107 | |
| 3 | 2005 | 81 | |
| 4 | 2012 | 30 | |
| 5 | 2017 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2012 | 10 | |
| 10 | 2002 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2007 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2015 | 1 |
About Chris Armit
Chris Armit is a scholar working on Molecular Biology, Biophysics, Pulmonary and Respiratory Medicine, Information Systems and Management and Surgery, having authored 22 papers that have together received 468 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Biomedical Text Mining and Ontologies (6 papers), Single-cell and spatial transcriptomics (5 papers), Renal and related cancers (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Renal cell carcinoma treatment (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biophysics (29 citations), Molecular Biology (263 citations), Developmental Neuroscience (8 citations), Molecular Medicine (10 citations) and Biomedical Engineering (90 citations). Chris Armit has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard Baldock, Stewart G. Trost, Lorna Richardson, Wendy J. Brown, Carrie Ritchie, Bill Hill, Yiya Yang, Shanmugasundaram Venkataraman, Liz Graham and Julie Moss. Their work appears in journals such as Development, Mammalian Genome, GigaScience, Database and Developmental Biology.
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.