Chris Armit

18 papers and 416 indexed citations i.

About

Chris Armit is a scholar working on Molecular Biology, Biophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chris Armit has authored 18 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Biophysics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chris Armit’s work include Cell Image Analysis Techniques (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Single-cell and spatial transcriptomics (4 papers). Chris Armit is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Single-cell and spatial transcriptomics (4 papers). Chris Armit collaborates with scholars based in United Kingdom, United States and Australia. Chris Armit's co-authors include Richard Baldock, Wendy J. Brown, Stewart G. Trost, Carrie Ritchie, Lorna Richardson, Bill Hill, Yiya Yang, Nick Burton, Shanmugasundaram Venkataraman and Liz Graham and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Development.

In The Last Decade

Co-authorship network of co-authors of Chris Armit i

Fields of papers citing papers by Chris Armit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Chris Armit

Since Specialization
Citations

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).

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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