John Fee

8 papers and 132 indexed citations i.

About

John Fee is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John Fee has authored 8 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John Fee’s work include CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers) and Plant Reproductive Biology (1 paper). John Fee is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers) and Plant Reproductive Biology (1 paper). John Fee collaborates with scholars based in Canada, United Kingdom and Australia. John Fee's co-authors include Samuel Aparício, Steven McKinney, Damian Yap, Steven S.S. Poon, Gulisa Turashvili, Xavier d’Anglemont de Tassigny, Teresa Ruiz de Algara, Leah Prentice, William H Colledge and Marco A. Marra and has published in prestigious journals such as PLoS ONE, Cancer Research and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of John Fee i

Fields of papers citing papers by John Fee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Fee. 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 John Fee. The network helps show where John Fee may publish in the future.

Countries citing papers authored by John Fee

Since Specialization
Citations

This map shows the geographic impact of John Fee'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 John Fee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Fee 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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2025