Frances Fee

8 papers and 1.2k indexed citations i.

About

Frances Fee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Frances Fee has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Frances Fee’s work include Melanoma and MAPK Pathways (3 papers), NF-κB Signaling Pathways (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Frances Fee is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), NF-κB Signaling Pathways (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Frances Fee collaborates with scholars based in United Kingdom, United States and Germany. Frances Fee's co-authors include Walter Kölch, Rosemary J. Akhurst, Brian W. McFerran, Harald Mischak, Kam C. Yeung, Christian Kaiser, Kostas D. Katsanakis, Shengfeng Li, David W. Rose and Thomas Seitz and has published in prestigious journals such as Nature, Nature Genetics and Journal of Cell Science.

In The Last Decade

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

Fields of papers citing papers by Frances Fee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frances Fee

Since Specialization
Citations

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