Frances Fee
Impact in
- Molecular Biology top 10%
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- TGF-β signaling in diseases
- Gene Regulatory Network Analysis
- Cell death mechanisms and regulation
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- Cancer Mechanisms and Therapy
Papers in
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- Melanoma and MAPK Pathways 3
- TGF-β signaling in diseases 2
- Protein Kinase Regulation and GTPase Signaling 2
- DNA Repair Mechanisms 1
- Cell death mechanisms and regulation 1
- Signaling Pathways in Disease 1
- Oncology 2
- Co-authors
- Rosemary J. Akhurst (3 shared papers)Walter Kölch (3 shared papers)Brian W. McFerran (2 shared papers)David W. Rose (1 shared paper)Christian Kaiser (1 shared paper)Shengfeng Li (1 shared paper)Kostas D. Katsanakis (1 shared paper)John M. Sedivy (1 shared paper)
- Journals
- Nature (2 papers)Journal of Cell Science (1 paper)Biochemical Society Transactions (1 paper)Nature Genetics (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Frances Fee
8 papers receiving 1.3k citations
Frances Fee's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 999
- Pathology and Forensic Medicine 203
- Cell Biology 157
- Cancer Research 123
- Oncology 210
Countries citing papers authored by Frances Fee
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).
Fields of papers citing papers by Frances Fee
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.
Co-authors
The 25 scholars most cited alongside Frances Fee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Suppression of Raf-1 kinase activity and MAP kinase signalling by RKIP Hit paper breakdown → | 1999 | 746 |
| 2 | 1988 | 251 | |
| 3 | 2009 | 143 | |
| 4 | 1995 | 113 | |
| 5 | 2009 | 34 | |
| 6 | Molecular analysis of chemical carcinogenesis in the skin. | 1988 | 22 |
| 7 | 1991 | 6 | |
| 8 | 1989 | 2 |
About Frances Fee
Frances Fee is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pathology and Forensic Medicine, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), NF-κB Signaling Pathways (2 papers), TGF-β signaling in diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Mechanisms and Therapy (1 paper), DNA Repair Mechanisms (1 paper), Cell death mechanisms and regulation (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Molecular Biology (999 citations), Pathology and Forensic Medicine (203 citations), Cell Biology (157 citations), Cancer Research (123 citations) and Oncology (210 citations). Frances Fee has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Rosemary J. Akhurst, Walter Kölch, Brian W. McFerran, David W. Rose, Christian Kaiser, Shengfeng Li, Kostas D. Katsanakis, John M. Sedivy, Kam C. Yeung and Harald Mischak. Their work appears in journals such as Nature, Journal of Cell Science, Biochemical Society Transactions, Nature Genetics and Molecular Carcinogenesis.
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.