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
- Mechanisms of cancer metastasis
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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
- Signaling Pathways in Disease 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Cancer-related Molecular Pathways 1
- Co-authors
- Walter Kölch (3 shared papers)Rosemary J. Akhurst (3 shared papers)Brian W. McFerran (2 shared papers)David W. Rose (1 shared paper)Petra Janosch (1 shared paper)Thomas Seitz (1 shared paper)Kostas D. Katsanakis (1 shared paper)Harald Mischak (1 shared paper)
- Journals
- Nature (2 papers)Molecular Carcinogenesis (1 paper)Nature Genetics (1 paper)EMBO Reports (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Frances Fee
8 papers receiving 1.2k citations
Frances Fee's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 983
- Pathology and Forensic Medicine 235
- Cell Biology 154
- Oncology 225
- Cancer Research 124
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 | 706 |
| 2 | 1988 | 235 | |
| 3 | 2009 | 138 | |
| 4 | 1995 | 108 | |
| 5 | 2009 | 34 | |
| 6 | Molecular analysis of chemical carcinogenesis in the skin. | 1988 | 20 |
| 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 1.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), TGF-β signaling in diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), NF-κB Signaling Pathways (2 papers), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Computational Drug Discovery Methods (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (983 citations), Pathology and Forensic Medicine (235 citations), Cell Biology (154 citations), Oncology (225 citations) and Cancer Research (124 citations). Frances Fee has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Walter Kölch, Rosemary J. Akhurst, Brian W. McFerran, David W. Rose, Petra Janosch, Thomas Seitz, Kostas D. Katsanakis, Harald Mischak, John M. Sedivy and Kam C. Yeung. Their work appears in journals such as Nature, Molecular Carcinogenesis, Nature Genetics, EMBO Reports and Journal of Cell Science.
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.