Frances Fee

1.6k total citations · 1 hit paper
8 papers, 1.2k citations indexed

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), Protein Kinase Regulation and GTPase Signaling (2 papers) and TGF-β signaling in diseases (2 papers). Frances Fee is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and TGF-β signaling in diseases (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, Christian Kaiser, Kam C. Yeung, David W. Rose, Harald Mischak, John M. Sedivy, Shengfeng Li and Petra Janosch and has published in prestigious journals such as Nature, Nature Genetics and Journal of Cell Science.

In The Last Decade

Frances Fee

8 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Suppression of Raf-1 kinase activity and MAP kinase signalling by RKIP

1999 706 citations Kam C. Yeung, Thomas Seitz et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Frances Fee United Kingdom	7	983	235	225	154	124	8	1.2k
Kostas D. Katsanakis United Kingdom	7	806 0.8×	224 1.0×	158 0.7×	143 0.9×	106 0.9×	7	1.0k
Thomas Seitz Switzerland	6	819 0.8×	220 0.9×	149 0.7×	97 0.6×	109 0.9×	6	1.0k
Deborah Chadee United States	21	1.1k 1.1×	122 0.5×	254 1.1×	229 1.5×	184 1.5×	39	1.4k
Inken Wierstra Germany	13	989 1.0×	132 0.6×	205 0.9×	111 0.7×	184 1.5×	15	1.2k
Christine Cheng United States	16	878 0.9×	114 0.5×	220 1.0×	143 0.9×	214 1.7×	20	1.4k
Petra Janosch Germany	11	1.6k 1.6×	378 1.6×	330 1.5×	191 1.2×	197 1.6×	11	2.0k
Laurie J. Reichling United States	5	1.2k 1.3×	100 0.4×	127 0.6×	219 1.4×	109 0.9×	8	1.6k
Clive Mason United Kingdom	13	1.6k 1.6×	171 0.7×	336 1.5×	307 2.0×	118 1.0×	21	1.9k
Bruno D. Fonseca Canada	15	1.6k 1.7×	118 0.5×	208 0.9×	174 1.1×	235 1.9×	16	2.1k
Gunamani Sithanandam United States	18	1.2k 1.2×	98 0.4×	421 1.9×	172 1.1×	174 1.4×	21	1.6k

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).

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.

Co-authorship network of co-authors of Frances Fee

This figure shows the co-authorship network connecting the top 25 collaborators of Frances Fee. A scholar is included among the top collaborators of Frances Fee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frances Fee. Frances Fee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Garcia, Reynaldo L., Joan Grindlay, Oliver Rath, Frances Fee, & Walter Kölch. (2009). Regulation of human myoblast differentiation by PEBP4. EMBO Reports. 10(3). 278–284. 34 indexed citations

2.

Shin, Sung‐Young, Oliver Rath, Sang‐Mok Choo, et al.. (2009). Positive- and negative-feedback regulations coordinate the dynamic behavior of the Ras-Raf-MEK-ERK signal transduction pathway. Journal of Cell Science. 122(3). 425–435. 138 indexed citations

3.

Yeung, Kam C., Thomas Seitz, Shengfeng Li, et al.. (1999). Suppression of Raf-1 kinase activity and MAP kinase signalling by RKIP. Nature. 401(6749). 173–177. 706 indexed citations breakdown →

4.

Nagase, Hiroki, Sheila Bryson, Heather J. Cordell, et al.. (1995). Distinct genetic loci control development of benign and malignant skin tumours in mice. Nature Genetics. 10(4). 424–429. 108 indexed citations

5.

Plumb, Mark, Jean‐Baptiste Telliez, Frances Fee, et al.. (1991). Structural analysis of the mouse c‐HA‐ras gene promoter. Molecular Carcinogenesis. 4(2). 103–111. 6 indexed citations

6.

Akhurst, Rosemary J., Sigrid A. Lehnert, Frances Fee, & Allan Balmain. (1989). The role of transforming growth factor-β in mouse development and carcinogenesis. Biochemical Society Transactions. 17(3). 595–597. 2 indexed citations

7.

Akhurst, Rosemary J., et al.. (1988). Localized production of TGF-β mRNA in tumour promoter-stimulated mouse epidermis. Nature. 331(6154). 363–365. 235 indexed citations

8.

Balmain, Allan, K. Brown, Rosemary J. Akhurst, & Frances Fee. (1988). Molecular analysis of chemical carcinogenesis in the skin.. PubMed. 9. 72–5. 20 indexed citations

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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