Kenneth Fernandes

2.9k total citations · 2 hit papers
26 papers, 2.3k citations indexed

About

Kenneth Fernandes is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kenneth Fernandes has authored 26 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Oncology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kenneth Fernandes's work include Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (6 papers) and Cancer Research and Treatments (5 papers). Kenneth Fernandes is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (6 papers) and Cancer Research and Treatments (5 papers). Kenneth Fernandes collaborates with scholars based in United Kingdom, United States and France. Kenneth Fernandes's co-authors include Jean‐Christophe Bourdon, David P. Lane, Alexandra Diot, Mark K. Saville, Geng Liu, Dimitris P. Xirodimas, Lorraine Young, C. Carolan, John J. Robinson and Carlos G. Gutiérrez and has published in prestigious journals such as Nature Genetics, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Kenneth Fernandes

25 papers receiving 2.2k citations

Hit Papers

Epigenetic change in IGF2R is associated with fetal overg... 2001 2026 2009 2017 2001 2005 200 400 600

Peers

Kenneth Fernandes
Kathrin M. Bernt United States
Huiling Xu Australia
Srividya Swaminathan United States
P. H. Fitzgerald New Zealand
Li Chong Chan Hong Kong
Richard A. DiCioccio United States
Kathrin M. Bernt United States
Kenneth Fernandes
Citations per year, relative to Kenneth Fernandes Kenneth Fernandes (= 1×) peers Kathrin M. Bernt

Countries citing papers authored by Kenneth Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Fernandes

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Fernandes. A scholar is included among the top collaborators of Kenneth Fernandes 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 Kenneth Fernandes. Kenneth Fernandes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McHugh, Angela, Kenneth Fernandes, Adel F.M. Ibrahim, et al.. (2019). The Identification of Potential Therapeutic Targets for Cutaneous Squamous Cell Carcinoma. Journal of Investigative Dermatology. 140(6). 1154–1165.e5. 12 indexed citations
2.
McHugh, Angela, Kenneth Fernandes, Andrew P. South, et al.. (2018). Preclinical comparison of proteasome and ubiquitin E1 enzyme inhibitors in cutaneous squamous cell carcinoma: the identification of mechanisms of differential sensitivity. Oncotarget. 9(29). 20265–20281. 21 indexed citations
3.
Gadéa, Gilles, Nikola Arsic, Kenneth Fernandes, et al.. (2016). TP53 drives invasion through expression of its Δ133p53β variant. eLife. 5. 50 indexed citations
4.
Camus, Suzanne, Sergio Ménendez, Kenneth Fernandes, et al.. (2012). The p53 isoforms are differentially modified by Mdm2. Cell Cycle. 11(8). 1646–1655. 31 indexed citations
5.
Khoury, Marie P., Virginie Marcel, Kenneth Fernandes, et al.. (2012). Detecting and Quantifying p53 Isoforms at mRNA Level in Cell Lines and Tissues. Methods in molecular biology. 962. 1–14. 12 indexed citations
6.
Marcel, Virginie, Marie P. Khoury, Kenneth Fernandes, et al.. (2012). Detecting p53 Isoforms at Protein Level. Methods in molecular biology. 962. 15–29. 18 indexed citations
7.
Marcel, Virginie, Isabelle Petit, Théo Goullet de Rugy, et al.. (2011). Diverse p63 and p73 isoforms regulate Δ133p53 expression through modulation of the internal TP53 promoter activity. Cell Death and Differentiation. 19(5). 816–826. 48 indexed citations
8.
Bourdon, Jean‐Christophe, Marie P. Khoury, Alexandra Diot, et al.. (2011). p53 mutant breast cancer patients expressing p53γ have as good a prognosis as wild-type p53 breast cancer patients. Breast Cancer Research. 13(1). R7–R7. 85 indexed citations
9.
Marcel, Virginie, Stéphane Perrier, Mustapha Aoubala, et al.. (2010). Δ160p53 is a novel N‐terminal p53 isoform encoded by Δ133p53 transcript. FEBS Letters. 584(21). 4463–4468. 105 indexed citations
10.
Aoubala, Mustapha, Kenneth Fernandes, Sébastien Perrier, et al.. (2010). p53 directly transactivates Δ133p53α, regulating cell fate outcome in response to DNA damage. Cell Death and Differentiation. 18(2). 248–258. 99 indexed citations
11.
Dudgeon, Crissy, Calvina Kek, Oleg N. Demidov, et al.. (2006). Tumor Susceptibility and Apoptosis Defect in a Mouse Strain Expressing a Human p53 Transgene. Cancer Research. 66(6). 2928–2936. 18 indexed citations
12.
Bourdon, Jean‐Christophe, Kenneth Fernandes, Geng Liu, et al.. (2005). p53 isoforms can regulate p53 transcriptional activity. Genes & Development. 19(18). 2122–2137. 631 indexed citations breakdown →
13.
Young, Lorraine, Angelika Schnieke, Kenneth J. McCreath, et al.. (2003). Conservation of IGF2-H19 and IGF2R imprinting in sheep: effects of somatic cell nuclear transfer. Mechanisms of Development. 120(12). 1433–1442. 96 indexed citations
14.
Bourdon, Jean‐Christophe, et al.. (2002). Scotin, a novel p53-inducible proapoptotic protein located in the ER and the nuclear membrane. The Journal of Cell Biology. 158(2). 235–246. 93 indexed citations
15.
Young, Lorraine, Kenneth Fernandes, Carlos G. Gutiérrez, et al.. (2001). Epigenetic change in IGF2R is associated with fetal overgrowth after sheep embryo culture. Nature Genetics. 27(2). 153–154. 634 indexed citations breakdown →
16.
Chang, Kin‐Chow & Kenneth Fernandes. (1997). Developmental Expression and 5′ Cloning of the Porcine 2x and 2b Myosin Heavy Chain Genes. DNA and Cell Biology. 16(12). 1429–1437. 42 indexed citations
17.
Chang, Kin‐Chow, Kenneth Fernandes, & Peter D. Chantler. (1995). Cloning and in vivo expression of the pig MyoD gene. Journal of Muscle Research and Cell Motility. 16(3). 243–247. 8 indexed citations
18.
Chang, Kin‐Chow, et al.. (1995). Molecular characterization of a developmentally regulated porcine skeletal myosin heavy chain gene and its 5′ regulatory region. Journal of Cell Science. 108(4). 1779–1789. 27 indexed citations
19.
Chang, Kin‐Chow, Kenneth Fernandes, & Geoffrey Goldspink. (1993). In vivo expression and molecular characterization of the porcine slow myosin heavy chain. Journal of Cell Science. 106(1). 331–341. 26 indexed citations
20.
Hansen, Ekkehard, Kenneth Fernandes, G. Goldspink, et al.. (1991). Strong expression of foreign genes following direct injection into fish muscle. FEBS Letters. 290(1-2). 73–76. 103 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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