Suzanne Camus

583 total citations
10 papers, 470 citations indexed

About

Suzanne Camus is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Suzanne Camus has authored 10 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Biotechnology. Recurrent topics in Suzanne Camus's work include Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Research and Treatments (3 papers). Suzanne Camus is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Research and Treatments (3 papers). Suzanne Camus collaborates with scholars based in United Kingdom, Singapore and United States. Suzanne Camus's co-authors include Sergio Ménendez, David P. Lane, Juan Carlos Izpisúa Belmonte, Sonia Laı́n, Eun‐Woo Lee, Wonkyung Oh, Nam‐Chul Ha, Jaewhan Song, Min-Sik Lee and Jaewang Ghim and has published in prestigious journals such as The EMBO Journal, Oncogene and FEBS Letters.

In The Last Decade

Suzanne Camus

10 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne Camus United Kingdom	10	370	206	78	46	37	10	470
Conception Paul France	10	625 1.7×	152 0.7×	83 1.1×	24 0.5×	30 0.8×	15	705
Naoe Taira Japan	11	544 1.5×	297 1.4×	127 1.6×	39 0.8×	66 1.8×	13	737
Elodie Hatchi France	9	706 1.9×	231 1.1×	101 1.3×	26 0.6×	45 1.2×	9	788
Marion Gayral France	7	282 0.8×	221 1.1×	204 2.6×	43 0.9×	44 1.2×	7	479
Prashant Sharma United States	11	424 1.1×	162 0.8×	55 0.7×	46 1.0×	44 1.2×	21	535
Anne Catherine Bretz Germany	10	356 1.0×	298 1.4×	74 0.9×	21 0.5×	19 0.5×	15	479
Francesco Bonetto United States	10	252 0.7×	205 1.0×	52 0.7×	22 0.5×	30 0.8×	14	426
Asoke K. Mal United States	12	519 1.4×	190 0.9×	61 0.8×	22 0.5×	41 1.1×	14	632
Nicola J. MacLaine United Kingdom	9	293 0.8×	152 0.7×	42 0.5×	34 0.7×	65 1.8×	10	435
Aino Paasinen-Sohns Finland	10	323 0.9×	153 0.7×	138 1.8×	13 0.3×	63 1.7×	13	517

Countries citing papers authored by Suzanne Camus

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne Camus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Camus

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

All Works

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10 of 10 papers shown

Deans, Zandra C., Andrew J. Wallace, Brendan O’Sullivan, et al.. (2013). External quality assessment ofBRAFmolecular analysis in melanoma. Journal of Clinical Pathology. 67(2). 120–124. 12 indexed citations

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

Guo, Lin, Suzanne Camus, Amanda M. Goh, et al.. (2012). Ionizing radiation induces a dramatic persistence of p53 protein accumulation and DNA damage signaling in mutant p53 zebrafish. Oncogene. 32(34). 4009–4016. 30 indexed citations

Ménendez, Sergio, Suzanne Camus, Ida Paramonov, et al.. (2011). Increased dosage of tumor suppressors limits the tumorigenicity of iPS cells without affecting their pluripotency. Aging Cell. 11(1). 41–50. 46 indexed citations

Ménendez, Sergio, et al.. (2011). MDM4 downregulates p53 transcriptional activity and response to stress during differentiation. Cell Cycle. 10(7). 1100–1108. 18 indexed citations

Camus, Suzanne, Celia Quevedo, Sergio Ménendez, et al.. (2011). Identification of phosphorylase kinase as a novel therapeutic target through high-throughput screening for anti-angiogenesis compounds in zebrafish. Oncogene. 31(39). 4333–4342. 40 indexed citations

Ménendez, Sergio, Suzanne Camus, & Juan Carlos Izpisúa Belmonte. (2010). p53: Guardian of reprogramming. Cell Cycle. 9(19). 3887–3891. 64 indexed citations

Lee, Eun‐Woo, Min-Sik Lee, Suzanne Camus, et al.. (2009). Differential regulation of p53 and p21 by MKRN1 E3 ligase controls cell cycle arrest and apoptosis. The EMBO Journal. 28(14). 2100–2113. 131 indexed citations

Camus, Suzanne, Sergio Ménendez, Chit Fang Cheok, et al.. (2007). Ubiquitin-independent degradation of p53 mediated by high-risk human papillomavirus protein E6. Oncogene. 26(28). 4059–4070. 62 indexed citations

10.

Camus, Suzanne, Maureen Higgins, David P. Lane, & Sonia Laı́n. (2003). Differences in the ubiquitination of p53 by Mdm2 and the HPV protein E6. FEBS Letters. 536(1-3). 220–224. 36 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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