Magali Olivier

Molecular Biology · 2002–2016

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 55 citations into it; #8,744 of 17,773 by trust here, #4,050 by citations
• Oncology — 41 citations into it; #623 of 1,698 by trust here, #416 by citations
• Biotechnology — 16 citations into it
• Cancer Research — 13 citations into it; #725 of 1,780 by trust here, #482 by citations
• Genetics — 9 citations into it

Whom Magali Olivier trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Kato
2. Pierre Hainaut
3. Pauline Crystal Ng
4. Ewy A. Mathé
5. M. Hollstein
6. V. Ramensky
7. Sean V. Tavtigian
8. Chikashi Ishioka
9. Moshe Oren
10. Steven Henikoff

Who trusts Magali Olivier overall

1. Vladimir N Uversky
2. Ewy A. Mathé
3. Arnold J. Levine
4. Moshe Oren
5. S. Hicks
6. M. Cortez

Papers from Magali Olivier's perspective

Ordered by how strongly the researchers Magali Olivier trusts endorse each paper. Same corpus, a different order for every researcher.

1. p53 and human cancer: the first ten thousand mutations. (Advances in Cancer Research)
2. Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome. (Cell)
3. Gain of function of a p53 hot spot mutation in a mouse model of Li-Fraumeni syndrome. (Cell)
4. Surfing the p53 network (Nature)
5. The IARC TP53 database: New online mutation analysis and recommendations to users (Human Mutation)
6. Understanding the function–structure and function–mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis
7. Human non-synonymous SNPs: server and survey. (Nucleic Acids Research)
8. Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods (Nucleic Acids Research)
9. Accounting for human polymorphisms predicted to affect protein function. (Genome Research)
10. Predicting deleterious amino acid substitutions.

Their papers

• Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database (2007) — 1,725 citations
• TP53 mutations in human cancers: origins, consequences, and clinical use. (2010) — 2,062 citations
• The IARC TP53 database: New online mutation analysis and recommendations to users (2002) — 1,328 citations
• TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes (2007) — 914 citations
• Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods (2006) — 352 citations
• Tobacco smoke carcinogens, DNA damage and p53 mutations in smoking-associated cancers (2002) — 1,114 citations
• TP53 Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data (2016) — 693 citations