Abel Gonzalez-Perez
Molecular Biology · 2011–2020
A researcher in the Science corpus: 11 papers; trusts 4 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 250 citations into it; #3,270 of 17,773 by trust here, #3,963 by citations
- Cancer Research — 183 citations into it
Whom Abel Gonzalez-Perez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Abel Gonzalez-Perez overall
- Abhishek Niroula
- Nouf S. Al-Numair
- Rajarshi Ghosh
- Vanessa E. Gray
- Florian Gnad
- Martin Kircher
- Mauno Vihinen
- Stephan Pabinger
- Andrew C. R. Martin
- Dominik G. Grimm
Papers from Abel Gonzalez-Perez's perspective
Ordered by how strongly the researchers Abel Gonzalez-Perez trusts endorse each paper. Same corpus, a different order for every researcher.
- Accounting for human polymorphisms predicted to affect protein function. (Genome Research)
- Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database (Human Mutation)
- Circos: an information aesthetic for comparative genomics. (Genome Research)
- Analysis of protein-coding genetic variation in 60,706 humans
- Clonal evolution in relapsed acute myeloid leukemia revealed by whole genome sequencing (Nature)
- A CENSUS OF HUMAN CANCER GENES (Nature Reviews. Cancer)
- ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
- Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation (New England Journal of Medicine)
- Exploring the Genomes of Cancer Cells: Progress and Promise (Science)
- Landscape of somatic mutations in 560 breast cancer whole genome sequences (Nature)
Their papers
- Improving the assessment of the outcome of nonsynonymous SNVs with a consensus deleteriousness score, Condel. (2011) — 800 citations
- Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations (2017) — 501 citations
- OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes (2013) — 464 citations
- Pathway and Network Analysis of Cancer Genomes (2015) — 319 citations
- OncodriveFML: a general framework to identify coding and non-coding regions with cancer driver mutations (2016) — 309 citations
- Pan-Cancer Network Analysis Identifies Combinations of Rare Somatic Mutations across Pathways and Protein Complexes (2014) — 867 citations
- Comprehensive Characterization of Cancer Driver Genes and Mutations (2018) — 2,007 citations
- IntOGen-mutations identifies cancer drivers across tumor types (2013) — 559 citations
- A compendium of mutational cancer driver genes (2020) — 1,056 citations
- Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (2020) — 508 citations
- A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT) (2018) — 704 citations