Matthew A. Field - Concepedia

Author

Matthew A. Field

Also Known As

Field, Matt, Field, Matt A., Field, Matthew, Field, Matthew Arnell, Lars Feuerbach, M Field, M. A. Field, M. Field, MATTHEW A. FIELD, Mandeep Singh

207

Publications

22.6K

Citations

H-Index

Concepts

All Affiliations

Australian National University James Cook University Australian Institute of Tropical Health and Medicine Garvan Institute of Medical Research The University of Melbourne

About

Matthew A. Field is an author at Australian National University specializing in medicine, genomics, and genetics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	11	12	3.1K
2	Natural Sciences	7	7	448
3	Biology	6	6	395
4	Engineering	2	2	25
5	Biochemistry	1	1	49

Matthew A. Field

Publications

12.4K

Citations

H-Index

Page 1

	Year	Citations
Pan-cancer analysis of whole genomes Lauri A. Aaltonen, Federico Abascal, Adam Abeshouse, Nature	2020	3.1K
Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma Ryan D. Morin, María Méndez-Lago, Andrew J. Mungall, Nature	2011	1.6K
Whole-genome landscapes of major melanoma subtypes Nicholas K. Hayward, James S. Wilmott, Nicola Waddell, Nature Functional GenomicsSkin CancerTumor HeterogeneityMedicineGenetics	2017	1.4K
De novo assembly and analysis of RNA-seq data Gordon Robertson, Jacqueline E. Schein, Readman Chiu, Nature Methods Functional GenomicsRna-seq DataGeneticsSequence AnalysisRna Structure Prediction	2010	1K
Obligate biotrophy features unraveled by the genomic analysis of rust fungi Sébastien Duplessis, Christina A. Cuomo, Yao‐Cheng Lin, Proceedings of the National Academy of Sciences	2011	741
TLR7 gain-of-function genetic variation causes human lupus Grant J. Brown, Pablo F. Cañete, Hao Wang, Nature	2022	521
Comprehensive molecular characterization of mitochondrial genomes in human cancers Yuan Yuan, Young Seok Ju, Young-Wook Kim, Nature Genetics	2020	489
Comparison of predicted and actual consequences of missense mutations Lisa A. Miosge, Matthew A. Field, Yovina Sontani, Proceedings of the National Academy of Sciences	2015	231
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns Wei Jiao, Gurnit Atwal, Paz Polak, Nature Communications	2020	230
Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome Elliott H. Margulies, Gregory M. Cooper, George Asimenos, Genome Research Constraint PredictionsGeneticsGenerated AlignmentsGenomicsSequence Alignment	2007	219

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