Sam F. Greenbury - Concepedia

Author

Sam F. Greenbury

Imperial College London ORCID

Also Known As

Giles, Oscar, Greenbury, Sam, Greenbury, Sam F., S. F. Greenbury, Sam F Greenbury, Sam F. Greenbury, Sam Greenbury

Publications

605

Citations

H-Index

Concepts

All Affiliations

Imperial College London University of Oxford University of Cambridge The Alan Turing Institute Turing Institute

About

Sam F. Greenbury is an author at Imperial College London specializing in medicine, evolutionary biology, and population genetics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	327
2	Public Health	4	4	190
3	Natural Sciences	1	1	73
4	Biostatistics	1	1	21
5	Child Development	1	1	39

Sam F. Greenbury

Publications

581

Citations

H-Index

Page 1

	Year	Citations
Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution Iain G. Johnston, Kamaludin Dingle, Sam F. Greenbury, Proceedings of the National Academy of Sciences	2022	130
Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability Sam F. Greenbury, Steffen Schaper, Sebastian E. Ahnert, PLoS Computational Biology GeneticsGenetic CorrelationsMutational NeighbourhoodsNon-neutral CorrelationsMolecular Ecology	2016	87
A tractable genotype–phenotype map modelling the self-assembly of protein quaternary structure Sam F. Greenbury, Iain G. Johnston, Ard A. Louis, Journal of The Royal Society Interface Structural BioinformaticsGeneticsMolecular BiologyTractable Genotype–phenotype MapMolecular Ecology	2014	73
The structure of genotype-phenotype maps makes fitness landscapes navigable Sam F. Greenbury, Ard A. Louis, Sebastian E. Ahnert Nature Ecology & Evolution Genotype-phenotype MapsLinkage DisequilibriumGenotype-phenotype AssociationMolecular EcologyFitness	2022	64
The organization of biological sequences into constrained and unconstrained parts determines fundamental properties of genotype–phenotype maps Sam F. Greenbury, Sebastian E. Ahnert Journal of The Royal Society Interface Phenotypic VariationGeneticsLinkage AnalysisGenomic MechanismGenomics	2015	43
The effect of scale-free topology on the robustness and evolvability of genetic regulatory networks Sam F. Greenbury, Iain G. Johnston, Matthew A. Smith, Journal of Theoretical Biology Pattern FormationEvolutionary BiologyBiological NetworkNetwork RobustnessNetwork Analysis	2010	41
Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales, 2008–19: a cohort study Sam F. Greenbury, Elsa D. Angelini, Kayleigh Ougham, The Lancet Child & Adolescent Health ObesityNutritionPostnatal Weight GainChildhood ObesityBody Composition	2021	39
Changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic: a whole population cohort study Sam F. Greenbury, Nicholas T. Longford, Kayleigh Ougham, BMJ Open	2021	22
Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data Iain G. Johnston, Till Hoffmann, Sam F. Greenbury, npj Digital Medicine MalariaGenetic EpidemiologySm ProgressionComputational EpidemiologyDisease Classification	2019	21
Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning Sam F. Greenbury, Kayleigh Ougham, Jinyi Wu, Scientific Reports	2021	18

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