Author

Keith Smith

Health Data Research UKORCID 0000-0002-4615-9020Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:benchmarking· 2 Organism:E. coli· 1 Assay:protein structure· 1 Organism:yeast· 1

Frequent Co-Authors

Mark E. BastiniD· 3 shared Javier EscuderoiD· 2 shared Simon R. CoxiD· 2 shared A TeufeliD· 1 shared Alan J. QuigleyiD· 1 shared Anshuman SwainiD· 1 shared April Snøfrid KleppeiD· 1 shared Brennan KleiniD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersNeuroscience

Mark E. BastinORCID

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4 papers

Recent·Most cited

Relative strength variability measures for brain structural connectomes and their relationship with cognitive functioning

Hon Wah Yeung, Colin R. Buchanan, Joanna E. Moodie, Ian J. Deary, Elliot M. Tucker–Drob, Mark E. Bastin, Heather Clare Whalley, Keith Smith, Simon R. Cox

This paper introduces new graph measures for brain structural connectomes, showing they better predict general cognitive function than existing measures.

Human Brain Mapping · Aug 1, 2025Peer-reviewedNeuroscience

A computational exploration of resilience and evolvability of protein-protein interaction networks

Brennan Klein, Ludvig Holmér, Keith Smith, Mackenzie M. Johnson, Anshuman Swain, Laura Stolp, A Teufel, April Snøfrid Kleppe

The paper evaluates how different node addition mechanisms affect the resilience of PPI networks across species, finding that gene-expression-based attachment best preserves resilience.

Communications Biology · Dec 2, 2021Peer-reviewedSystems Biology

Hierarchical complexity of the macro-scale neonatal brain

Manuel Blesa, Paola Galdi, Simon R Cox, Gemma Sullivan, David Q. Stoye, Gillian J. Lamb, Alan J. Quigley, Michael J. Thrippleton, Javier Escudero, Mark E. Bastin, Keith Smith, James P. Boardman

This study examines hierarchical complexity in neonatal and adult brain networks, finding greater complexity in term-born neonates compared to preterms, linked to connectivity patterns in intermediate tiers.

Cerebral Cortex · Oct 26, 2020Peer-reviewedNeuroscience

Hierarchical Complexity of the Adult Human Structural Connectome

Keith Smith, Mark E. Bastin, Simon R. Cox, Maria del Carmen Valdés Hernández, Stewart J. Wiseman, Javier Escudero, Cathie L. M. Sudlow

This paper assesses the hierarchical complexity of human structural connectomes, finding that middle-tier nodes exhibit the highest complexity and align with known functional brain organization.

NeuroImage · Feb 14, 2019Peer-reviewedSystems Biology