Author

K. A. Davis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Assay:electrophysiology· 2 Approach:experimental assay· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Ali· 1 shared A. G. Richardson· 1 shared A. H. Squires· 1 shared A. Kheder· 1 shared B. B. Murphy· 1 shared B. Erickson· 1 shared B. Litt· 1 shared D. A. Drummond· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCell Biology

A. Ali

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Adaptive preservation of orphan ribosomal proteins in chaperone-stirred condensates

A. Ali, R. Garde, O. C. Schaffer, J. A. M. Bard, K. Husain, S. Keyport Kik, K. A. Davis, S. Luengo-Woods, D. A. Drummond, A. H. Squires, D. Pincus

During stress, molecular chaperones preserve 'orphan' ribosomal proteins in liquid-like condensates, maintaining them in a usable form and enabling efficient recovery from stress.

bioRxiv · Nov 9, 2022 · PreprintCell Biology

MXtrodes: MXene-infused bioelectronic interfaces for multiscale electrophysiology and stimulation

N. Driscoll, B. Erickson, B. B. Murphy, A. G. Richardson, G. Robbins, N. V. Apollo, T. Mathis, K. Hantanasirisakul, P. Bagga, S. E. Gullbrand, M. Sergison, R. Reddy, J. A. Wolf, H. I. Chen, T. H. Lucas, , F. Vitale

This paper introduces MXtrodes, a new class of bioelectronic interfaces using MXene for high-resolution, large-scale electrophysiology and stimulation, validated in human and animal applications.

bioRxiv · Mar 1, 2021Bioengineering

How sensitive is functional connectivity to electrode resampling on intracranial EEG? Implications for personalized network models in drug-resistant epilepsy

E. C. Conrad, J. M. Bernabei, L. G. Kini, P. Shah, F. Mikhail, A. Kheder, R. T. Shinohara, K. A. Davis, D. S. Bassett, B. Litt

This study evaluates how sensitive functional connectivity is to electrode resampling in intracranial EEG and proposes an algorithm to assess model confidence in drug-resistant epilepsy.

bioRxiv · Jul 9, 2019 · PreprintBioengineering