Author

A. R. Kim

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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Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Nakano· 1 shared A. Z. Stieg· 1 shared C. S. Dunham· 1 shared E. S. Diamant· 1 shared H. Nakano· 1 shared J. K. Gimzewski· 1 shared M. E. Mackenzie· 1 shared N. A. Lozano-Huntelman· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Nakano

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Meta-analysis using new methods for three-stressor combinations reveal substantial higher-order interactions and emergent properties

E. S. Diamant, S. Boyd, N. A. Lozano-Huntelman, V. Enriquez, A. R. Kim, V. M. Savage, P. J. Yeh

The paper reanalyzes 151 ecological three-stressor interactions using new methods, finding 89% showed new interactions and substantial emergent properties.

bioRxiv · Apr 15, 2022 · PreprintEcology

Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis

C. S. Dunham, M. E. Mackenzie, H. Nakano, A. R. Kim, A. Nakano, A. Z. Stieg, J. K. Gimzewski

Cardio PyMEA provides a user-friendly, open-source Python tool for analyzing cardiomyocyte microelectrode array data, offering customizable functionalities and cross-platform accessibility.

bioRxiv · Mar 25, 2022 · PreprintCell Biology