Author

M.-J. 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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Cancer Biology· 1 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Approach:statistical model· 1

Frequent Co-Authors

H. Kim· 2 shared D. J. Krysan· 1 shared D. R. Andes· 1 shared D. Shin· 1 shared D. W. Kim· 1 shared G. J. Weigel· 1 shared H. Namgung· 1 shared H.-B. Shin· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

H. Kim

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The Candida albicans reference strain SC5314 contains a rare, dominant allele of the transcription factor Rob1 that modulates biofilm formation and oral commensalism

V. E. Glazier, J. Kamara, T. Ollinger, N. V. Solis, R. Zarnowski, R. S. Wakade, M.-j. Kim, G. J. Weigel, S.-H. Liang, R. J. Bennett, M. Wellington, D. R. Andes, M. Stamnes, S. G. Filler, D. J. Krysan

This paper identifies a rare, dominant SNP in the Rob1 transcription factor of C. albicans strain SC5314 that enhances biofilm formation and filamentation, contributing to its distinct phenotypic traits.

bioRxiv · Jun 17, 2023 · PreprintMicrobiology

Sensitivity of radio-photoluminescence glass dosimeters to accumulated doses

D. W. Kim, J. Sung, J. Son, H.-B. Shin, M.-J. Kim, Y.-Y. Noh, H. Kim, M. C. Han, J. Kim, S. C. Han, K. H. Chang, H. Kim, K. Park, M. Yoon, J. Kim, D. Shin

This study examines how accumulated doses affect radio-photoluminescence glass dosimeters (RPLGDs) under different photon energies and irradiation conditions.

bioRxiv · Jun 4, 2020Cancer Biology

Predicting potential current distribution of Lycorma delicatula (Hemiptera: Fulgoridae) using MaxEnt model in South Korea

H. Namgung, M.-J. Kim, S. Baek, J.-H. Lee, H. Kim

This study uses MaxEnt models to predict the current distribution of Lycorma delicatula in South Korea and assesses the impact of human factors on its spread.

bioRxiv · Feb 22, 2019Ecology