Author

S. Chi

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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Biochemistry· 1 Immunology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Organism:fungi (other)· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

C. F. Hsu· 1 shared C. Kim· 1 shared G. M. Choi· 1 shared H. Ji· 1 shared H.-H. Chao· 1 shared H.-P. Huang· 1 shared J. Han· 1 shared J. J. Park· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperPhysiology

C. F. Hsu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Albumin-binding recombinant human IL-18BP ameliorates macrophage activation syndrome and atopic dermatitis via direct IL-18 inactivation

Y.-S. Jang, K. Lee, M. Park, J. J. Park, G. M. Choi, C. Kim, S. B. Dehkohneh, S. Chi, J. Han, M. Y. Song, Y.-H. Han, S.-H. Cha, S. G. Kang

This paper develops APB-R3, a long-acting IL-18 blocker, showing efficacy in reducing inflammation in macrophage activation syndrome and atopic dermatitis models.

bioRxiv · May 30, 2023Immunology

Evidence for the Presence of Hyphae and Fruiting Body Calcium Oxalate Crystallites in Schizophyllum commune

X. Xiao, T. Huang, j. zhang, q. su, L. Tao, x. chen, y. zhang, Y. Jiang, y. ding, x. yu, w. Liu, H. Ji, s. chi

The paper examines S. commune fruiting bodies and hyphae to confirm the presence of calcium oxalate crystallites, demonstrating biomineralization in this fungus.

bioRxiv · Aug 13, 2021 · PreprintBiochemistry

State Change Probability: A Measure of the Complexity of Cardiac RR Interval Time Series Using Physiological State Change with Statistical Hypothesis Testing

H.-H. Chao, H.-P. Huang, S.-Y. Wei, C. F. Hsu, L. Hsu, S. Chi

This paper introduces state change probability (SCP) as a complexity measure for cardiac RR interval time series, showing it outperforms existing methods in evaluating complexity and differentiating healthy from pathological subjects.

bioRxiv · Oct 24, 2019 · PreprintPhysiology