Author

S.-H. Su

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 Ecology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Assay:field survey / ecological data· 2 Organism:human· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

B. H. Singer· 2 shared B. Li· 2 shared C. Chu· 2 shared G. Jin· 2 shared G. Shen· 2 shared I.-F. Sun· 2 shared J. Lian· 2 shared K. Kurabayashi· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioengineering

B. H. Singer

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Latitudinal scaling of aggregation with abundance and its consequences for coexistence in species rich forests

T. Wiegand, X. Wang, S. Fischer, N. J. B. Kraft, N. A. Bourg, W. Y. Brockelman, M. Cao, W. Chanthorn, C. Chu, S. Davies, S. Ediriweera, C. V. S. Gunatilleke, I. A. U. N. Gunatilleke, Z. Hao, R. Howe, , A. Huth

The paper examines latitudinal patterns in species aggregation and abundance, showing how these patterns affect coexistence in forests and introduces a framework to model their impact on extinction risk.

bioRxiv · May 18, 2023 · PreprintEcology

The Modular μSiM: a Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro

M. C. McCloskey, P. Kasap, S. D. Ahmad, S.-H. Su, K. Chen, M. Mansouri, N. Ramesh, H. Nishihara, Y. Belyaev, V. V. Abhyankar, S. Begolo, B. H. Singer, K. F. Webb, K. Kurabayashi, J. Flax, , J. L. McGrath

The paper introduces a modular, mass-produced tissue chip platform for barrier tissue models, validated for blood-brain barrier studies and reconfigurable for other applications.

bioRxiv · Mar 28, 2022Bioengineering

Machine Learning-Based Protein Microarray Digital Assay Analysis

Y. Song, J. Zhao, T. Cai, S.-H. Su, E. Sandford, C. Flora, B. H. Singer, M. Ghosh, S. W. Choi, M. Tewari, K. Kurabayashi

The paper develops a microfluidic digital immunoassay using machine learning for rapid, multiplexed biomarker detection in clinical samples.

bioRxiv · Aug 4, 2020 · PreprintBioengineering

Species packing and the latitudinal gradient in beta-diversity

K. Cao, R. Condit, X. Mi, L. Chen, H. Ren, W. Xu, D. F. R. P. Burslem, C. Cai, M. Cao, L.-W. Chang, C. Chu, F. Cui, H. Du, S. Ediriweera, C. S. V. Gunatilleke, , J.-C. Svenning

The paper tests whether beta-diversity contributes to the latitudinal gradient in species richness by analyzing tree species data across East Asia.

bioRxiv · Jul 14, 2020 · PreprintEcology