Author

T. T. Hoang

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

Biology Disciplines

Click to filter author papers

Biophysics· 1 Cancer Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. Alexandrou· 1 shared A. T. L. Truong· 1 shared B. V. Nguyen· 1 shared C. I. Bouzigues· 1 shared C. Yu· 1 shared J.-B. Masson· 1 shared K. T. Duong· 1 shared K. V. B. Hoang· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

A. Alexandrou

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Molecular Phylogeny and Cryptic Morphology: A Combined Approach to Taxonomic Novelties in Polycarpaea (Caryophyllaceae) from Vietnam

T. V. Tran, T. T. Hoang, L. B. Le, N. T. K. Le, M. T. A. Nguyen, A. T. L. Truong, N. T. Tran, V. T. Tran, S. V. Le, K. T. Duong, K. V. B. Hoang, T. N. Le, B. V. Nguyen

The paper describes three new Polycarpaea species from Vietnam using molecular and morphological data and reports new insights into the systematic positions of seven other species.

bioRxiv · Mar 18, 2024 · PreprintPlant Biology

Nuclear Transformation In Metalloenzyme. A Novel And High Potential Cancer Treatment Research.

T. V. Luyen, T. T. Hoang

This study proposes using radioisotopes to deactivate metalloenzymes in cancer treatment, showing potential efficacy through simulations with Mg-28.

bioRxiv · Aug 10, 2023 · PreprintCancer Biology

Quantitative classification of energy landscapes inferred from single nanoparticle tracking of membrane receptors inside nanodomains reveals confinement functional and molecular features

C. Yu, M. Richly, T. T. Hoang, M. El Beheiry, S. Türkcan, J.-B. Masson, A. Alexandrou, C. I. Bouzigues

The paper quantitatively classifies energy landscapes of membrane receptors using single nanoparticle tracking and computational methods, revealing two distinct confinement mechanisms.

bioRxiv · Feb 13, 2023 · PreprintBiophysics