Author

J. Ackerman

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 Biophysics· 1 Cell Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:mouse· 3 Research Focus:development & morphogenesis· 2 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

A. Loiselle· 2 shared V. Studentsova· 2 shared A. E. Loiselle· 1 shared A. E. Nichols· 1 shared A. Nazarian· 1 shared A. Prokop· 1 shared A. V. Mauad· 1 shared A. Zuluaga· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 9 mutual co-author links

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2 shared papersCell Biology

A. Loiselle

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

The Origin And Speciation Of Orchids

O. A. Perez-Escobar, D. Bogarin, N. A. Przelomska, J. Ackerman, J. A. Balbuena, S. Bellot, R. P. Buehlmann, B. Cabrera, J. A. Cano, M. Charitonidou, G. Chomicki, M. A. Clements, P. Cribb, M. Fernandez, N. S. Flanagan, , F. L. Condamine

This study reconstructs the phylogeny of orchids using genomic data and infers their geographic origin and speciation patterns, finding their origin in Laurasia and recent speciation in Central America.

New Phytologist · Feb 21, 2024Peer-reviewedEvolutionary Biology

Development of a Nanoparticle-Based Tendon-Targeting Drug Delivery System to Pharmacologically Modulate Tendon Healing

E. E. Adjei-Sowah, I. Chandrasiri, B. Xiao, Y. Liu, J. Ackerman, C. Soto, A. E. Nichols, K. Nolan, D. S. W. Benoit, A. E. Loiselle

This paper develops a nanoparticle-based drug delivery system targeting tendons to improve healing by delivering Niclosamide, showing enhanced functional and mechanical outcomes compared to systemic delivery.

bioRxiv · Nov 29, 2023Bioengineering

An In-Silico Testbed for Fast and Accurate MR Labeling of Orthopaedic Implants

G. M. Noetscher, P. J. Serano, M. Horner, A. Prokop, J. Hanson, K. Fujimoto, J. E. Brown, A. Nazarian, J. Ackerman, S. N. Makaroff

The paper presents an in-silico testbed for MR labeling of orthopaedic implants, approved by FDA as a medical device development tool for 1.5 T examinations.

bioRxiv · Jul 16, 2023 · PreprintBiophysics

Cell non-autonomous functions of S100a4 drive fibrotic tendon healing

J. Ackerman, V. Studentsova, K. Best, E. Knapp, A. Loiselle

This study shows that inhibiting S100a4 improves tendon healing by reducing scar formation and enhancing mechanical properties through cell non-autonomous mechanisms.

bioRxiv · Jan 9, 2019Cell Biology

Non-invasive ultrasound quantification of Scar Tissue Volume predicts functional changes during tendon healing

J. Ackerman, V. Studentsova, A. Loiselle

This study quantifies scar tissue volume via ultrasound to predict functional changes during tendon healing and identifies its utility in screening therapeutic interventions.

bioRxiv · Nov 4, 2018Bioengineering