Jake D. Jones

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

University of Arkansas

Also affiliated: Cabot (United States) (2024); Cardiff University (2024)

Faculty Researcher

11 h-index 36 pubs 589 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website

OverviewAI-generated summary

Jake D. Jones investigates the application of computational methods and advanced imaging techniques to biological and materials science problems. His work includes the development of convolutional neural networks for automated extraction of skin wound healing biomarkers from multiphoton microscopy data. He also studies age-related changes in skin structure and mechanical function using multiscale imaging, with a focus on quantifying collagen microstructure during mechanical loading. Jones has also contributed to research on vaccine efficacy, including phase 3 studies for pneumococcal and meningococcal conjugate vaccines in infants, adolescents, and young adults.

His scholarship metrics include an h-index of 11, with 36 total publications and 581 total citations. Jones frequently collaborates with researchers at the University of Arkansas at Fayetteville, including Kyle P. Quinn (6 shared publications), Alan E. Woessner (4 shared publications), and Marcos R. Rodriguez (3 shared publications).

Metrics

h-index: 11
Publications: 36
Citations: 589

Selected Publications

Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)

DOI OpenAlex
Quantification of age-related changes in the structure and mechanical function of skin with multiscale imaging (2024)

GeroScience 9 citations DOI OpenAlex
Quantifying age-related changes in the structure and mechanical function of skin with multiscale imaging (2022)

1 citation DOI OpenAlex
Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022)

DOI OpenAlex
Quantifying 3D tissue kinematics though second harmonic generation microscopy of skin during mechanical loading (2021)

Biophotonics Congress 2021 DOI OpenAlex
Three-Dimensional Quantification of Collagen Microstructure During Tensile Mechanical Loading of Skin (2021)

Frontiers in Bioengineering and Biotechnology 20 citations DOI OpenAlex
Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021)

Lasers in Surgery and Medicine 11 citations DOI OpenAlex
Automated Quantitative Analysis of Wound Histology Using Deep-Learning Neural Networks (2020)

Journal of Investigative Dermatology 11 citations DOI OpenAlex
Segmenting Cutaneous Wounds from Tissue Sections and In Vivo Images using Deep Learning (2020)

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN) DOI OpenAlex
Quantifying Age-Related Changes in Skin Wound Metabolism Using <i>In Vivo</i> Multiphoton Microscopy (2019)

Advances in Wound Care 27 citations DOI OpenAlex
Skin Structure–Function Relationships and the Wound Healing Response to Intrinsic Aging (2019)

Advances in Wound Care 221 citations DOI OpenAlex
In vivo label-free multiphoton microscopy for monitoring delayed skin wound healing (2019)

DOI OpenAlex
Characterizing differences in the collagen fiber organization of skin wounds using quantitative polarized light imaging (2019)

Wound Repair and Regeneration 26 citations DOI OpenAlex
Biocompatible, Injectable Anionic Hydrogels Based on Poly(Oligo Ethylene Glycol Monoacrylate‐<i>co</i>‐Acrylic Acid) for Protein Delivery (2019)

Advanced Therapeutics 11 citations DOI OpenAlex
In vivo multiphoton microscopy detects longitudinal metabolic changes associated with delayed skin wound healing (2018)

Communications Biology 83 citations DOI OpenAlex