Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-08

Marcos R. Rodriguez

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.

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Also affiliated: Tufts University (2026)

2 h-index 12 pubs 20 cited

  • Microscopy
  • Neural Networks, Computer
  • Ribose
  • Glycation End Products, Advanced
  • Animals
  • Image Processing, Computer-Assisted
  • Wound Healing
  • Biomarkers
  • Mice
  • Collagen
  • Glycosylation
  • Hydrogels

Biography and Research Information

OverviewAI-generated summary

Marcos R. Rodriguez studies advanced methods for analyzing biological processes, particularly focusing on wound healing and skin aging. His research utilizes label-free multiphoton microscopy, combined with computational approaches like convolutional neural networks, to automate the extraction of relevant biomarkers. This work aims to provide sensitive detection of metabolic and structural changes in aged skin and to monitor wound healing progression. Rodriguez also investigates the properties of biomaterials, such as collagen and gelatin-methacrylate hydrogels, examining factors like glycation, cross-linking, and pH sensitivity. His work has been supported by collaborations with researchers at the University of Arkansas at Fayetteville, including Kyle P. Quinn and Jake D. Jones.

Metrics

  • h-index: 2
  • Publications: 12
  • Citations: 20

Selected Publications

  • Force-responsive biomaterials drive tissue repair by harnessing endogenous growth factors (2026)
    Nature Materials DOI OpenAlex
  • Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in crosslinking and post-gelation pH (2026)
    Frontiers in Bioengineering and Biotechnology DOI OpenAlex
  • <i>In Vivo</i> , Label-Free Multiphoton Microscopy Is Sensitive to Altered Metabolism and Structure in Aged Skin (2026)
    Advances in Wound Care 1 citation DOI OpenAlex
  • Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025)
  • Quantifying the Interaction between Age and Diabetes on Skin Wound Metabolism Using In Vivo Multiphoton Microscopy (2024)
  • Quantifying Age-Related Changes in Skin Microstructure and Function Using In Vivo Multiphoton Microscopy (2023)
  • Pre‐glycation impairs gelation of high concentration collagen solutions (2022)
    Journal of Biomedical Materials Research Part A 6 citations DOI OpenAlex
  • Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022)
  • Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in cross-linking and pH (2022)
    1 citation DOI OpenAlex
  • Task #5: Treatment Process for Reusing and Recycling Produced Water (2021)
  • 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

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Collaboration Network

28 Collaborators 13 Institutions 3 Countries

Top Collaborators

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