E
Emma Smith Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
2 h-index
30 pubs
62 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Emma Smith is a faculty member at the University of Arkansas at Fayetteville. Her research interests include the application of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative medicine. She also investigates the use of distributed acoustic sensing in cryoseismic data analysis, with a focus on developing machine learning approaches. Smith has published 30 papers, accumulating 55 citations and an h-index of 2. She collaborates with researchers at the University of Arkansas at Fayetteville, including Young Hye Song, Vitali Maldonado, and Ghazaleh Salmanian, as well as Rebekah M. Samsonraj from the University of Arkansas for Medical Sciences.
Metrics
- h-index: 2
- Publications: 30
- Citations: 62
Selected Publications
-
Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications (2022)
Collaboration Network
Top Collaborators
Adam Booth
Bridge University (SS)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Poul Christoffersen
Bridge University (SS)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Andrew Pretorius
University of Washington (US)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Joseph A. Chapman
Earth and Space Research (US)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Bryn Hubbard
University of Leeds (GB)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Sjoerd de Ridder
Washington College (US)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Andy Nowacki
Bridge University (SS)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Bradley P. Lipovsky
University of Cambridge (GB)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Marine Denolle
Earth and Space Research (US)
1 shared publication
- Distributed Acoustic Sensing in a Greenlandic Outlet Glacier: Developing Machine Learning Approaches to Benefit Cryoseismic Data Analysis
Taylor Williams
University of Arkansas at Fayetteville (US)
1 shared publication
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Ghazaleh Salmanian
University of Arkansas at Fayetteville
1 shared publication
In database
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Morgan Burns
University of Arkansas at Fayetteville (US)
1 shared publication
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Vitali Maldonado
University of Arkansas at Fayetteville
1 shared publication
In database
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Ryan M. Porter
University of Arkansas for Medical Sciences (US)
1 shared publication
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Young Hye Song
University of Arkansas at Fayetteville
1 shared publication
In database
- Versatility of mesenchymal stem cell-derived extracellular vesicles in tissue repair and regenerative applications
Similar Researchers
Based on overlapping research topics
Vitali Maldonado
University of Arkansas at Fayetteville
Tissue Engineering and Regenerative Medicine
Mesenchymal stem cell research
Extracellular vesicles in disease
Ghazaleh Salmanian
University of Arkansas at Fayetteville
Tissue Engineering and Regenerative Medicine
Mesenchymal stem cell research
Extracellular vesicles in disease
Rebekah M. Samsonraj
University of Arkansas at Fayetteville
Tissue Engineering and Regenerative Medicine
Mesenchymal stem cell research
Extracellular vesicles in disease
Younghye Song
University of Arkansas at Fayetteville
Tissue Engineering and Regenerative Medicine
Mesenchymal stem cell research
Extracellular vesicles in disease
Elaine Gordon
Arkansas State University
Tissue Engineering and Regenerative Medicine
Mesenchymal stem cell research
A.J. Parisian
University of Arkansas for Medical Sciences
Mesenchymal stem cell research
Extracellular vesicles in disease