Matthew Barron
Impact in
- Molecular Biology top 10%
- Congenital heart defects research
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine
Papers in
-
- Congenital heart defects research 7
- Pluripotent Stem Cells Research 6
- Surgery 10
- Tissue Engineering and Regenerative Medicine 5
- Bariatric Surgery and Outcomes 3
- Co-authors
- John Lough (10 shared papers)Yukiko Sugi (2 shared papers)Ming Gao (1 shared paper)David L. Bolender (1 shared paper)Xiaolei Zhu (1 shared paper)Marie‐Christine Pardon (4 shared papers)Gary E. Lyons (1 shared paper)James A. Thomson (2 shared papers)
- Journals
- Developmental Dynamics (4 papers)Surgical Endoscopy (2 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew Barron
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 794
- Surgery 431
- Biomaterials 106
- Biological Psychiatry 14
- Genetics 57
Countries citing papers authored by Matthew Barron
This map shows the geographic impact of Matthew Barron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Barron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Barron more than expected).
Fields of papers citing papers by Matthew Barron
This network shows the impact of papers produced by Matthew Barron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Barron. The network helps show where Matthew Barron may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Barron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 339 | |
| 2 | 1996 | 171 | |
| 3 | 2000 | 123 | |
| 4 | 2005 | 101 | |
| 5 | 2016 | 53 | |
| 6 | 2006 | 50 | |
| 7 | 1995 | 49 | |
| 8 | 2018 | 46 | |
| 9 | 2005 | 35 | |
| 10 | 2016 | 24 | |
| 11 | 1998 | 22 | |
| 12 | 2012 | 20 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2010 | 7 | |
| 18 | 2008 | 5 | |
| 19 | Abstract 20724: Matrix-Promoted Efficient Cardiac Differentiation of Human iPS and ES Cells | 2010 | 3 |
| 20 | 2020 | 3 |
About Matthew Barron
Matthew Barron is a scholar working on Molecular Biology, Surgery, Physiology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital heart defects research (7 papers), Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Bariatric Surgery and Outcomes (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Molecular Biology (794 citations), Surgery (431 citations), Biomaterials (106 citations), Biological Psychiatry (14 citations) and Genetics (57 citations). Matthew Barron has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John Lough, Yukiko Sugi, Ming Gao, David L. Bolender, Xiaolei Zhu, Marie‐Christine Pardon, Gary E. Lyons, James A. Thomson, Kunil Raval and Luqia Hou. Their work appears in journals such as Developmental Dynamics, Surgical Endoscopy, Journal of Biological Chemistry, The FASEB Journal and Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.