Matthew Barron

1.5k citations
28 papers · 1.1k indexed · h-index 14
Topics
Tissue Engineering and Regenerative Medicine (7 papers)Congenital heart defects research (7 papers)Pluripotent Stem Cells Research (6 papers)

In The Last Decade

Matthew Barron

27 papers receiving 1.1k citations

Peers

Matthew Barron
Comparison fields: 5 of 84
  • Molecular Biology 825
  • Surgery 472
  • Biomedical Engineering 130
  • Cardiology and Cardiovascular Medicine 119
  • Biomaterials 116
Replace Chang Youn Lee with:
Chang Youn Lee South Korea
Jialiang Liang United States
Aryé Elfenbein United States
Yiling Si China
Caitlin N. Suire United States
Jill T. Kuwabara United States
Bradley Pawlikowski United States
Akshay Bareja United States
Bianca Vezzani Italy
Michael Xavier Doss Germany
Matthew Barron relative to Chang Youn Lee South Korea Chang Youn Lee's profile →
Citations per field
00.5×2.6×
Chang Youn Lee · 1×
Citations per year

Countries citing papers authored by Matthew Barron

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Barron

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Barron. A scholar is included among the top collaborators of Matthew Barron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Barron. Matthew Barron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 13
5 3
6 46
7 15
8 24
9 52
10 19
11
Abstract 20724: Matrix-Promoted Efficient Cardiac Differentiation of Human iPS and ES Cells
3
12 7
13 5
14 50
15 101
16 35
17 22
18 2
19 171
20 49

About Matthew Barron

Matthew Barron is a scholar working on Biological Psychiatry, Immunology and Allergy and Surgery, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Congenital heart defects research (7 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Molecular Biology (825 citations), Surgery (472 citations) and Biomaterials (116 citations). Matthew Barron has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John Lough, Ming Gao, Yukiko Sugi, David L. Bolender, Xiaolei Zhu, Marie‐Christine Pardon, Matthew Klos, Kunil Raval, Andrew G. Soerens and Amanda M. Herman. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation Research.

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.

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