Matthew E. Brown

1.4k citations
27 papers · 995 indexed · h-index 14

Impact in

  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Immune Cell Function and Interaction

Papers in

    • Electrospun Nanofibers in Biomedical Applications 4
    • Tissue Engineering and Regenerative Medicine 5
    • Xenotransplantation and immune response 3

Matthew E. Brown

26 papers receiving 984 citations

Peers

Matthew E. Brown
Comparison fields: 5 of 90
  • Biomaterials 143
  • Immunology 177
  • Genetics 78
  • Hematology 77
  • Molecular Biology 473
Replace Camie W. Chan with:
Camie W. Chan United States
Amanda Jiang United States
Sonja Giger Switzerland
Vincent Sarrazy France
Deborah Philp United States
Heinz Hausser Germany
Atul Kumar India
Yuqiong Pan United States
Haishuang Lin China
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Citations per field
00.5×3.7×
Camie W. Chan · 1×
Citations per year

Countries citing papers authored by Matthew E. Brown

Since Specialization
Citations

This map shows the geographic impact of Matthew E. Brown'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 E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Brown more than expected).

Fields of papers citing papers by Matthew E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Brown. 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 E. Brown. The network helps show where Matthew E. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew E. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew E. Brown Line = papers co-authored together Matthew E. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2 2015159
3 2010120
4 2017105
5 202362
6 201552
7 201150
8 200641
9 201840
10 202135
11 202221
12 201920
13 201620
14 201613
15 202012
16 201511
17 20208
18 20197
19 20234
20 20252

About Matthew E. Brown

Matthew E. Brown is a scholar working on Biomaterials, Surgery, Developmental Neuroscience, Molecular Biology and Immunology, having authored 27 papers that have together received 995 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (8 papers), Tissue Engineering and Regenerative Medicine (5 papers), Virus-based gene therapy research (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), CAR-T cell therapy research (3 papers), Xenotransplantation and immune response (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Biomaterials (143 citations), Immunology (177 citations), Genetics (78 citations), Hematology (77 citations) and Molecular Biology (473 citations). Matthew E. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James A. Thomson, William J. Burlingham, Brian E. McIntosh, Bret Duffin, Igor I. Slukvin, Jon S. Odorico, David Vereide, Sara Dutton Sackett, John P. Maufort and Deepika Rajesh. Their work appears in journals such as Stem Cell Reports, International Journal of Surgery, Scientific Reports, Nature Communications and Frontiers in Immunology.

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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