Matthew E. Brown

1.4k citations
27 papers · 1.0k · h-index 14

Impact in

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

Papers in

    • Pluripotent Stem Cells Research 14
    • CRISPR and Genetic Engineering 8
    • Tissue Engineering and Regenerative Medicine 5
    • Xenotransplantation and immune response 3

Matthew E. Brown

26 papers receiving 1.0k citations

Peers

Matthew E. Brown
Comparison fields: 5 of 88
  • Biomaterials 142
  • Immunology 172
  • Genetics 70
  • Surgery 275
  • Hematology 73
Replace Camie W. Chan with:
Camie W. Chan Hong Kong
Sonja Giger Switzerland
Amanda Jiang United States
Deborah Philp United States
Martin Aichinger Germany
Yuqiong Pan United States
Haishuang Lin China
Heinz Hausser Germany
Alexander Goedel Germany
Annele Sainio Finland
Matthew E. Brown relative to Camie W. Chan Hong Kong Camie W. Chan's profile →
Citations per field
00.5×3.1×
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 2018212
2 2015164
3 2010120
4 2017106
5 202368
6 201553
7 201151
8 201841
9 200640
10 202140
11 202223
12 201922
13 201620
14 201614
15 202013
16 201511
17 20208
18 20197
19 20234
20 20242

About Matthew E. Brown

Matthew E. Brown is a scholar working on Molecular Biology, Surgery, Biomaterials, Genetics and Immunology, having authored 27 papers that have together received 1.0k 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), Electrospun Nanofibers in Biomedical Applications (4 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers), Xenotransplantation and immune response (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biomaterials (142 citations), Immunology (172 citations), Genetics (70 citations), Surgery (275 citations) and Hematology (73 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, John P. Maufort, Jon S. Odorico, Sara Dutton Sackett, Ying Zhou and David Vereide. Their work appears in journals such as Stem Cell Reports, Nature Communications, Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal of Medicinal Chemistry and PLoS ONE.

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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