Matthew E. Brown

1.4k total citations
27 papers, 995 citations indexed

About

Matthew E. Brown is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Matthew E. Brown has authored 27 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Surgery and 4 papers in Biomaterials. Recurrent topics in Matthew E. Brown's work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (8 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Matthew E. Brown is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (8 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Matthew E. Brown collaborates with scholars based in United States, United Kingdom and Australia. Matthew E. Brown's co-authors include James A. Thomson, William J. Burlingham, Brian E. McIntosh, Bret Duffin, Igor I. Slukvin, Sara Dutton Sackett, Jon S. Odorico, David Vereide, John P. Maufort and Ying Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Matthew E. Brown

26 papers receiving 984 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew E. Brown United States 14 473 288 212 177 161 27 995
Vincent Sarrazy France 14 359 0.8× 216 0.8× 152 0.7× 177 1.0× 219 1.4× 19 1.2k
Camie W. Chan United States 21 727 1.5× 460 1.6× 282 1.3× 527 3.0× 124 0.8× 35 1.8k
Deborah Philp United States 18 516 1.1× 252 0.9× 336 1.6× 141 0.8× 101 0.6× 22 1.4k
Nigel G. Kooreman United States 16 633 1.3× 429 1.5× 200 0.9× 133 0.8× 162 1.0× 22 1.1k
Amanda Jiang United States 18 385 0.8× 148 0.5× 505 2.4× 78 0.4× 192 1.2× 24 1.2k
Keith Wonnacott United States 7 457 1.0× 231 0.8× 304 1.4× 158 0.9× 513 3.2× 9 1.1k
Sonja Giger Switzerland 7 480 1.0× 204 0.7× 703 3.3× 104 0.6× 434 2.7× 7 1.4k
Annele Sainio Finland 13 419 0.9× 144 0.5× 110 0.5× 81 0.5× 166 1.0× 22 1.0k
Seyedeh‐Nafiseh Hassani Iran 22 785 1.7× 177 0.6× 135 0.6× 113 0.6× 72 0.4× 68 1.2k
Haishuang Lin China 21 567 1.2× 133 0.5× 257 1.2× 91 0.5× 85 0.5× 36 921

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-authorship network of co-authors of Matthew E. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Brown. A scholar is included among the top collaborators of Matthew E. Brown 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 E. Brown. Matthew E. Brown 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
1.
Zhang, Jue, Diana M. Tabima, David Vereide, et al.. (2025). Small-diameter artery grafts engineered from pluripotent stem cells maintain 100% patency in an allogeneic rhesus macaque model. Cell Reports Medicine. 6(3). 102002–102002. 1 indexed citations
2.
Saha, Sayandeep, W. John Haynes, Jue Zhang, et al.. (2025). Diminished immune cell adhesion in hypoimmune ICAM-1 knockout human pluripotent stem cells. Nature Communications. 16(1). 7415–7415.
3.
Brown, Matthew E., et al.. (2024). The past, present, and future promise of pluripotent stem cells. PubMed. 22-23. 100077–100077. 1 indexed citations
4.
Mejía, Andrés, Jennifer M. Hayes, Heather A. Simmons, et al.. (2024). Isolation of Diverse Simian Arteriviruses Causing Hemorrhagic Disease. Emerging infectious diseases. 30(4). 721–731. 1 indexed citations
5.
Haynes, W. John, et al.. (2023). Generation of the NeoThy mouse model for human immune system studies. Lab Animal. 52(7). 149–168. 4 indexed citations
6.
Zhang, Jue, Bret Duffin, Matthew N. Bernstein, et al.. (2023). Generation of anti-GD2 CAR macrophages from human pluripotent stem cells for cancer immunotherapies. Stem Cell Reports. 18(2). 585–596. 62 indexed citations
7.
Sackett, Sara Dutton, Samuel J. Kaplan, Matthew E. Brown, et al.. (2022). Genetic Engineering of Immune Evasive Stem Cell-Derived Islets. Transplant International. 35. 10817–10817. 21 indexed citations
8.
Hess, Nicholas J, Matthew E. Brown, & Christian M. Capitini. (2021). GVHD Pathogenesis, Prevention and Treatment: Lessons From Humanized Mouse Transplant Models. Frontiers in Immunology. 12. 723544–723544. 35 indexed citations
9.
Liu, Aiping, et al.. (2020). Evolution of ischemia and neovascularization in a murine model of full thickness human wound healing. Wound Repair and Regeneration. 28(6). 812–822. 12 indexed citations
10.
Zhang, Jue, Brian E. McIntosh, Bowen Wang, et al.. (2019). A Human Pluripotent Stem Cell-Based Screen for Smooth Muscle Cell Differentiation and Maturation Identifies Inhibitors of Intimal Hyperplasia. Stem Cell Reports. 12(6). 1269–1281. 20 indexed citations
11.
Brown, Matthew E., Ying Zhou, Brian E. McIntosh, et al.. (2018). A Humanized Mouse Model Generated Using Surplus Neonatal Tissue. Stem Cell Reports. 10(4). 1175–1183. 40 indexed citations
12.
Sackett, Sara Dutton, Daniel M. Tremmel, Fengfei Ma, et al.. (2018). Extracellular matrix scaffold and hydrogel derived from decellularized and delipidized human pancreas. Scientific Reports. 8(1). 10452–10452. 207 indexed citations
13.
Zhang, Jue, Li‐Fang Chu, Zhonggang Hou, et al.. (2017). Functional characterization of human pluripotent stem cell-derived arterial endothelial cells. Proceedings of the National Academy of Sciences. 114(30). E6072–E6078. 105 indexed citations
14.
Sackett, Sara Dutton, Matthew E. Brown, Daniel M. Tremmel, et al.. (2016). Modulation of human allogeneic and syngeneic pluripotent stem cells and immunological implications for transplantation. Transplantation Reviews. 30(2). 61–70. 20 indexed citations
15.
Sullivan, James A., Ewa Jankowska−Gan, Subramanya Hegde, et al.. (2016). Th17 Responses to Collagen Type V, kα1-Tubulin, and Vimentin Are Present Early in Human Development and Persist Throughout Life. American Journal of Transplantation. 17(4). 944–956. 13 indexed citations
16.
McIntosh, Brian E. & Matthew E. Brown. (2015). No irradiation required: The future of humanized immune system modeling in murine hosts. PubMed. 6(1-2). 40–45. 11 indexed citations
17.
McIntosh, Brian E., Matthew E. Brown, Bret Duffin, et al.. (2015). Nonirradiated NOD,B6.SCID Il2rγ−/− KitW41/W41 (NBSGW) Mice Support Multilineage Engraftment of Human Hematopoietic Cells. Stem Cell Reports. 4(2). 171–180. 159 indexed citations
18.
19.
Brown, Matthew E., Deepika Rajesh, Amanda A. Mack, et al.. (2010). Derivation of Induced Pluripotent Stem Cells from Human Peripheral Blood T Lymphocytes. PLoS ONE. 5(6). e11373–e11373. 120 indexed citations
20.
Wu, Joseph C., Feng Cao, Sucharita Dutta, et al.. (2006). Proteomic analysis of reporter genes for molecular imaging of transplanted embryonic stem cells. PROTEOMICS. 6(23). 6234–6249. 41 indexed citations

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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