Benjamin D. Gastfriend

1.3k total citations
20 papers, 900 citations indexed

About

Benjamin D. Gastfriend is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Benjamin D. Gastfriend has authored 20 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Benjamin D. Gastfriend's work include Barrier Structure and Function Studies (12 papers), Single-cell and spatial transcriptomics (3 papers) and Epigenetics and DNA Methylation (3 papers). Benjamin D. Gastfriend is often cited by papers focused on Barrier Structure and Function Studies (12 papers), Single-cell and spatial transcriptomics (3 papers) and Epigenetics and DNA Methylation (3 papers). Benjamin D. Gastfriend collaborates with scholars based in United States, Switzerland and France. Benjamin D. Gastfriend's co-authors include Eric V. Shusta, Sean P. Palecek, Scott G. Canfield, Matthew J. Stebbins, Hannah Song, John S. Kuo, Britta Engelhardt, Hideaki Nishihara, Richard Daneman and Wan‐Ju Li and has published in prestigious journals such as Nature Medicine, Brain and Scientific Reports.

In The Last Decade

Benjamin D. Gastfriend

19 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. Gastfriend United States 14 425 384 210 109 107 20 900
Tongcheng Qian United States 15 311 0.7× 485 1.3× 303 1.4× 125 1.1× 88 0.8× 21 1.0k
Raleigh M. Linville United States 17 487 1.1× 326 0.8× 460 2.2× 124 1.1× 191 1.8× 27 1.0k
Chengyan Chu United States 16 232 0.5× 250 0.7× 245 1.2× 73 0.7× 75 0.7× 39 888
Maj Schneider Thomsen Denmark 11 397 0.9× 341 0.9× 197 0.9× 136 1.2× 122 1.1× 19 1.0k
Jackson G. DeStefano United States 12 378 0.9× 274 0.7× 452 2.2× 101 0.9× 130 1.2× 12 832
Benoît Thezé France 17 204 0.5× 306 0.8× 150 0.7× 93 0.9× 114 1.1× 25 948
Guilong Zhang China 19 159 0.4× 571 1.5× 145 0.7× 96 0.9× 75 0.7× 31 984
Claudine Boiziau France 19 247 0.6× 737 1.9× 133 0.6× 123 1.1× 54 0.5× 43 1.4k
Nicolò Panini Italy 15 150 0.4× 373 1.0× 96 0.5× 191 1.8× 167 1.6× 33 1.0k
Ljiljana Križanac-Bengez United States 14 326 0.8× 225 0.6× 111 0.5× 101 0.9× 147 1.4× 22 891

Countries citing papers authored by Benjamin D. Gastfriend

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Gastfriend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Gastfriend. 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 Benjamin D. Gastfriend. The network helps show where Benjamin D. Gastfriend may publish in the future.

Co-authorship network of co-authors of Benjamin D. Gastfriend

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Gastfriend. A scholar is included among the top collaborators of Benjamin D. Gastfriend 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 Benjamin D. Gastfriend. Benjamin D. Gastfriend 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.
Gastfriend, Benjamin D., et al.. (2025). Transcriptional Responses of In Vitro Blood–Brain Barrier Models to Shear Stress. Biomolecules. 15(2). 193–193. 2 indexed citations
2.
Katt, Moriah E., et al.. (2025). Identification of Variable Lymphocyte Receptors That Target the Human Blood–Brain Barrier. Pharmaceutics. 17(9). 1179–1179.
3.
Gastfriend, Benjamin D., et al.. (2024). Notch3 directs differentiation of brain mural cells from human pluripotent stem cell–derived neural crest. Science Advances. 10(5). eadi1737–eadi1737. 5 indexed citations
4.
McCloskey, Molly C., Benjamin D. Gastfriend, Eric V. Shusta, et al.. (2024). Pericytes Enrich the Basement Membrane and Reduce Neutrophil Transmigration in an In Vitro Model of Peripheral Inflammation at the Blood–Brain Barrier. Biomaterials Research. 28. 81–81. 8 indexed citations
5.
Nishihara, Hideaki, Sylvain Perriot, Benjamin D. Gastfriend, et al.. (2022). Intrinsic blood–brain barrier dysfunction contributes to multiple sclerosis pathogenesis. Brain. 145(12). 4334–4348. 84 indexed citations
6.
Zhou, Ye, et al.. (2022). Antibody-Targeted Liposomes for Enhanced Targeting of the Blood-Brain Barrier. Pharmaceutical Research. 39(7). 1523–1534. 19 indexed citations
7.
Nishihara, Hideaki, et al.. (2021). Differentiation of human pluripotent stem cells to brain microvascular endothelial cell-like cells suitable to study immune cell interactions. STAR Protocols. 2(2). 100563–100563. 20 indexed citations
8.
Wang, Lu, Alex E. Clark, Sangmoon Lee, et al.. (2021). A human three-dimensional neural-perivascular ‘assembloid’ promotes astrocytic development and enables modeling of SARS-CoV-2 neuropathology. Nature Medicine. 27(9). 1600–1606. 110 indexed citations
9.
Gastfriend, Benjamin D., et al.. (2021). Differentiation of Brain Pericyte‐Like Cells from Human Pluripotent Stem Cell−Derived Neural Crest. Current Protocols. 1(1). e21–e21. 11 indexed citations
10.
Gastfriend, Benjamin D., et al.. (2021). Integrative analysis of the human brain mural cell transcriptome. Journal of Cerebral Blood Flow & Metabolism. 41(11). 3052–3068. 19 indexed citations
11.
Song, Hannah, et al.. (2020). Transcriptomic comparison of human and mouse brain microvessels. Scientific Reports. 10(1). 12358–12358. 98 indexed citations
12.
Nishihara, Hideaki, Benjamin D. Gastfriend, Sasha Soldati, et al.. (2020). Advancing human induced pluripotent stem cell‐derived blood‐brain barrier models for studying immune cell interactions. The FASEB Journal. 34(12). 16693–16715. 68 indexed citations
13.
Dickson, Matthew, et al.. (2020). Immobilized metal affinity chromatography optimization for poly-histidine tagged proteins. Journal of Chromatography A. 1629. 461505–461505. 47 indexed citations
14.
Georgieva, Julia V., et al.. (2020). Antibody screening using a human iPSC‐based blood‐brain barrier model identifies antibodies that accumulate in the CNS. The FASEB Journal. 34(9). 12549–12564. 18 indexed citations
15.
Qian, Tongcheng, et al.. (2020). Adaptable pulsatile flow generated from stem cell-derived cardiomyocytes using quantitative imaging-based signal transduction. Lab on a Chip. 20(20). 3744–3756. 9 indexed citations
16.
Lee, Myung‐Ryul, et al.. (2019). Preventing S. aureus biofilm formation on titanium surfaces by the release of antimicrobial β-peptides from polyelectrolyte multilayers. Acta Biomaterialia. 93. 50–62. 46 indexed citations
17.
Kim, Brandon J., Liwen Deng, Benjamin D. Gastfriend, et al.. (2019). Streptococcus agalactiae disrupts P-glycoprotein function in brain endothelial cells. Fluids and Barriers of the CNS. 16(1). 26–26. 19 indexed citations
18.
19.
Stebbins, Matthew J., Benjamin D. Gastfriend, Scott G. Canfield, et al.. (2019). Human pluripotent stem cell–derived brain pericyte–like cells induce blood-brain barrier properties. Science Advances. 5(3). eaau7375–eaau7375. 134 indexed citations
20.
Gastfriend, Benjamin D., Sean P. Palecek, & Eric V. Shusta. (2017). Modeling the blood–brain barrier: Beyond the endothelial cells. Current Opinion in Biomedical Engineering. 5. 6–12. 104 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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