Matthew J. Stebbins

2.0k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Matthew J. Stebbins is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Matthew J. Stebbins has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Matthew J. Stebbins's work include Barrier Structure and Function Studies (8 papers), Hedgehog Signaling Pathway Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Matthew J. Stebbins is often cited by papers focused on Barrier Structure and Function Studies (8 papers), Hedgehog Signaling Pathway Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Matthew J. Stebbins collaborates with scholars based in United States, France and Taiwan. Matthew J. Stebbins's co-authors include Eric V. Shusta, Sean P. Palecek, Scott G. Canfield, H.‐J. Galla, Carola Y. Förster, Roméo Cecchelli, Birger Brodin, Hans Christian Cederberg Helms, Elodie Vandenhaute and N. Joan Abbott and has published in prestigious journals such as Journal of Neurochemistry, Science Advances and Applied Microbiology and Biotechnology.

In The Last Decade

Matthew J. Stebbins

11 papers receiving 1.4k citations

Hit Papers

In vitro models of the bl... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Stebbins United States 11 715 596 385 222 168 11 1.4k
Marco Metzger Germany 22 248 0.3× 421 0.7× 307 0.8× 182 0.8× 107 0.6× 56 1.6k
Kentaro Hayashi Japan 13 538 0.8× 357 0.6× 106 0.3× 165 0.7× 137 0.8× 26 1.0k
Xing Yang China 21 274 0.4× 649 1.1× 211 0.5× 87 0.4× 69 0.4× 65 1.6k
Fengqiao Li China 28 199 0.3× 1.2k 2.0× 343 0.9× 169 0.8× 185 1.1× 36 2.1k
Guodong Sun China 25 153 0.2× 817 1.4× 160 0.4× 174 0.8× 180 1.1× 75 1.8k
Henriëtte L. Lanz Netherlands 19 173 0.2× 611 1.0× 1.3k 3.4× 340 1.5× 298 1.8× 45 1.9k
Clara Ballerini Italy 28 222 0.3× 684 1.1× 86 0.2× 237 1.1× 110 0.7× 78 1.8k
Christian Kaltschmidt Germany 24 180 0.3× 937 1.6× 123 0.3× 218 1.0× 236 1.4× 68 2.0k
Xiujie Liu China 23 87 0.1× 829 1.4× 495 1.3× 173 0.8× 212 1.3× 78 2.2k
Stephana Carelli Italy 27 97 0.1× 1.0k 1.7× 222 0.6× 185 0.8× 284 1.7× 95 2.2k

Countries citing papers authored by Matthew J. Stebbins

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Stebbins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Stebbins

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Stebbins. A scholar is included among the top collaborators of Matthew J. Stebbins 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 J. Stebbins. Matthew J. Stebbins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
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
2.
Lee, Ming‐Song, Matthew J. Stebbins, Hongli Jiao, et al.. (2021). Comparative evaluation of isogenic mesodermal and ectomesodermal chondrocytes from human iPSCs for cartilage regeneration. Science Advances. 7(21). 20 indexed citations
3.
Sun, Miranda, et al.. (2020). Sonic Hedgehog Signaling in Cranial Neural Crest Cells Regulates Microvascular Morphogenesis in Facial Development. Frontiers in Cell and Developmental Biology. 8. 590539–590539. 13 indexed citations
5.
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
6.
8.
Helms, Hans Christian Cederberg, N. Joan Abbott, Małgorzata Burek, et al.. (2016). In vitro models of the blood–brain barrier: An overview of commonly used brain endothelial cell culture models and guidelines for their use. Journal of Cerebral Blood Flow & Metabolism. 36(5). 862–890. 611 indexed citations breakdown →
9.
Canfield, Scott G., Matthew J. Stebbins, Shusaku Asai, et al.. (2016). An isogenic blood–brain barrier model comprising brain endothelial cells, astrocytes, and neurons derived from human induced pluripotent stem cells. Journal of Neurochemistry. 140(6). 874–888. 199 indexed citations
10.
Stebbins, Matthew J., Hannah K. Wilson, Scott G. Canfield, et al.. (2015). Differentiation and characterization of human pluripotent stem cell-derived brain microvascular endothelial cells. Methods. 101. 93–102. 119 indexed citations
11.
Royce, Liam A., et al.. (2013). The damaging effects of short chain fatty acids on Escherichia coli membranes. Applied Microbiology and Biotechnology. 97(18). 8317–8327. 175 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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