Ethan S. Lippmann

4.2k total citations · 1 hit paper
60 papers, 2.8k citations indexed

About

Ethan S. Lippmann is a scholar working on Molecular Biology, Biomedical Engineering and Neurology. According to data from OpenAlex, Ethan S. Lippmann has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Biomedical Engineering and 17 papers in Neurology. Recurrent topics in Ethan S. Lippmann's work include Pluripotent Stem Cells Research (19 papers), 3D Printing in Biomedical Research (17 papers) and Barrier Structure and Function Studies (16 papers). Ethan S. Lippmann is often cited by papers focused on Pluripotent Stem Cells Research (19 papers), 3D Printing in Biomedical Research (17 papers) and Barrier Structure and Function Studies (16 papers). Ethan S. Lippmann collaborates with scholars based in United States, Philippines and Spain. Ethan S. Lippmann's co-authors include Eric V. Shusta, Sean P. Palecek, Abraham Al‐Ahmad, Samira M. Azarin, Jennifer E. Kay, Randolph S. Ashton, R. Neßler, Hannah K. Wilson, Emma H. Neal and Aaron B. Bowman and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Ethan S. Lippmann

57 papers receiving 2.8k citations

Hit Papers

Derivation of blood-brain barrier endothelial cells from ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan S. Lippmann United States 22 1.3k 1.1k 892 399 363 60 2.8k
Michael Synowitz Germany 33 1.3k 1.0× 1.1k 1.0× 277 0.3× 438 1.1× 726 2.0× 116 4.3k
Takashi Kanda Japan 36 904 0.7× 1.0k 0.9× 349 0.4× 635 1.6× 396 1.1× 143 3.8k
Yasuteru Sano Japan 30 901 0.7× 1.1k 0.9× 306 0.3× 461 1.2× 377 1.0× 79 2.9k
Yaohui Tang China 34 1.7k 1.3× 1.4k 1.3× 504 0.6× 393 1.0× 89 0.2× 96 3.9k
Maarja Andaloussi Mäe Sweden 21 1.9k 1.5× 1.6k 1.4× 238 0.3× 409 1.0× 461 1.3× 31 4.1k
Karin Strittmatter Switzerland 16 1.3k 1.0× 1.3k 1.1× 270 0.3× 295 0.7× 792 2.2× 20 3.3k
Peng Jiang China 33 2.4k 1.9× 432 0.4× 455 0.5× 419 1.1× 441 1.2× 106 3.8k
Xiaodan Jiang China 30 1.5k 1.2× 400 0.4× 298 0.3× 429 1.1× 220 0.6× 115 3.3k
Jane Loughlin United Kingdom 20 822 0.6× 631 0.6× 193 0.2× 511 1.3× 345 1.0× 31 2.4k
Christian Bernreuther Germany 34 1.4k 1.1× 680 0.6× 185 0.2× 654 1.6× 336 0.9× 75 3.3k

Countries citing papers authored by Ethan S. Lippmann

Since Specialization
Citations

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

Fields of papers citing papers by Ethan S. Lippmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan S. Lippmann. 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 Ethan S. Lippmann. The network helps show where Ethan S. Lippmann may publish in the future.

Co-authorship network of co-authors of Ethan S. Lippmann

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan S. Lippmann. A scholar is included among the top collaborators of Ethan S. Lippmann 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 Ethan S. Lippmann. Ethan S. Lippmann 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.
Francini, Nora, et al.. (2025). Targeted lipid‐siRNA complexes for Spp1 silencing in Alzheimer's Disease. Alzheimer s & Dementia. 21(S7). e109009–e109009.
3.
Chavarria, Daniel, et al.. (2025). Modular cone-and-plate device for mechanofluidic assays in Transwell inserts. Frontiers in Bioengineering and Biotechnology. 13. 1494553–1494553. 2 indexed citations
4.
Palsa, Kondaiah, Hyosung Kim, Ethan S. Lippmann, et al.. (2023). Amyloid‐β exposed astrocytes induce iron transport from endothelial cells at the blood–brain barrier by altering the ratio of apo‐ and holo‐transferrin. Journal of Neurochemistry. 167(2). 248–261. 12 indexed citations
5.
Kim, Hyosung, Kun Leng, Jinhee Park, et al.. (2022). Reactive astrocytes transduce inflammation in a blood-brain barrier model through a TNF-STAT3 signaling axis and secretion of alpha 1-antichymotrypsin. Nature Communications. 13(1). 6581–6581. 99 indexed citations
6.
Challa, Anup P., Xinnan Niu, Etoi Garrison, et al.. (2022). Medication history-wide association studies for pharmacovigilance of pregnant patients. SHILAP Revista de lepidopterología. 2(1). 115–115. 3 indexed citations
7.
Neal, Emma H., et al.. (2021). Influence of basal media composition on barrier fidelity within human pluripotent stem cell‐derived blood‐brain barrier models. Journal of Neurochemistry. 159(6). 980–991. 10 indexed citations
8.
Lippmann, Ethan S., Samira M. Azarin, Sean P. Palecek, & Eric V. Shusta. (2020). Commentary on human pluripotent stem cell-based blood–brain barrier models. Fluids and Barriers of the CNS. 17(1). 64–64. 72 indexed citations
9.
Sorets, Alexander G., et al.. (2020). Caveolae-mediated transport at the injured blood–brain barrier as an underexplored pathway for central nervous system drug delivery. Current Opinion in Chemical Engineering. 30. 86–95. 19 indexed citations
10.
Challa, Anup P., Robert R. Lavieri, Ethan S. Lippmann, et al.. (2020). EHRs could clarify drug safety in pregnant people. Nature Medicine. 26(6). 820–821. 2 indexed citations
11.
Challa, Anup P., Andrew L. Beam, Min Shen, et al.. (2020). Machine learning on drug-specific data to predict small molecule teratogenicity. Reproductive Toxicology. 95. 148–158. 18 indexed citations
12.
Bakooshli, Mohsen Afshar, Ethan S. Lippmann, Ben Mulcahy, et al.. (2019). A 3D culture model of innervated human skeletal muscle enables studies of the adult neuromuscular junction. eLife. 8. 187 indexed citations
13.
Balikov, Daniel A., et al.. (2019). Spatiotemporal control and modeling of morphogen delivery to induce gradient patterning of stem cell differentiation using fluidic channels. Biomaterials Science. 7(4). 1358–1371. 17 indexed citations
14.
Balikov, Daniel A., Emma H. Neal, & Ethan S. Lippmann. (2019). Organotypic Neurovascular Models: Past Results and Future Directions. Trends in Molecular Medicine. 26(3). 273–284. 13 indexed citations
15.
Ou, Yu‐Chuan, Joseph A. Webb, C. O’Brien, et al.. (2018). Diagnosis of immunomarkersin vivo viamultiplexed surface enhanced Raman spectroscopy with gold nanostars. Nanoscale. 10(27). 13092–13105. 51 indexed citations
16.
Faley, Shannon L., et al.. (2018). A Customizable, Low-Cost Perfusion System for Sustaining Tissue Constructs. SLAS TECHNOLOGY. 23(6). 592–598. 9 indexed citations
17.
Faley, Shannon L., et al.. (2018). Modeling Neurovascular Disorders and Therapeutic Outcomes with Human-Induced Pluripotent Stem Cells. Frontiers in Bioengineering and Biotechnology. 5. 87–87. 21 indexed citations
18.
Lippmann, Ethan S., Samira M. Azarin, Jennifer E. Kay, et al.. (2012). Derivation of blood-brain barrier endothelial cells from human pluripotent stem cells. Nature Biotechnology. 30(8). 783–791. 563 indexed citations breakdown →
19.
Lippmann, Ethan S., Christian Weidenfeller, Clive N. Svendsen, & Eric V. Shusta. (2011). Blood–brain barrier modeling with co‐cultured neural progenitor cell‐derived astrocytes and neurons. Journal of Neurochemistry. 119(3). 507–520. 64 indexed citations
20.
Agarwal, Nitin, Ethan S. Lippmann, & Eric V. Shusta. (2009). Identification and expression profiling of blood–brain barrier membrane proteins. Journal of Neurochemistry. 112(3). 625–635. 32 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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