Ethan S. Lippmann
- Molecular Biology top 5%
- Neurology top 0.5%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Eric V. ShustaSean P. PalecekAbraham Al‐AhmadSamira M. AzarinJennifer E. KayRandolph S. AshtonR. NeßlerHannah K. Wilson
- Topics
- Pluripotent Stem Cells Research (19 papers)3D Printing in Biomedical Research (17 papers)Barrier Structure and Function Studies (16 papers)
- Partner nations
- United StatesPhilippinesSpain
In The Last Decade
Ethan S. Lippmann
57 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.3k
- Neurology 1.1k
- Biomedical Engineering 892
- Cellular and Molecular Neuroscience 399
- Oncology 363
Countries citing papers authored by Ethan S. Lippmann
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 99 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 72 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 187 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 51 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | Derivation of blood-brain barrier endothelial cells from human pluripotent stem cellsbreakdown → | 563 |
| 19 | 64 | |
| 20 | 32 |
About Ethan S. Lippmann
Ethan S. Lippmann is a scholar working on Neurology, Developmental Neuroscience and Aging, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), 3D Printing in Biomedical Research (17 papers) and Barrier Structure and Function Studies (16 papers). The work is most often cited by research in Neurology (1.1k citations), Developmental Neuroscience (247 citations) and Cellular and Molecular Neuroscience (399 citations). Ethan S. Lippmann has collaborated with scholars based in United States, Philippines and Spain. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Medicine.
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.