Dennis E. Discher
Impact in
- Cell Biology top 0.01%
- Cellular Mechanics and Interactions
- Biomaterials top 0.01%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Nuclear Structure and Function 46
- Lipid Membrane Structure and Behavior 40
- Cell Biology 115
- Cellular Mechanics and Interactions 104
- Co-authors
- Adam J. Engler (22 shared papers)Shamik Sen (12 shared papers)H. Lee Sweeney (12 shared papers)Paul A. Janmey (11 shared papers)Yu-Li Wang (1 shared paper)Adi Eisenberg (1 shared paper)Fariyal Ahmed (10 shared papers)Frank S. Bates (17 shared papers)
- Journals
- Biophysical Journal (49 papers)Blood (10 papers)Journal of Cell Science (10 papers)Science (9 papers)The Journal of Cell Biology (9 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dennis E. Discher
325 papers receiving 61.2k citations
Dennis E. Discher's Hit Papers
Peers
Comparison fields: 5 of 185
- Cell Biology 18.7k
- Biomaterials 14.9k
- Surfaces, Coatings and Films 5.8k
- Molecular Medicine 2.5k
- Biomedical Engineering 21.9k
Countries citing papers authored by Dennis E. Discher
This map shows the geographic impact of Dennis E. Discher'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 Dennis E. Discher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis E. Discher more than expected).
Fields of papers citing papers by Dennis E. Discher
This network shows the impact of papers produced by Dennis E. Discher. 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 Dennis E. Discher. The network helps show where Dennis E. Discher may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis E. Discher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 330 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix Elasticity Directs Stem Cell Lineage Specification Hit paper breakdown → | 2006 | 11568 |
| 2 | Tissue Cells Feel and Respond to the Stiffness of Their Substrate Hit paper breakdown → | 2005 | 5255 |
| 3 | Polymer Vesicles Hit paper breakdown → | 2002 | 3298 |
| 4 | Shape effects of filaments versus spherical particles in flow and drug delivery Hit paper breakdown → | 2007 | 2291 |
| 5 | Polymersomes: Tough Vesicles Made from Diblock Copolymers Hit paper breakdown → | 1999 | 2263 |
| 6 | Growth Factors, Matrices, and Forces Combine and Control Stem Cells Hit paper breakdown → | 2009 | 2248 |
| 7 | Nuclear Lamin-A Scales with Tissue Stiffness and Enhances Matrix-Directed Differentiation Hit paper breakdown → | 2013 | 1566 |
| 8 | Myotubes differentiate optimally on substrates with tissue-like stiffness Hit paper breakdown → | 2004 | 1468 |
| 9 | Mesenchymal stem cell perspective: cell biology to clinical progress Hit paper breakdown → | 2019 | 1442 |
| 10 | Mitotic progression following DNA damage enables pattern recognition within micronuclei Hit paper breakdown → | 2017 | 1077 |
| 11 | Bio-inspired, bioengineered and biomimetic drug delivery carriers Hit paper breakdown → | 2011 | 1070 |
| 12 | Substrate Compliance versus Ligand Density in Cell on Gel Responses Hit paper breakdown → | 2004 | 990 |
| 13 | Minimal "Self" Peptides That Inhibit Phagocytic Clearance and Enhance Delivery of Nanoparticles Hit paper breakdown → | 2013 | 867 |
| 14 | POLYMERSOMES Hit paper breakdown → | 2006 | 761 |
| 15 | Embryonic cardiomyocytes beat best on a matrix with heart-like elasticity: scar-like rigidity inhibits beating Hit paper breakdown → | 2008 | 716 |
| 16 | Physical plasticity of the nucleus in stem cell differentiation Hit paper breakdown → | 2007 | 686 |
| 17 | Mesenchymal stem cell injection after myocardial infarction improves myocardial compliance Hit paper breakdown → | 2006 | 583 |
| 18 | Self-porating polymersomes of PEG–PLA and PEG–PCL: hydrolysis-triggered controlled release vesicles Hit paper breakdown → | 2004 | 581 |
| 19 | 2006 | 489 | |
| 20 | Nuclear lamin stiffness is a barrier to 3D migration, but softness can limit survival Hit paper breakdown → | 2014 | 476 |
About Dennis E. Discher
Dennis E. Discher is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Organic Chemistry and Physiology, having authored 330 papers that have together received 62.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (104 papers), Erythrocyte Function and Pathophysiology (52 papers), Advanced Polymer Synthesis and Characterization (47 papers), Nuclear Structure and Function (46 papers), Polymer Surface Interaction Studies (42 papers), Lipid Membrane Structure and Behavior (40 papers), 3D Printing in Biomedical Research (36 papers) and Phagocytosis and Immune Regulation (35 papers). The work is most often cited by research in Cell Biology (18.7k citations), Biomaterials (14.9k citations), Surfaces, Coatings and Films (5.8k citations), Molecular Medicine (2.5k citations) and Biomedical Engineering (21.9k citations). Dennis E. Discher has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Adam J. Engler, Shamik Sen, H. Lee Sweeney, Paul A. Janmey, Yu-Li Wang, Adi Eisenberg, Fariyal Ahmed, Frank S. Bates, Peter W. Zandstra and David Mooney. Their work appears in journals such as Biophysical Journal, Blood, Journal of Cell Science, Science and The Journal of Cell Biology.
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.