Matthew Raab
Impact in
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Cellular Mechanics and Interactions 8
- Microtubule and mitosis dynamics 2
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- Nuclear Structure and Function 3
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
- Signaling Pathways in Disease 1
- Co-authors
- Dennis E. Discher (6 shared papers)Hawa Racine Thiam (3 shared papers)Ana‐Maria Lennon‐Duménil (3 shared papers)Pablo Vargas (2 shared papers)Franziska Lautenschlaeger (2 shared papers)Raphaël Voituriez (2 shared papers)Christine C. Krieger (1 shared paper)Joseph W. Sanger (1 shared paper)
- Journals
- Nature Communications (2 papers)The Journal of Cell Biology (1 paper)Biotechnology and Bioengineering (1 paper)Science (1 paper)Integrative Biology (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Matthew Raab
11 papers receiving 2.5k citations
Matthew Raab's Hit Papers
Peers
Comparison fields: 5 of 107
- Cell Biology 1.5k
- Immunology and Allergy 191
- Biomaterials 279
- Biomedical Engineering 850
- Molecular Biology 1.1k
Countries citing papers authored by Matthew Raab
This map shows the geographic impact of Matthew Raab'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 Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Raab more than expected).
Fields of papers citing papers by Matthew Raab
This network shows the impact of papers produced by Matthew Raab. 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 Raab. The network helps show where Matthew Raab may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Raab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Embryonic cardiomyocytes beat best on a matrix with heart-like elasticity: scar-like rigidity inhibits beating Hit paper breakdown → | 2008 | 667 |
| 2 | ESCRT III repairs nuclear envelope ruptures during cell migration to limit DNA damage and cell death Hit paper breakdown → | 2016 | 657 |
| 3 | 2015 | 304 | |
| 4 | 2016 | 263 | |
| 5 | 2012 | 227 | |
| 6 | 2015 | 98 | |
| 7 | 2018 | 97 | |
| 8 | 2012 | 95 | |
| 9 | 2017 | 50 | |
| 10 | 2016 | 31 | |
| 11 | 2007 | 24 |
About Matthew Raab
Matthew Raab is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Surgery and Condensed Matter Physics, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), 3D Printing in Biomedical Research (4 papers), Nuclear Structure and Function (3 papers), RNA Interference and Gene Delivery (2 papers), Microtubule and mitosis dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Signaling Pathways in Disease (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cell Biology (1.5k citations), Immunology and Allergy (191 citations), Biomaterials (279 citations), Biomedical Engineering (850 citations) and Molecular Biology (1.1k citations). Matthew Raab has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Dennis E. Discher, Hawa Racine Thiam, Ana‐Maria Lennon‐Duménil, Pablo Vargas, Franziska Lautenschlaeger, Raphaël Voituriez, Christine C. Krieger, Joseph W. Sanger, Colin P. Johnson and David W. Speicher. Their work appears in journals such as Nature Communications, The Journal of Cell Biology, Biotechnology and Bioengineering, Science and Integrative 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.