Matthew J. Tyska
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 26
- Cellular transport and secretion 13
- Microtubule and mitosis dynamics 6
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 8
- Cancer Research top 2%
- Molecular Biology top 2%
- Muscle Physiology and Disorders 20
- Wnt/β-catenin signaling in development and cancer 6
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- Cardiomyopathy and Myosin Studies 22
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- Force Microscopy Techniques and Applications 5
- Co-authors
- Russell E. McConnellMark S. MoosekerNathan E. Grega‐LarsonDavid M. WarshawScott W. CrawleyRajalakshmi NambiarRobert J. CoffeyDavid A. Shifrin
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Matthew J. Tyska
82 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 1.3k
- Immunology and Allergy 362
- Cancer Research 711
- Molecular Biology 2.9k
- Cardiology and Cardiovascular Medicine 914
Countries citing papers authored by Matthew J. Tyska
This map shows the geographic impact of Matthew J. Tyska'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. Tyska 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. Tyska more than expected).
Fields of papers citing papers by Matthew J. Tyska
This network shows the impact of papers produced by Matthew J. Tyska. 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. Tyska. The network helps show where Matthew J. Tyska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Tyska, 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 | 2025 | 0 | |
| 2 | Blebbisomes are large, organelle-rich extracellular vesicles with cell-like propertiesbreakdown → | 2025 | 20 |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 46 | |
| 11 | 2017 | 37 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 11 | |
| 14 | 2012 | 51 | |
| 15 | 2012 | 85 | |
| 16 | 2010 | 42 | |
| 17 | 2007 | 77 | |
| 18 | 2006 | 75 | |
| 19 | 2005 | 146 | |
| 20 | 1999 | 101 |
About Matthew J. Tyska
Matthew J. Tyska is a scholar working on Cell Biology, Immunology and Allergy and Aging, having authored 90 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (26 papers), Cardiomyopathy and Myosin Studies (22 papers), Muscle Physiology and Disorders (20 papers), Cellular transport and secretion (13 papers), Cell Adhesion Molecules Research (8 papers), Microtubule and mitosis dynamics (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Force Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Cell Biology (1.3k citations), Immunology and Allergy (362 citations) and Cancer Research (711 citations). Matthew J. Tyska has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Russell E. McConnell, Mark S. Mooseker, Nathan E. Grega‐Larson, David M. Warshaw, Scott W. Crawley, Rajalakshmi Nambiar, Robert J. Coffey, David A. Shifrin, Alissa M. Weaver and Daisuke Hoshino. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.