Lisa Sharek
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Cellular Mechanics and Interactions 5
- Hippo pathway signaling and YAP/TAZ 2
- Microtubule and mitosis dynamics 2
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- Wnt/β-catenin signaling in development and cancer 2
- Nuclear Structure and Function 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Keith Burridge (8 shared papers)Rafael García‐Mata (5 shared papers)Christophe Guilluy (2 shared papers)Richard Superfine (3 shared papers)Lukas D. Osborne (1 shared paper)Laurianne Van Landeghem (1 shared paper)James E. Bear (2 shared papers)Julie Staub (1 shared paper)
- Journals
- PLoS ONE (3 papers)The Journal of Cell Biology (1 paper)PLoS Pathogens (1 paper)Nature Cell Biology (1 paper)Blood (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Lisa Sharek
11 papers receiving 858 citations
Lisa Sharek's Hit Papers
Peers
Comparison fields: 5 of 79
- Cell Biology 471
- Immunology and Allergy 79
- Molecular Biology 530
- Oncology 141
- Cancer Research 61
Countries citing papers authored by Lisa Sharek
This map shows the geographic impact of Lisa Sharek'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 Lisa Sharek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Sharek more than expected).
Fields of papers citing papers by Lisa Sharek
This network shows the impact of papers produced by Lisa Sharek. 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 Lisa Sharek. The network helps show where Lisa Sharek may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Sharek, 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 | Isolated nuclei adapt to force and reveal a mechanotransduction pathway in the nucleus Hit paper breakdown → | 2014 | 457 |
| 2 | 2013 | 101 | |
| 3 | 2018 | 80 | |
| 4 | 2011 | 39 | |
| 5 | 2007 | 39 | |
| 6 | 2011 | 39 | |
| 7 | 2012 | 33 | |
| 8 | 2007 | 29 | |
| 9 | 2013 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2025 | 1 |
About Lisa Sharek
Lisa Sharek is a scholar working on Cell Biology, Molecular Biology, Oncology, Immunology and Allergy and Immunology, having authored 11 papers that have together received 865 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Nuclear Structure and Function (2 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Microtubule and mitosis dynamics (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Cell Biology (471 citations), Immunology and Allergy (79 citations), Molecular Biology (530 citations), Oncology (141 citations) and Cancer Research (61 citations). Lisa Sharek has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Keith Burridge, Rafael García‐Mata, Christophe Guilluy, Richard Superfine, Lukas D. Osborne, Laurianne Van Landeghem, James E. Bear, Julie Staub, Raúl Urrutia and Rosa F. Hwang. Their work appears in journals such as PLoS ONE, The Journal of Cell Biology, PLoS Pathogens, Nature Cell Biology and Blood.
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.