Alisa E. Shaw
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Cell Biology 13
- Cellular Mechanics and Interactions 9
- Cellular transport and secretion 3
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- S100 Proteins and Annexins 3
- Co-authors
- James R. Bamburg (19 shared papers)Chi W. Pak (4 shared papers)Laurie S. Minamide (9 shared papers)Kevin C. Flynn (3 shared papers)O’Neil Wiggan (3 shared papers)Paul C. Letourneau (2 shared papers)Scott Gehler (2 shared papers)Frank Bradke (2 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Neuroscience (3 papers)Electrophoresis (1 paper)Developmental Neurobiology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Alisa E. Shaw
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Cell Biology 566
- Developmental Neuroscience 103
- Biophysics 132
- Cellular and Molecular Neuroscience 381
- Immunology and Allergy 71
Countries citing papers authored by Alisa E. Shaw
This map shows the geographic impact of Alisa E. Shaw'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 Alisa E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alisa E. Shaw more than expected).
Fields of papers citing papers by Alisa E. Shaw
This network shows the impact of papers produced by Alisa E. Shaw. 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 Alisa E. Shaw. The network helps show where Alisa E. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Alisa E. Shaw, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 153 | |
| 2 | 2010 | 139 | |
| 3 | 2004 | 102 | |
| 4 | 2009 | 99 | |
| 5 | 2012 | 84 | |
| 6 | 2010 | 78 | |
| 7 | 2005 | 68 | |
| 8 | 2012 | 63 | |
| 9 | 2014 | 57 | |
| 10 | 2013 | 44 | |
| 11 | 2017 | 41 | |
| 12 | 2004 | 38 | |
| 13 | 2020 | 36 | |
| 14 | 2003 | 28 | |
| 15 | 2018 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2013 | 18 | |
| 18 | 2024 | 9 | |
| 19 | 2003 | 5 | |
| 20 | 2024 | 5 |
About Alisa E. Shaw
Alisa E. Shaw is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), S100 Proteins and Annexins (3 papers), Cellular transport and secretion (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Nerve injury and regeneration (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cell Biology (566 citations), Developmental Neuroscience (103 citations), Biophysics (132 citations), Cellular and Molecular Neuroscience (381 citations) and Immunology and Allergy (71 citations). Alisa E. Shaw has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James R. Bamburg, Chi W. Pak, Laurie S. Minamide, Kevin C. Flynn, O’Neil Wiggan, Paul C. Letourneau, Scott Gehler, Frank Bradke, Patrick D. Sarmiere and Jennifer G. DeLuca. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, Electrophoresis, Developmental Neurobiology and Cell Reports.
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.