Alicia M. Ebert
Impact in
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- Zebrafish Biomedical Research Applications
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- Axon Guidance and Neuronal Signaling
Papers in
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- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 5
- Ion channel regulation and function 3
- Angiogenesis and VEGF in Cancer 3
- Cell Biology 13
- Zebrafish Biomedical Research Applications 10
- Hippo pathway signaling and YAP/TAZ 6
- Co-authors
- Deborah M. Garrity (5 shared papers)Bryan A. Ballif (9 shared papers)Anna M. Schmoker (5 shared papers)Gregg Siegal (1 shared paper)C. Geoffrey Burns (1 shared paper)Deborah Yelon (1 shared paper)Mark C. Fishman (1 shared paper)Kerri S. Warren (1 shared paper)
- Journals
- Developmental Dynamics (4 papers)Biophysical Journal (2 papers)FEBS Journal (2 papers)Biochemical Journal (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Alicia M. Ebert
25 papers receiving 380 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 107
- Cellular and Molecular Neuroscience 87
- Molecular Biology 264
- Cardiology and Cardiovascular Medicine 64
- Cancer Research 26
Countries citing papers authored by Alicia M. Ebert
This map shows the geographic impact of Alicia M. Ebert'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 Alicia M. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia M. Ebert more than expected).
Fields of papers citing papers by Alicia M. Ebert
This network shows the impact of papers produced by Alicia M. Ebert. 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 Alicia M. Ebert. The network helps show where Alicia M. Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Alicia M. Ebert, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 114 | |
| 2 | 2008 | 27 | |
| 3 | 2012 | 26 | |
| 4 | 2019 | 24 | |
| 5 | 2014 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2008 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2013 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 2017 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2019 | 4 |
About Alicia M. Ebert
Alicia M. Ebert is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 27 papers that have together received 381 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Axon Guidance and Neuronal Signaling (9 papers), Hippo pathway signaling and YAP/TAZ (6 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), Cardiomyopathy and Myosin Studies (3 papers), Ion channel regulation and function (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cell Biology (107 citations), Cellular and Molecular Neuroscience (87 citations), Molecular Biology (264 citations), Cardiology and Cardiovascular Medicine (64 citations) and Cancer Research (26 citations). Alicia M. Ebert has collaborated with scholars based in United States and Canada. Frequent co-authors include Deborah M. Garrity, Bryan A. Ballif, Anna M. Schmoker, Gregg Siegal, C. Geoffrey Burns, Deborah Yelon, Mark C. Fishman, Kerri S. Warren, Sarah McFarlane and Christopher S. Francklyn. Their work appears in journals such as Developmental Dynamics, Biophysical Journal, FEBS Journal, Biochemical Journal and Proceedings of the National Academy of Sciences.
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.