Ann E. Davidson
Impact in
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
- Genetics top 10%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Genomics and Rare Diseases
Papers in
- Cell Biology 11
- Zebrafish Biomedical Research Applications 11
-
- Muscle Physiology and Disorders 10
- Co-authors
- Stephen C. Ekker (6 shared papers)Darius Balciunas (4 shared papers)Spencer Hermanson (4 shared papers)Sridhar Sivasubbu (4 shared papers)James J. Dowling (9 shared papers)Perry B. Hackett (2 shared papers)Deanna Mohn (1 shared paper)Jennifer Shaffer (1 shared paper)
- Journals
- Journal of Visualized Experiments (4 papers)Journal of Clinical Investigation (3 papers)Disease Models & Mechanisms (1 paper)BioTechniques (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ann E. Davidson
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Cell Biology 407
- Genetics 343
- Molecular Biology 673
- Genetics 52
- Biophysics 23
Countries citing papers authored by Ann E. Davidson
This map shows the geographic impact of Ann E. Davidson'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 Ann E. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann E. Davidson more than expected).
Fields of papers citing papers by Ann E. Davidson
This network shows the impact of papers produced by Ann E. Davidson. 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 Ann E. Davidson. The network helps show where Ann E. Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann E. Davidson, 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 | 2003 | 189 | |
| 2 | 2014 | 174 | |
| 3 | 2002 | 169 | |
| 4 | 2004 | 140 | |
| 5 | 2006 | 96 | |
| 6 | 2016 | 81 | |
| 7 | 2012 | 77 | |
| 8 | 2014 | 61 | |
| 9 | 2001 | 58 | |
| 10 | 2013 | 48 | |
| 11 | 2013 | 40 | |
| 12 | 2004 | 31 | |
| 13 | 2015 | 27 | |
| 14 | 2013 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2015 | 17 | |
| 17 | 2013 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2015 | 4 | |
| 20 | 2025 | 0 |
About Ann E. Davidson
Ann E. Davidson is a scholar working on Cell Biology, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Biophysics, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Muscle Physiology and Disorders (10 papers), Animal Genetics and Reproduction (3 papers), Congenital gastrointestinal and neural anomalies (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Neurogenetic and Muscular Disorders Research (1 paper), Lysosomal Storage Disorders Research (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cell Biology (407 citations), Genetics (343 citations), Molecular Biology (673 citations), Genetics (52 citations) and Biophysics (23 citations). Ann E. Davidson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen C. Ekker, Darius Balciunas, Spencer Hermanson, Sridhar Sivasubbu, James J. Dowling, Perry B. Hackett, Deanna Mohn, Jennifer Shaffer, Kenneth R. Finley and Eric James Horstick. Their work appears in journals such as Journal of Visualized Experiments, Journal of Clinical Investigation, Disease Models & Mechanisms, BioTechniques and Mechanisms of Development.
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.