Ann E. Davidson
- Cell Biology top 5%
- Cellular transport and secretion 3
- Zebrafish Biomedical Research Applications 3
- Molecular Biology top 10%
- Muscle Physiology and Disorders 6
- CRISPR and Genetic Engineering 5
- RNA Interference and Gene Delivery 4
- Congenital heart defects research 4
- Genetics top 10%
- Animal Genetics and Reproduction 5
- Biophysics top 10%
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- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Stephen C. EkkerDarius BalčiūnasSpencer HermansonSridhar SivasubbuJames J. DowlingPerry B. HackettA. E. StuartJennifer Shaffer
- Journals
- Journal of Visualized Experiments (4 papers)The Journal of Pathology (3 papers)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ann E. Davidson
24 papers receiving 1000 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 334
- Molecular Biology 842
- Genetics 335
- Aging 14
- Biophysics 31
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-authorship network
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 | 2022 | 5 | |
| 2 | 2015 | 30 | |
| 3 | 2015 | 15 | |
| 4 | 2015 | 3 | |
| 5 | 2014 | 56 | |
| 6 | 2013 | 13 | |
| 7 | 2013 | 17 | |
| 8 | 2013 | 7 | |
| 9 | 2012 | 69 | |
| 10 | 2009 | 3 | |
| 11 | 2006 | 93 | |
| 12 | 2006 | 1 | |
| 13 | 2004 | 30 | |
| 14 | 2004 | 141 | |
| 15 | 2003 | 183 | |
| 16 | 2002 | 165 | |
| 17 | 2001 | 55 | |
| 18 | 1971 | 3 | |
| 19 | 1971 | 17 | |
| 20 | The effect of intravenous cholesterol oleate on the phagocytic function of the reticulo-endothelial system. | 1963 | 2 |
About Ann E. Davidson
Ann E. Davidson is a scholar working on Cell Biology, Biophysics and Molecular Biology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (5 papers), RNA Interference and Gene Delivery (4 papers), Congenital heart defects research (4 papers), Cellular transport and secretion (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Cell Biology (334 citations), Molecular Biology (842 citations) and Genetics (335 citations). Ann E. Davidson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen C. Ekker, Darius Balčiūnas, Spencer Hermanson, Sridhar Sivasubbu, James J. Dowling, Perry B. Hackett, A. E. Stuart, Jennifer Shaffer, Kenneth R. Finley and Eric J. Horstick. Their work appears in journals such as Journal of Visualized Experiments, The Journal of Pathology, Human Molecular Genetics, Disease Models & Mechanisms and BioTechniques.
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.