Ann E. Davidson

1.6k citations
24 papers · 1.0k · h-index 15

Impact in

    • Zebrafish Biomedical Research Applications
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Muscle Physiology and Disorders

Papers in

    • Muscle Physiology and Disorders 6
    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 4
    • Congenital heart defects research 4
    • Zebrafish Biomedical Research Applications 3
    • Cellular transport and secretion 3

Ann E. Davidson

24 papers receiving 1000 citations

Peers

Ann E. Davidson
Comparison fields: 5 of 79
  • Cell Biology 334
  • Molecular Biology 842
  • Genetics 335
  • Aging 14
  • Biophysics 31
Replace Jarryd M. Campbell with:
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Ann E. Davidson relative to Jarryd M. Campbell United States Jarryd M. Campbell's profile →
Citations per field
00.5×3.9×
Jarryd M. Campbell · 1×
Citations per year

Countries citing papers authored by Ann E. Davidson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ann E. Davidson Line = papers co-authored together Ann E. Davidson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003183
2 2002165
3 2004141
4 200693
5 201670
6 201269
7 201456
8 200155
9 201336
10 200430
11 201530
12 196418
13 201317
14 197117
15 201515
16 201313
17 20137
18 20225
19 19714
20 20093

About Ann E. Davidson

Ann E. Davidson is a scholar working on Molecular Biology, Cell Biology, Genetics, Cardiology and Cardiovascular Medicine and Surgery, 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), Cardiomyopathy and Myosin Studies (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (334 citations), Molecular Biology (842 citations), Genetics (335 citations), Aging (14 citations) and Biophysics (31 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, Sridhar Sivasubbu, Spencer Hermanson, 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.

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