Jane Owens

812 citations
26 papers · 583 · h-index 15

Impact in

    • Muscle Physiology and Disorders
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

Jane Owens

25 papers receiving 574 citations

Peers

Jane Owens
Comparison fields: 5 of 96
  • Molecular Biology 382
  • Genetics 47
  • Cell Biology 69
  • Rehabilitation 28
  • Physiology 100
Replace Akira Takeda with:
Akira Takeda Japan
Michael Wassler United States
Howard Doong United States
Melissa R. Pergande United States
Doris Cerecedo Mexico
Johanne D. Laporte United States
Daniel Bandarra United Kingdom
Pyotr A. Tyurin‐Kuzmin Russia
Vivek K. Vishnudas United States
Mark Velleca United States
Jane Owens relative to Akira Takeda Japan Akira Takeda's profile →
Citations per field
00.5×1.5×2.1×
Akira Takeda · 1×
Citations per year

Countries citing papers authored by Jane Owens

Since Specialization
Citations

This map shows the geographic impact of Jane Owens'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 Jane Owens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Owens more than expected).

Fields of papers citing papers by Jane Owens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Owens. 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 Jane Owens. The network helps show where Jane Owens may publish in the future.

Co-authors

The 25 scholars most cited alongside Jane Owens, 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 Jane Owens Line = papers co-authored together Jane Owens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 202158
3 201149
4 201944
5 202044
6 201634
7 201432
8 201327
9 201726
10 201725
11 201924
12 200718
13 200118
14 202117
15 200117
16 202013
17 202312
18 202212
19 202010
20 20066

About Jane Owens

Jane Owens is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 26 papers that have together received 583 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Cardiomyopathy and Myosin Studies (5 papers), Virus-based gene therapy research (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Photochemistry and Electron Transfer Studies (2 papers), RNA Research and Splicing (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (382 citations), Genetics (47 citations), Cell Biology (69 citations), Rehabilitation (28 citations) and Physiology (100 citations). Jane Owens has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Carl Morris, Peter Bialek, Nicolas Christoforou, Charles P. Emerson, Christopher M. Brennan, Todd J. Martı́nez, Chutintorn Punwong, Gerard Bain, Jeremy Wellen and Alan Opsahl. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, JCI Insight, Molecular Therapy, Human Molecular Genetics and Journal of Neuromuscular Diseases.

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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