Jacquelyn J. Bower
- Co-authors
- Stephen S. LeonardXianglin ShiB. Matthew FaganRaluca DumitruLarysa PevnyWilliam K. KaufmannVijay SwahariVivian Gama
- Topics
- Virus-based gene therapy research (6 papers)Corneal Surgery and Treatments (4 papers)DNA Repair Mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jacquelyn J. Bower
26 papers receiving 666 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 428
- Oncology 105
- Health, Toxicology and Mutagenesis 87
- Genetics 79
- Cancer Research 74
Countries citing papers authored by Jacquelyn J. Bower
This map shows the geographic impact of Jacquelyn J. Bower'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 Jacquelyn J. Bower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn J. Bower more than expected).
Fields of papers citing papers by Jacquelyn J. Bower
This network shows the impact of papers produced by Jacquelyn J. Bower. 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 Jacquelyn J. Bower. The network helps show where Jacquelyn J. Bower may publish in the future.
Co-authorship network of co-authors of Jacquelyn J. Bower
This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn J. Bower. A scholar is included among the top collaborators of Jacquelyn J. Bower based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacquelyn J. Bower. Jacquelyn J. Bower is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | Intracorneal sequential dosing of AAV-ArsB clears corneal opacity associated with mucopolysaccharidosis VI in a feline model | 2 |
| 8 | Prevention of experimental autoimmune uveitis by intravitreal AAV-EqIL-10 | 3 |
| 9 | 11 | |
| 10 | 20 | |
| 11 | 48 | |
| 12 | 127 | |
| 13 | 5 | |
| 14 | 24 | |
| 15 | 71 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 109 | |
| 20 | 29 |
About Jacquelyn J. Bower
Jacquelyn J. Bower is a scholar working on Ophthalmology, Immunology and Physiology, having authored 27 papers that have together received 678 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Corneal Surgery and Treatments (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (87 citations), Molecular Biology (428 citations) and Cancer Research (74 citations). Jacquelyn J. Bower has collaborated with scholars based in United States, China and France. Frequent co-authors include Stephen S. Leonard, Xianglin Shi, B. Matthew Fagan, Raluca Dumitru, Larysa Pevny, William K. Kaufmann, Vijay Swahari, Vivian Gama, Mohanish Deshmukh and Marila Cordeiro‐Stone. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.