Frances E. Cone

1.1k citations
15 papers · 939 · h-index 12

Impact in

Papers in

Frances E. Cone

14 papers receiving 930 citations

Peers

Frances E. Cone
Comparison fields: 5 of 57
  • Ophthalmology 658
  • Radiology, Nuclear Medicine and Imaging 260
  • Neurology 82
  • Molecular Biology 381
  • Cellular and Molecular Neuroscience 90
Replace Aritz Urcola with:
Aritz Urcola Spain
Tasneem Putliwala Sharma United States
Aimee V. Chappelow United States
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Lijun Jia United States
Ioan M Cosma United States
Wenyi Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Frances E. Cone

Since Specialization
Citations

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

Fields of papers citing papers by Frances E. Cone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances E. Cone. 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 Frances E. Cone. The network helps show where Frances E. Cone may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009200
2 2010144
3 2012105
4 2012104
5 201391
6 201062
7 201052
8 201349
9
Mice with an induced mutation in collagen 8A2 develop larger eyes and are resistant to retinal ganglion cell damage in an experimental glaucoma model.
201245
10 200933
11 201133
12 201116
13
Studies of Scleral Microstructure, Proteomic Analysis, and Biomechanical Behavior Suggest Mechanisms of Susceptibility to Experimental Glaucoma in Mice
20122
14 20112
15
CNTF Over-Expression Leads to Increased Retinal Ganglion Cell Survival in Experimental Glaucoma
20091

About Frances E. Cone

Frances E. Cone is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 939 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (14 papers), Corneal surgery and disorders (5 papers), Retinal Development and Disorders (4 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Intraocular Surgery and Lenses (2 papers), Connective tissue disorders research (2 papers), Ocular Surface and Contact Lens (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Ophthalmology (658 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Neurology (82 citations), Molecular Biology (381 citations) and Cellular and Molecular Neuroscience (90 citations). Frances E. Cone has collaborated with scholars based in United States, Finland and France. Frequent co-authors include Harry A. Quigley, Mary Ellen Pease, Scott E. Gelman, Ericka Oglesby, Matthew R. Steinhart, Donald J. Zack, Giedrius Kalesnykas, Thao D. Nguyen, Yuxia Wang and Cynthia A. Berlinicke. Their work appears in journals such as Experimental Eye Research, Investigative Ophthalmology & Visual Science, Cell and Tissue Research, PubMed and Conference proceedings of the Society for Experimental Mechanics.

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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