Lea D. Bennett

423 citations
17 papers · 312 · h-index 9

Impact in

Papers in

Lea D. Bennett

17 papers receiving 306 citations

Peers

Lea D. Bennett
Comparison fields: 5 of 39
  • Ophthalmology 167
  • Radiology, Nuclear Medicine and Imaging 91
  • Molecular Biology 259
  • Cellular and Molecular Neuroscience 49
  • Neurology 13
Replace Changguan Wang with:
Changguan Wang China
Young‐Joon Jo South Korea
Gwen M. Sturgill-Short United States
WU Guo-ji United States
Jian-xing Ma United States
Thuzar Thein United States
Sophie Devery United Kingdom
Mark H. Criswell United States
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Citations per field
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Citations per year

Countries citing papers authored by Lea D. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Lea D. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lea D. Bennett. 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 Lea D. Bennett. The network helps show where Lea D. Bennett may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201684
2 201836
3 201434
4 201734
5 201429
6 201624
7 201917
8 202012
9 201511
10 20207
11 20157
12 20165
13 20224
14 20213
15 20212
16
A Comparison of the Medmont Dark Adapted Chromatic Perimeter (DAC) with the Full-Field Stimulus Threshold (FST) in Subjects with Retinitis Pigmentosa (RP)
20162
17 20221

About Lea D. Bennett

Lea D. Bennett is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 17 papers that have together received 312 indexed citations. Recurring topics across this work include Retinal Development and Disorders (14 papers), Retinal Diseases and Treatments (7 papers), Retinopathy of Prematurity Studies (3 papers), Retinal and Macular Surgery (3 papers), Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Ophthalmology (167 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Molecular Biology (259 citations), Cellular and Molecular Neuroscience (49 citations) and Neurology (13 citations). Lea D. Bennett has collaborated with scholars based in United States. Frequent co-authors include David G. Birch, Mark E. Pennesi, Richard G. Weleber, Jacque L. Duncan, Martin Klein, Robert E. Anderson, Kirsten G. Locke, Richard S. Brush, Michael D. Chan and Thiran Jayasundera. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Translational Vision Science & Technology, Genes, Advances in experimental medicine and biology and Ophthalmic Genetics.

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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