Samuel E. Navon

698 citations
25 papers · 553 · h-index 11

Impact in

Papers in

Samuel E. Navon

25 papers receiving 537 citations

Peers

Samuel E. Navon
Comparison fields: 5 of 70
  • Ophthalmology 141
  • Radiology, Nuclear Medicine and Imaging 221
  • Molecular Biology 302
  • Cell Biology 66
  • Cellular and Molecular Neuroscience 70
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J.C. Jeanny France
S. Tout Australia
Georgia J. Lind United States
Bhairavi Bhatia United Kingdom
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Citations per year

Countries citing papers authored by Samuel E. Navon

Since Specialization
Citations

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

Fields of papers citing papers by Samuel E. Navon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Samuel E. Navon, 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 Samuel E. Navon Line = papers co-authored together Samuel E. Navon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression of cell cycle-associated proteins in human and rabbit corneal endothelium in situ.
1996148
2 1987105
3 198463
4 198849
5 199720
6 198919
7 198719
8 202018
9
Characterization of a phosphodiesterase-immunoreactive polypeptide from rod photoreceptors of developing rd mouse retinas.
198818
10 199717
11 199514
12 198110
13 19879
14 20198
15 19948
16 20197
17 20194
18 20194
19 19943
20 19943

About Samuel E. Navon

Samuel E. Navon is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Cell Biology, having authored 25 papers that have together received 553 indexed citations. Recurring topics across this work include Corneal surgery and disorders (9 papers), Intraocular Surgery and Lenses (8 papers), Retinal Development and Disorders (6 papers), Traumatic Ocular and Foreign Body Injuries (4 papers), Corneal Surgery and Treatments (4 papers), Ophthalmology and Visual Impairment Studies (4 papers), Receptor Mechanisms and Signaling (4 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Ophthalmology (141 citations), Radiology, Nuclear Medicine and Imaging (221 citations), Molecular Biology (302 citations), Cell Biology (66 citations) and Cellular and Molecular Neuroscience (70 citations). Samuel E. Navon has collaborated with scholars based in United States, Russia and Saudi Arabia. Frequent co-authors include B K Fung, James D. Zieske, Nancy C. Joyce, Soumyabrata Roy, Prateek Agarwal, Richard N. Lolley, Scott D. Smith, Yee-Kin Ho, Rehwa H. Lee and B. M. Brown. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cataract & Refractive Surgery, Ophthalmic Epidemiology, Ophthalmic surgery, lasers & imaging retina and Experimental Eye Research.

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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