Robert D. Sperduto

9.4k total citations
65 papers, 5.5k citations indexed

About

Robert D. Sperduto is a scholar working on Ophthalmology, Epidemiology and Molecular Biology. According to data from OpenAlex, Robert D. Sperduto has authored 65 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Ophthalmology, 27 papers in Epidemiology and 25 papers in Molecular Biology. Recurrent topics in Robert D. Sperduto's work include Ophthalmology and Visual Impairment Studies (27 papers), Connexins and lens biology (24 papers) and Retinal Diseases and Treatments (15 papers). Robert D. Sperduto is often cited by papers focused on Ophthalmology and Visual Impairment Studies (27 papers), Connexins and lens biology (24 papers) and Retinal Diseases and Treatments (15 papers). Robert D. Sperduto collaborates with scholars based in United States, Italy and Chile. Robert D. Sperduto's co-authors include Rita Hiller, Leon B. Ellwein, Frederick L. Ferris, Emily Y. Chew, Traci E. Clemons, Sergio Muñoz, Susan Vitale, Mary Frances Cotch, Fred Ederer and John Paul SanGiovanni and has published in prestigious journals such as JAMA, American Journal of Clinical Nutrition and American Journal of Epidemiology.

In The Last Decade

Robert D. Sperduto

64 papers receiving 5.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert D. Sperduto United States 35 3.5k 2.4k 2.1k 1.5k 568 65 5.5k
Gerald Liew Australia 51 5.9k 1.7× 5.3k 2.2× 642 0.3× 1.6k 1.1× 246 0.4× 206 9.2k
Stephen Beatty Ireland 44 5.3k 1.5× 2.7k 1.2× 579 0.3× 2.4k 1.6× 2.5k 4.4× 168 7.5k
Traci E. Clemons United States 51 3.8k 1.1× 2.6k 1.1× 601 0.3× 1.3k 0.9× 446 0.8× 156 7.0k
William G. Christen United States 41 2.2k 0.6× 1.2k 0.5× 463 0.2× 1.2k 0.8× 775 1.4× 103 5.5k
John G Lawrenson United Kingdom 33 1.7k 0.5× 1.2k 0.5× 557 0.3× 642 0.4× 173 0.3× 136 3.7k
Rohit Saxena India 30 1.8k 0.5× 1.0k 0.4× 813 0.4× 365 0.2× 61 0.1× 220 3.3k
Gareth J. McKay United Kingdom 27 1.2k 0.3× 909 0.4× 213 0.1× 1.0k 0.7× 181 0.3× 145 3.2k
Janet L Leasher United States 18 2.5k 0.7× 1.9k 0.8× 1.2k 0.6× 494 0.3× 34 0.1× 27 3.6k
Holly Price United Kingdom 17 2.3k 0.7× 1.8k 0.8× 1.2k 0.6× 456 0.3× 34 0.1× 23 3.4k
Le Ma China 33 662 0.2× 377 0.2× 217 0.1× 724 0.5× 711 1.3× 107 3.1k

Countries citing papers authored by Robert D. Sperduto

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Sperduto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert D. Sperduto

This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Sperduto. A scholar is included among the top collaborators of Robert D. Sperduto 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 Robert D. Sperduto. Robert D. Sperduto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Indaram, Maanasa, Elvira Agrón, Traci E. Clemons, et al.. (2015). Changes in Lens Opacities on the Age-Related Eye Disease Study Grading Scale Predict Progression to Cataract Surgery and Vision Loss. Ophthalmology. 122(5). 888–896. 10 indexed citations
2.
Koo, Euna, Jessica R. Chang, Elvira Agrón, et al.. (2013). Ten-Year Incidence Rates of Age-Related Cataract in the Age-Related Eye Disease Study (AREDS): AREDS Report No. 33. Ophthalmic Epidemiology. 20(2). 71–81. 22 indexed citations
3.
Chew, Emily Y., Traci E. Clemons, John Paul SanGiovanni, et al.. (2012). The Age-related Eye Disease Study 2 (AREDS2). Ophthalmology. 119(11). 2282–2289. 281 indexed citations
4.
Chang, Jessica R., Euna Koo, Elvira Agrón, et al.. (2011). Risk Factors Associated with Incident Cataracts and Cataract Surgery in the Age-Related Eye Disease Study (AREDS). Ophthalmology. 118(11). 2113–2119. 146 indexed citations
5.
6.
Chew, Emily Y., Robert D. Sperduto, Roy C. Milton, et al.. (2008). Risk of Advanced Age-Related Macular Degeneration after Cataract Surgery in the Age-Related Eye Disease Study. Ophthalmology. 116(2). 297–303. 121 indexed citations
7.
Sperduto, Robert D., Traci E. Clemons, Anne S. Lindblad, & Frederick L. Ferris. (2008). Cataract Classification Using Serial Examinations in the Age-Related Eye Disease Study: Age-Related Eye Disease Study Report No. 24. American Journal of Ophthalmology. 145(3). 504–508. 7 indexed citations
8.
Christen, William G., Robert J. Glynn, Robert D. Sperduto, Emily Y. Chew, & Julie E. Buring. (2004). Age-related cataract in a randomized trial of beta-carotene in women. Ophthalmic Epidemiology. 11(5). 401–412. 28 indexed citations
9.
Maul, Eugenio, et al.. (2000). Refractive error study in children: results from La Florida, Chile. American Journal of Ophthalmology. 129(4). 445–454. 409 indexed citations
10.
Sperduto, Robert D., Rita Hiller, Emily Y. Chew, et al.. (1998). Risk factors for hemiretinal vein occlusion: comparison with risk factors for central and branch retinal vein occlusion. Ophthalmology. 105(5). 765–771. 132 indexed citations
11.
Hiller, Rita, Marvin J. Podgor, Robert D. Sperduto, et al.. (1998). A longitudinal study of body mass index and lens opacities. Ophthalmology. 105(7). 1244–1250. 78 indexed citations
12.
Christen, William G., JoAnn E. Manson, Robert J. Glynn, et al.. (1998). Low-dose aspirin and risk of cataract and subtypes in a randomized trial of U.S. physicians. Ophthalmic Epidemiology. 5(3). 133–142. 24 indexed citations
13.
Camparini, Monica, et al.. (1998). An independent evaluation of the age-related eye disease study (AREDS) cataract grading system. Current Eye Research. 17(1). 53–59. 5 indexed citations
14.
Rosmini, Francesco, Maria Antonietta Stazi, Roy C. Milton, et al.. (1994). A dose-response effect between a sunlight index and age-related cataracts. Annals of Epidemiology. 4(4). 266–270. 30 indexed citations
15.
Sperduto, Robert D.. (1994). Age-Related Cataracts: Scope of Problem and Prospects for Prevention. Preventive Medicine. 23(5). 735–739. 7 indexed citations
16.
Maraini, Giovanni, et al.. (1990). Distribution of Lens Opacities in the Italian-American Case-control Study of Age-related Cataract. Ophthalmology. 97(6). 752–756. 20 indexed citations
17.
Rowsey, J. James, R. Monlux, Hal D. Balyeat, et al.. (1989). Accuracy and reproducibility of KeraScanner analysis in PERK corneal topography. Current Eye Research. 8(7). 661–674. 6 indexed citations
18.
Chylack, L.T., et al.. (1988). Lens Opacities Classification System. Archives of Ophthalmology. 106(3). 330–334. 132 indexed citations
19.
Leske, M. Cristina, L T Chylack, Robert D. Sperduto, et al.. (1988). Evaluation of a Lens Opacities Classification System. Archives of Ophthalmology. 106(3). 327–329. 39 indexed citations
20.
Hiller, Rita, et al.. (1988). DIABETIC RETINOPATHY AND CARDIOVASCULAR DISEASE IN TYPE II DIABETICS. American Journal of Epidemiology. 128(2). 402–409. 78 indexed citations

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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