David L. Cooke

2.2k total citations
75 papers, 1.5k citations indexed

About

David L. Cooke is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, David L. Cooke has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Ophthalmology, 45 papers in Radiology, Nuclear Medicine and Imaging and 44 papers in Epidemiology. Recurrent topics in David L. Cooke's work include Ophthalmology and Visual Impairment Studies (44 papers), Corneal surgery and disorders (37 papers) and Intraocular Surgery and Lenses (33 papers). David L. Cooke is often cited by papers focused on Ophthalmology and Visual Impairment Studies (44 papers), Corneal surgery and disorders (37 papers) and Intraocular Surgery and Lenses (33 papers). David L. Cooke collaborates with scholars based in United States, Germany and Canada. David L. Cooke's co-authors include Timothy L. Cooke, Thomas R. Rohleder, Robert C. Lee, Peter Dunscombe, Richard Sheard, Guy T. Smith, William C. Stewart, Monte S. Dirks, Harvey Dubiner and Amanda M. VanDenburgh and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

David L. Cooke

62 papers receiving 1.4k citations

Peers

David L. Cooke
Christoph Kern Germany
Dawn A. Sim United Kingdom
Farkhondeh Asadi Iran
Gabriella Moraes United Kingdom
Jacob Rasmussen Denmark
Aditya U. Kale United Kingdom
Adeel Siddiqui Pakistan
Min‐Huei Hsu Taiwan
K. D. Zamba United States
Marianne Frisén Sweden
Christoph Kern Germany
David L. Cooke
Citations per year, relative to David L. Cooke David L. Cooke (= 1×) peers Christoph Kern

Countries citing papers authored by David L. Cooke

Since Specialization
Citations

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

Fields of papers citing papers by David L. Cooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Cooke. 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 David L. Cooke. The network helps show where David L. Cooke may publish in the future.

Co-authorship network of co-authors of David L. Cooke

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Cooke. A scholar is included among the top collaborators of David L. Cooke 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 David L. Cooke. David L. Cooke 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.
Langenbucher, Achim, Jascha Wendelstein, Alan Cayless, et al.. (2025). Deciphering corneal astigmatism: calculation pitfalls and how to avoid them. Journal of Cataract & Refractive Surgery. 51(10). 933–935.
2.
Savini, Giacomo, Seth Pantanelli, Kenneth J. Hoffer, et al.. (2025). Which Test Is Best: Evaluation of Traditional and Contemporary Statistical Tests for Analysis of Spherical Equivalent Prediction Error. American Journal of Ophthalmology. 273. 33–42. 1 indexed citations
3.
Hoffer, Kenneth J., et al.. (2025). IOL Power Calculation Project: Accuracy of 36 Formulas. American Journal of Ophthalmology. 277. 45–56.
4.
Cooke, David L., et al.. (2025). Improving refractive predictability with high-powered intraocular lenses: refractive implications of various optic designs. Journal of Cataract & Refractive Surgery. 51(7). 600–606.
5.
Eom, Youngsub, Dong Hyun Kim, Hwa Lee, et al.. (2025). Accuracy of Intraocular Lens Power Calculation Based on Distance from Haptic to Principal Object Plane. Journal of Cataract & Refractive Surgery. 1 indexed citations
6.
Shammas, H. John, et al.. (2024). Updating the no-history method in intraocular lens power calculation after myopic laser vision correction. Journal of Cataract & Refractive Surgery. 50(10). 1026–1029. 2 indexed citations
7.
Cooke, David L., et al.. (2024). A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence. Journal of Clinical Medicine. 13(2). 498–498. 20 indexed citations
8.
Cooke, David L., Thomas Reinhard, Katrin Wacker, et al.. (2024). Comparison of Pre- and Post-DMEK Keratometry and Total Keratometry Values for IOL Power Calculations in Eyes Undergoing Triple DMEK. Current Eye Research. 49(5). 477–486. 5 indexed citations
9.
Shammas, H. John, et al.. (2024). Comparison of Legacy and New No-History IOL Power Calculation Formulas in Postmyopic Laser Vision Correction Eyes. American Journal of Ophthalmology. 264. 44–52. 12 indexed citations
10.
Cooke, David L., et al.. (2024). Impact of quality indicators on variability of keratometry measurements using a SS-OCT–based optical biometer. Journal of Cataract & Refractive Surgery. 51(1). 16–22.
11.
Olsen, Thomas, David L. Cooke, Oliver Findl, et al.. (2023). Surgeons need to know more about intraocular lens design for accurate power calculation. Journal of Cataract & Refractive Surgery. 49(6). 556–557. 16 indexed citations
12.
Atchison, David A. & David L. Cooke. (2023). Determining specified intraocular lens powers when silicone oil is to be used in the vitreous chamber. Journal of Cataract & Refractive Surgery. 49(8). 869–873. 1 indexed citations
13.
Wendelstein, Jascha, Peter Hoffmann, David L. Cooke, et al.. (2023). Influence and predictive value of optional parameters in new-generation intraocular lens formulas. Journal of Cataract & Refractive Surgery. 49(8). 795–803. 9 indexed citations
14.
Wendelstein, Jascha, Peter Hoffmann, Kenneth J. Hoffer, et al.. (2023). Differences Between Keratometry and Total Keratometry Measurements in a Large Dataset Obtained With a Modern Swept Source Optical Coherence Tomography Biometer. American Journal of Ophthalmology. 260. 102–114. 8 indexed citations
15.
Murphy, David A., et al.. (2023). Standard vs total keratometry for intraocular lens power calculation in cataract surgery combined with DMEK. Journal of Cataract & Refractive Surgery. 49(3). 239–245. 10 indexed citations
16.
Cooke, David L., Kamran M. Riaz, David A. Murphy, et al.. (2022). The CRW1 Index: Identification of Eyes with Previous Myopic Laser Vision Correction Using Only a Swept-Source OCT Biometer. American Journal of Ophthalmology. 247. 79–87. 4 indexed citations
17.
Wendelstein, Jascha, David L. Cooke, Nino Hirnschall, et al.. (2022). The 10,000 Eyes Study: Analysis of Keratometry, Abulafia-Koch regression transformation, and Biometric Eye Parameters Obtained With Swept-Source Optical Coherence Tomography. American Journal of Ophthalmology. 245. 44–60. 7 indexed citations
18.
Cooke, David L., Henry H. Hsu, Jeanette A. Stewart, et al.. (2022). Phase Ⅰ/Ⅱ, Double-Masked, Randomized, Vehicle-Controlled Study of H-1337 Ophthalmic Solution for Glaucoma and Ocular Hypertension. Ophthalmology Glaucoma. 6(2). 198–205. 3 indexed citations
19.
Cooke, David L., Rhonda Waldron, Giacomo Savini, et al.. (2021). Immersion ultrasound biometry vs optical biometry. Journal of Cataract & Refractive Surgery. 48(7). 819–825.
20.
Shammas, H. John, Maya C. Shammas, Renu V. Jivrajka, David L. Cooke, & Richard Potvin. (2020). <p>Effects on IOL Power Calculation and Expected Clinical Outcomes of Axial Length Measurements Based on Multiple vs Single Refractive Indices</p>. Clinical ophthalmology. Volume 14. 1511–1519. 25 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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