Jonathan D. Oakley

2.8k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Jonathan D. Oakley is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jonathan D. Oakley has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ophthalmology, 26 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Jonathan D. Oakley's work include Retinal Imaging and Analysis (22 papers), Glaucoma and retinal disorders (16 papers) and Retinal Diseases and Treatments (15 papers). Jonathan D. Oakley is often cited by papers focused on Retinal Imaging and Analysis (22 papers), Glaucoma and retinal disorders (16 papers) and Retinal Diseases and Treatments (15 papers). Jonathan D. Oakley collaborates with scholars based in United States, United Kingdom and New Zealand. Jonathan D. Oakley's co-authors include Donald L. Budenz, Jean-Claude Mwanza, Peter A. Calabresi, Scott D. Newsome, Elliot M. Frohman, John N. Ratchford, Shiv Saidha, Mary K Durbin, Scott A. Meyer and Stephanie B. Syc‐Mazurek and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Jonathan D. Oakley

42 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Macular Ganglion Cell–Inner Plexiform Layer: Automated Detection and Thickness Reproducibility with Spectral Domain–Optical Coherence Tomography in Glaucoma

2011 367 citations Jonathan D. Oakley, Robert T. Chang et al. Investigative Ophthalmology & Visual Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan D. Oakley United States	17	1.8k	919	781	428	373	44	2.2k
Patricio G. Schlottmann United Kingdom	20	2.1k 1.2×	1.3k 1.4×	730 0.9×	253 0.6×	260 0.7×	46	2.5k
Timm Oberwahrenbrock Germany	24	973 0.5×	287 0.3×	822 1.1×	225 0.5×	316 0.8×	39	1.6k
John N. Ratchford United States	22	1.7k 0.9×	432 0.5×	1.9k 2.5×	504 1.2×	772 2.1×	35	3.0k
Amy Conger United States	15	920 0.5×	186 0.2×	838 1.1×	284 0.7×	334 0.9×	22	1.3k
Hemamalini Arvind Australia	25	1.5k 0.8×	936 1.0×	470 0.6×	65 0.2×	125 0.3×	51	1.9k
Jeffrey G. Odel United States	25	1.1k 0.6×	412 0.4×	438 0.6×	68 0.2×	110 0.3×	83	2.0k
A. J. Green United States	7	556 0.3×	112 0.1×	592 0.8×	116 0.3×	242 0.6×	9	956
Kyung Rim Sung South Korea	35	3.7k 2.1×	2.9k 3.2×	192 0.2×	605 1.4×	43 0.1×	169	3.9k
Christian Y. Mardin Germany	26	2.0k 1.1×	1.4k 1.5×	176 0.2×	315 0.7×	19 0.1×	134	2.2k
Omar Al‐Louzi United States	15	430 0.2×	183 0.2×	471 0.6×	176 0.4×	198 0.5×	27	820

Countries citing papers authored by Jonathan D. Oakley

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan D. Oakley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Oakley

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

All Works

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20 of 20 papers shown

Magrath, George N., Daniel B. Russakoff, Jonathan D. Oakley, et al.. (2025). Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study. American Journal of Ophthalmology. 273. 176–181. 3 indexed citations

Sharma, Sarit, Paola Marolo, Daniel B. Russakoff, et al.. (2025). Deep learning model for automatic detection of different types of microaneurysms in diabetic retinopathy. Eye. 39(3). 570–577. 2 indexed citations

Berni, Alessandro, Jonathan D. Oakley, Rosa Dolz‐Marco, et al.. (2024). Topographical Quantification of Retinal Fluid in Type 3 MNV and Associations With Short-Term Visual Outcomes. American Journal of Ophthalmology. 269. 181–188. 3 indexed citations

Misra, Stuti L., Geoffrey D. Braatvedt, Grant Beban, et al.. (2024). Remission of corneal and peripheral neuropathy after bariatric surgery in people with diabetes. The Ocular Surface. 34. 140–145. 5 indexed citations

Borrelli, Enrico, Jonathan D. Oakley, Daniel B. Russakoff, et al.. (2023). Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration. Eye. 38(3). 537–544. 8 indexed citations

Pereira, Austin, et al.. (2022). Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study. PLoS ONE. 17(2). e0262111–e0262111. 10 indexed citations

Izzi, Jessica, Suzanne E. Queen, Patrick M. Tarwater, et al.. (2021). Combining In Vivo Corneal Confocal Microscopy With Deep Learning–Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection. Cornea. 40(5). 635–642. 7 indexed citations

Oakley, Jonathan D., et al.. (2021). Automated Deep Learning-Based Multi-Class Fluid Segmentation inSwept-Source Optical Coherence Tomography Images. 12(8). 24–37. 1 indexed citations

Oakley, Jonathan D., et al.. (2021). Effects of subthreshold nanosecond laser therapy in age-related macular degeneration using artificial intelligence (STAR-AI Study). PLoS ONE. 16(4). e0250609–e0250609.

10.

Oakley, Jonathan D., et al.. (2018). Automated Analysis of In Vivo Confocal Microscopy Corneal Images Using Deep Learning. Investigative Ophthalmology & Visual Science. 59(9). 1799–1799. 3 indexed citations

11.

Oakley, Jonathan D., et al.. (2018). Changes in volume of various retinal layers over time in early and intermediate age-related macular degeneration. Eye. 33(3). 428–434. 45 indexed citations

12.

Oakley, Jonathan D., Magí Andorrà, Elena H. Martínez‐Lapiscina, Daniel B. Russakoff, & Pablo Villoslada. (2016). Comparison of Automated Retinal Segmentation across OCT Devices using Independent Analysis Software. Investigative Ophthalmology & Visual Science. 57(12). 5956–5956. 2 indexed citations

13.

Tan, Jia, Ye Yang, Hong Jiang, et al.. (2016). The measurement repeatability using different partition methods of intraretinal tomographic thickness maps in healthy human subjects. Clinical ophthalmology. Volume 10. 2403–2415. 22 indexed citations

14.

Keller, Johannes, Jonathan D. Oakley, Daniel B. Russakoff, et al.. (2015). Changes in macular layers in the early course of non-arteritic ischaemic optic neuropathy. Graefe s Archive for Clinical and Experimental Ophthalmology. 254(3). 561–567. 20 indexed citations

15.

Oakley, Jonathan D., et al.. (2014). Assessing Manual versus Automated Segmentation of the Macula using Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 55(13). 4790–4790. 6 indexed citations

16.

Dorsey, Jamie L., Lisa M. Mangus, Jonathan D. Oakley, et al.. (2014). Loss of Corneal Sensory Nerve Fibers in SIV-Infected Macaques: An Alternate Approach to Investigate HIV-Induced PNS Damage. PMC. 2 indexed citations

17.

Lujan, Brandon J., Daniel B. Russakoff, Jonathan D. Oakley, Mona K. Garvin, & Austin Roorda. (2014). True Outer Nuclear Layer Volumes Using Directional Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 55(13). 4803–4803.

18.

Johung, Tessa, et al.. (2013). The Prevalence of Cirrus SD-OCT Ganglion Cell Segmentation Errors in High Myopes. Investigative Ophthalmology & Visual Science. 54(15). 4845–4845. 1 indexed citations

19.

Syc‐Mazurek, Stephanie B., Shiv Saidha, Scott D. Newsome, et al.. (2011). Optical coherence tomography segmentation reveals ganglion cell layer pathology after optic neuritis. Brain. 135(2). 521–533. 263 indexed citations

20.

Narasimha-Iyer, Harihar, et al.. (2008). Registration of Cirrus HD-OCT Images With Fundus Photographs, Fluorescein Angiographs and Fundus Autofluorescence Images. Investigative Ophthalmology & Visual Science. 49(13). 1831–1831. 1 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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