Marian Blazes

2.1k total citations · 1 hit paper
38 papers, 1.5k citations indexed

About

Marian Blazes is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marian Blazes has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Ophthalmology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marian Blazes's work include Retinal Imaging and Analysis (18 papers), Retinal Diseases and Treatments (8 papers) and Retinal and Optic Conditions (7 papers). Marian Blazes is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Retinal Diseases and Treatments (8 papers) and Retinal and Optic Conditions (7 papers). Marian Blazes collaborates with scholars based in United States, United Kingdom and Singapore. Marian Blazes's co-authors include Lora H. Ellenson, Kathleen R. Cho, Steven I. Wang, Ramon Parsons, S Bose, Hironori Tashiro, Rongde Wu, Jing Li, Cecilia S. Lee and Aaron Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Marian Blazes

34 papers receiving 1.4k citations

Hit Papers

Mutations in PTEN are frequent in endometrial carcinoma b... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marian Blazes United States 13 634 360 315 304 230 38 1.5k
Hormoz Ehya United States 25 423 0.7× 395 1.1× 441 1.4× 96 0.3× 12 0.1× 82 1.9k
Liang Kee Goh Singapore 15 442 0.7× 56 0.2× 215 0.7× 233 0.8× 13 0.1× 26 978
G. Regnani Italy 12 475 0.7× 145 0.4× 34 0.1× 81 0.3× 113 0.5× 21 3.0k
Amy M. Fowler United States 22 327 0.5× 283 0.8× 50 0.2× 570 1.9× 17 0.1× 88 1.7k
Christian Haslinger Switzerland 18 371 0.6× 148 0.4× 28 0.1× 38 0.1× 189 0.8× 56 1.3k
Erika J. Lampert United States 15 224 0.4× 145 0.4× 64 0.2× 79 0.3× 23 0.1× 27 778
Bogdan Luca United States 7 1.4k 2.3× 233 0.6× 21 0.1× 80 0.3× 46 0.2× 13 3.0k
Anthony J. Apicelli United States 16 511 0.8× 41 0.1× 46 0.1× 64 0.2× 56 0.2× 29 1.0k
Evgeny Yakirevich United States 28 833 1.3× 283 0.8× 8 0.0× 89 0.3× 88 0.4× 89 2.3k
Aadel A. Chaudhuri United States 5 1.2k 2.0× 152 0.4× 18 0.1× 63 0.2× 40 0.2× 8 2.5k

Countries citing papers authored by Marian Blazes

Since Specialization
Citations

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

Fields of papers citing papers by Marian Blazes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian Blazes. 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 Marian Blazes. The network helps show where Marian Blazes may publish in the future.

Co-authorship network of co-authors of Marian Blazes

This figure shows the co-authorship network connecting the top 25 collaborators of Marian Blazes. A scholar is included among the top collaborators of Marian Blazes 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 Marian Blazes. Marian Blazes 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
3.
Davidson, Oliver, et al.. (2024). Sociodemographic and Visual Outcomes of Juvenile Idiopathic Arthritis Uveitis: IRIS® Registry Study. Clinical ophthalmology. Volume 18. 1257–1266.
4.
Verma, Aditi, et al.. (2024). Developing a 10-Layer Retinal Segmentation for MacTel Using Semi-Supervised Learning. Translational Vision Science & Technology. 13(11). 2–2. 2 indexed citations
5.
Jiang, Yu, Thomas A. Swain, Marian Blazes, et al.. (2024). Outer Retinal Thinning is Associated With Brain Atrophy in Early Age-Related Macular Degeneration. American Journal of Ophthalmology. 269. 457–465. 1 indexed citations
6.
Sisternes, Luís de, Marian Blazes, Yuka Kihara, et al.. (2024). Retinal Vessel Plexus Differentiation Based on OCT Angiography Using Deep Learning. Ophthalmology Science. 5(1). 100605–100605. 1 indexed citations
8.
Spaide, Theodore, Marian Blazes, Cecilia S. Lee, et al.. (2024). Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning. SHILAP Revista de lepidopterología. 5(1). 100587–100587. 1 indexed citations
9.
Wittenborn, John S., Aaron Lee, Elizabeth A. Lundeen, et al.. (2023). Validity of Administrative Claims and Electronic Health Registry Data From a Single Practice for Eye Health Surveillance. JAMA Ophthalmology. 141(6). 534–534. 3 indexed citations
10.
Wittenborn, John S., Aaron Lee, Elizabeth A. Lundeen, et al.. (2023). Comparing Telephone Survey Responses to Best-Corrected Visual Acuity to Estimate the Accuracy of Identifying Vision Loss: Validation Study. JMIR Public Health and Surveillance. 9. e44552–e44552. 3 indexed citations
11.
Lee, Cecilia S., Yu‐Ru Su, Rod Walker, et al.. (2022). Diabetic Retinopathy and Dementia Association, Beyond Diabetes Severity. American Journal of Ophthalmology. 249. 90–98. 11 indexed citations
12.
Xu, Yixi, Marian Blazes, Juan Lavista Ferres, et al.. (2022). Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19. Scientific Reports. 12(1). 16913–16913. 11 indexed citations
13.
Robinson, Caleb, Marian Blazes, Anthony Ortiz, et al.. (2022). Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. PLoS ONE. 17(10). e0274098–e0274098. 11 indexed citations
14.
Ortiz, Anthony, Marian Blazes, Caleb Robinson, et al.. (2022). Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes. Scientific Reports. 12(1). 1716–1716. 28 indexed citations
15.
Lee, Aaron, Ryan T. Yanagihara, Cecilia S. Lee, et al.. (2021). Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems. Diabetes Care. 44(5). 1168–1175. 105 indexed citations
16.
Owen, Julia P., Marian Blazes, Mary K Durbin, et al.. (2021). Student becomes teacher: faster deep learning (DL) lightweight models (LWM) for automated detection of abnormal OCT B-scans using student-teacher framework. Investigative Ophthalmology & Visual Science. 62(8). 1028–1028. 1 indexed citations
17.
Owen, Julia P., Ryan T. Yanagihara, Marian Blazes, et al.. (2021). Endophthalmitis Rate in Immediately Sequential versus Delayed Sequential Bilateral Cataract Surgery within the Intelligent Research in Sight (IRIS®) Registry Data. Ophthalmology. 129(2). 129–138. 40 indexed citations
18.
Owen, Julia P., Marian Blazes, Ryan T. Yanagihara, et al.. (2021). Refractive Outcomes After Immediate Sequential vs Delayed Sequential Bilateral Cataract Surgery. JAMA Ophthalmology. 139(8). 876–876. 23 indexed citations
19.
Blazes, Marian & Cecilia S. Lee. (2021). Understanding the Brain through Aging Eyes. PubMed. 3(2). 12 indexed citations
20.
Agrawal, Rupesh, Ilaria Testi, Cecilia S. Lee, et al.. (2020). Evolving consensus for immunomodulatory therapy in non-infectious uveitis during the COVID-19 pandemic. British Journal of Ophthalmology. 105(5). 639–647. 17 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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