Katy Blumer
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 1%
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
Papers in
-
- Retinal Imaging and Analysis 2
- Co-authors
- Greg S. Corrado (2 shared papers)Lily Peng (3 shared papers)Dale R. Webster (3 shared papers)Avinash V. Varadarajan (1 shared paper)Ryan E. Poplin (1 shared paper)Michael V. McConnell (1 shared paper)Yun Liu (1 shared paper)Mazin M. Magzoub (2 shared papers)
- Journals
- Journal of Materials Chemistry B (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Nucleic Acids Research (1 paper)Ophthalmology (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesFrance
In The Last Decade
Katy Blumer
7 papers receiving 1.8k citations
Katy Blumer's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Informatics 232
- Ophthalmology 415
- Radiology, Nuclear Medicine and Imaging 878
- Health Information Management 156
- Artificial Intelligence 344
Countries citing papers authored by Katy Blumer
This map shows the geographic impact of Katy Blumer'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 Katy Blumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy Blumer more than expected).
Fields of papers citing papers by Katy Blumer
This network shows the impact of papers produced by Katy Blumer. 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 Katy Blumer. The network helps show where Katy Blumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Katy Blumer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Hit paper breakdown → | 2018 | 1296 |
| 2 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy Hit paper breakdown → | 2018 | 302 |
| 3 | 2015 | 148 | |
| 4 | 2016 | 56 | |
| 5 | 2016 | 19 | |
| 6 | 2012 | 17 | |
| 7 | Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation | 2018 | 2 |
| 8 | 2025 | 0 |
About Katy Blumer
Katy Blumer is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Microbiology, Communication and Ophthalmology, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Retinal Imaging and Analysis (2 papers), RNA Interference and Gene Delivery (2 papers), Acute Ischemic Stroke Management (1 paper), Social Media and Politics (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Health Informatics (232 citations), Ophthalmology (415 citations), Radiology, Nuclear Medicine and Imaging (878 citations), Health Information Management (156 citations) and Artificial Intelligence (344 citations). Katy Blumer has collaborated with scholars based in United States, United Arab Emirates and France. Frequent co-authors include Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Ryan E. Poplin, Michael V. McConnell, Yun Liu, Mazin M. Magzoub, Rachid Rezgui and Shawn Xu. Their work appears in journals such as Journal of Materials Chemistry B, Investigative Ophthalmology & Visual Science, Nucleic Acids Research, Ophthalmology and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.