Brandon Ginley
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- AI in cancer detection 15
- Machine Learning in Healthcare 2
-
- Chronic Kidney Disease and Diabetes 6
- Renal Diseases and Glomerulopathies 5
- Co-authors
- Pinaki Sarder (26 shared papers)John E. Tomaszewski (11 shared papers)Brendon Lutnick (12 shared papers)Kuang‐Yu Jen (13 shared papers)Rabi Yacoub (4 shared papers)Sanjay Jain (5 shared papers)Avi Z. Rosenberg (9 shared papers)Gregory E. Wilding (2 shared papers)
- Journals
- Journal of Pathology Informatics (2 papers)Journal of Clinical Oncology (1 paper)Journal of the American Society of Nephrology (1 paper)PLoS ONE (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Brandon Ginley
27 papers receiving 362 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 27
- Nephrology 44
- Artificial Intelligence 183
- Biophysics 28
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Brandon Ginley
This map shows the geographic impact of Brandon Ginley'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 Brandon Ginley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Ginley more than expected).
Fields of papers citing papers by Brandon Ginley
This network shows the impact of papers produced by Brandon Ginley. 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 Brandon Ginley. The network helps show where Brandon Ginley may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Ginley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2019 | 90 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 20 | |
| 5 | 2016 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2023 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 3 | |
| 18 | Generative modeling for label-free glomerular modeling and classification. | 2020 | 3 |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Brandon Ginley
Brandon Ginley is a scholar working on Artificial Intelligence, Nephrology, Computer Vision and Pattern Recognition, Molecular Biology and Oncology, having authored 28 papers that have together received 362 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (5 papers), Medical Image Segmentation Techniques (4 papers), Renal and Vascular Pathologies (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Cell Image Analysis Techniques (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (27 citations), Nephrology (44 citations), Artificial Intelligence (183 citations), Biophysics (28 citations) and Computer Vision and Pattern Recognition (86 citations). Brandon Ginley has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Pinaki Sarder, John E. Tomaszewski, Brendon Lutnick, Kuang‐Yu Jen, Rabi Yacoub, Sanjay Jain, Avi Z. Rosenberg, Gregory E. Wilding, Giovanni Maria Rossi and Vighnesh Walavalkar. Their work appears in journals such as Journal of Pathology Informatics, Journal of Clinical Oncology, Journal of the American Society of Nephrology, PLoS ONE and Nephrology Dialysis Transplantation.
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.