Kyle Hasenstab
Impact in
- Ophthalmology top 1%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Corneal surgery and disorders
Papers in
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- Retinal Imaging and Analysis 7
- Radiomics and Machine Learning in Medical Imaging 6
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- Glaucoma and retinal disorders 8
- Retinal Diseases and Treatments 8
- Co-authors
- Robert N. Weinreb (7 shared papers)Linda M. Zangwill (7 shared papers)Patricia Isabel C. Manalastas (7 shared papers)Guilherme Moura Cunha (11 shared papers)Rafaella C. Penteado (6 shared papers)Elham Ghahari (6 shared papers)Huiyuan Hou (6 shared papers)Sasan Moghimi (6 shared papers)
- Journals
- Radiology Artificial Intelligence (3 papers)Radiology Cardiothoracic Imaging (3 papers)Ophthalmology (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Kyle Hasenstab
34 papers receiving 864 citations
Peers
Comparison fields: 5 of 107
- Ophthalmology 431
- Radiology, Nuclear Medicine and Imaging 488
- Health Informatics 11
- Hepatology 63
- Cognitive Neuroscience 98
Countries citing papers authored by Kyle Hasenstab
This map shows the geographic impact of Kyle Hasenstab'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 Kyle Hasenstab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Hasenstab more than expected).
Fields of papers citing papers by Kyle Hasenstab
This network shows the impact of papers produced by Kyle Hasenstab. 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 Kyle Hasenstab. The network helps show where Kyle Hasenstab may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Hasenstab, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2019 | 117 | |
| 3 | 2019 | 98 | |
| 4 | 2017 | 95 | |
| 5 | 2020 | 73 | |
| 6 | 2014 | 52 | |
| 7 | 2019 | 47 | |
| 8 | 2021 | 42 | |
| 9 | 2017 | 35 | |
| 10 | 2018 | 30 | |
| 11 | 2015 | 23 | |
| 12 | 2020 | 20 | |
| 13 | 2015 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2016 | 8 |
About Kyle Hasenstab
Kyle Hasenstab is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Pulmonary and Respiratory Medicine, Epidemiology and Hepatology, having authored 37 papers that have together received 879 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (8 papers), Retinal Diseases and Treatments (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Retinal Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Ophthalmology (431 citations), Radiology, Nuclear Medicine and Imaging (488 citations), Health Informatics (11 citations), Hepatology (63 citations) and Cognitive Neuroscience (98 citations). Kyle Hasenstab has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Robert N. Weinreb, Linda M. Zangwill, Patricia Isabel C. Manalastas, Guilherme Moura Cunha, Rafaella C. Penteado, Elham Ghahari, Huiyuan Hou, Sasan Moghimi, Christopher Bowd and Adeleh Yarmohammadi. Their work appears in journals such as Radiology Artificial Intelligence, Radiology Cardiothoracic Imaging, Ophthalmology, Scientific Reports and IEEE Access.
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.