Michael Grunkin
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
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- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 2
- Retinal Imaging and Analysis 2
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- AI in cancer detection 4
- Co-authors
- Michael Larsen (3 shared papers)Anders Rosholm (1 shared paper)Lars Hyldstrup (1 shared paper)Lene Bæksgaard (1 shared paper)Henrik Lund‐Andersen (2 shared papers)Nicolai Balle Larsen (2 shared papers)Niels T. Foged (2 shared papers)Anne Katrin Sjølie (1 shared paper)
In The Last Decade
Michael Grunkin
10 papers receiving 624 citations
Peers
Comparison fields: 5 of 63
- Ophthalmology 196
- Radiology, Nuclear Medicine and Imaging 298
- Biophysics 50
- Orthopedics and Sports Medicine 60
- Computer Vision and Pattern Recognition 98
Countries citing papers authored by Michael Grunkin
This map shows the geographic impact of Michael Grunkin'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 Michael Grunkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Grunkin more than expected).
Fields of papers citing papers by Michael Grunkin
This network shows the impact of papers produced by Michael Grunkin. 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 Michael Grunkin. The network helps show where Michael Grunkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Grunkin, 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 | 2001 | 156 | |
| 2 | 2016 | 138 | |
| 3 | 2003 | 117 | |
| 4 | 2003 | 87 | |
| 5 | 2011 | 81 | |
| 6 | 2000 | 54 | |
| 7 | 2011 | 25 | |
| 8 | 2021 | 3 | |
| 9 | Image analysis of breast cancer HER2 protein expression used in assessment of staining quality | 2014 | 2 |
| 10 | 2016 | 1 |
About Michael Grunkin
Michael Grunkin is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Ophthalmology, Molecular Biology and Pathology and Forensic Medicine, having authored 10 papers that have together received 664 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Retinal Imaging and Analysis (2 papers), Body Composition Measurement Techniques (1 paper), Retinal Diseases and Treatments (1 paper), Gene expression and cancer classification (1 paper), Retinal and Optic Conditions (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Ophthalmology (196 citations), Radiology, Nuclear Medicine and Imaging (298 citations), Biophysics (50 citations), Orthopedics and Sports Medicine (60 citations) and Computer Vision and Pattern Recognition (98 citations). Michael Grunkin has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include Michael Larsen, Anders Rosholm, Lars Hyldstrup, Lene Bæksgaard, Henrik Lund‐Andersen, Nicolai Balle Larsen, Niels T. Foged, Anne Katrin Sjølie, Elisabet Agardh and David R. Owens. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Pattern Recognition Letters, Modern Pathology, Breast Cancer Research and Treatment and Cancer Research.
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.