David Scheie
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
-
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
- Genetics 51
- Glioma Diagnosis and Treatment 51
- Genomic variations and chromosomal abnormalities 3
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- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Torstein Ragnar Meling (17 shared papers)Eirik Helseth (12 shared papers)Bernt Johan Due‐Tønnessen (9 shared papers)Petter Brandal (11 shared papers)Paulina Due‐Tønnessen (5 shared papers)Atle Bjørnerud (4 shared papers)John K Hald (4 shared papers)Kyrre E. Emblem (4 shared papers)
In The Last Decade
David Scheie
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 61
- Genetics 1.3k
- Radiology, Nuclear Medicine and Imaging 230
- Neurology 60
- Health Informatics 15
- Cancer Research 72
Countries citing papers authored by David Scheie
This map shows the geographic impact of David Scheie'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 David Scheie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Scheie more than expected).
Fields of papers citing papers by David Scheie
This network shows the impact of papers produced by David Scheie. 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 David Scheie. The network helps show where David Scheie may publish in the future.
Co-authors
The 25 scholars most cited alongside David Scheie, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 181 | |
| 2 | 2008 | 142 | |
| 3 | 2019 | 132 | |
| 4 | 2017 | 123 | |
| 5 | 2012 | 96 | |
| 6 | 2020 | 83 | |
| 7 | 2020 | 67 | |
| 8 | 2002 | 63 | |
| 9 | 2021 | 62 | |
| 10 | 2008 | 56 | |
| 11 | 2006 | 48 | |
| 12 | 2015 | 46 | |
| 13 | 2019 | 42 | |
| 14 | 2009 | 40 | |
| 15 | 2008 | 39 | |
| 16 | 2009 | 39 | |
| 17 | 2012 | 35 | |
| 18 | 2016 | 35 | |
| 19 | 2013 | 33 | |
| 20 | 2019 | 33 |
About David Scheie
David Scheie is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Cancer Research, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (51 papers), Pancreatic and Hepatic Oncology Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Medical Imaging Techniques and Applications (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Genetics (1.3k citations), Radiology, Nuclear Medicine and Imaging (230 citations), Neurology (60 citations), Health Informatics (15 citations) and Cancer Research (72 citations). David Scheie has collaborated with scholars based in Denmark, Norway and Germany. Frequent co-authors include Torstein Ragnar Meling, Eirik Helseth, Bernt Johan Due‐Tønnessen, Petter Brandal, Paulina Due‐Tønnessen, Atle Bjørnerud, John K Hald, Kyrre E. Emblem, Milada Cvancarova and Tryggve Lundar. Their work appears in journals such as Neuro-Oncology, Acta Neuropathologica, Acta Neurologica Scandinavica, Genes Chromosomes and Cancer and Journal of Neurosurgery Pediatrics.
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.