Daniel C. Elton
Impact in
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- Computational Drug Discovery Methods
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Radiation Dose and Imaging 3
- MRI in cancer diagnosis 2
- Medical Imaging Techniques and Applications 2
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- Kidney Stones and Urolithiasis Treatments 3
- Co-authors
- Peter W. Chung (4 shared papers)Mark Fuge (3 shared papers)Zois Boukouvalas (3 shared papers)Ronald M. Summers (16 shared papers)Perry J. Pickhardt (13 shared papers)Mariví Fernández-Serra (1 shared paper)Alberto A. Perez (5 shared papers)Peter M. Graffy (4 shared papers)
- Journals
- Abdominal Radiology (2 papers)Radiology (2 papers)Medical Physics (1 paper)Journal of the American College of Radiology (1 paper)Tomography (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel C. Elton
27 papers receiving 1.1k citations
Daniel C. Elton's Hit Papers
Peers
Comparison fields: 5 of 129
- Computational Theory and Mathematics 308
- Health Informatics 19
- Materials Chemistry 349
- Radiology, Nuclear Medicine and Imaging 141
- Biophysics 39
Countries citing papers authored by Daniel C. Elton
This map shows the geographic impact of Daniel C. Elton'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 Daniel C. Elton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Elton more than expected).
Fields of papers citing papers by Daniel C. Elton
This network shows the impact of papers produced by Daniel C. Elton. 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 Daniel C. Elton. The network helps show where Daniel C. Elton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Elton, 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 | Deep learning for molecular design—a review of the state of the art Hit paper breakdown → | 2019 | 431 |
| 2 | 2021 | 83 | |
| 3 | 2016 | 78 | |
| 4 | 2022 | 76 | |
| 5 | 2018 | 68 | |
| 6 | 2017 | 62 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 46 | |
| 9 | 2020 | 36 | |
| 10 | 2022 | 29 | |
| 11 | 2020 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2019 | 22 | |
| 15 | 2022 | 19 | |
| 16 | 2016 | 12 | |
| 17 | Deep learning for molecular generation and optimization - a review of the state of the art | 2019 | 9 |
| 18 | 2023 | 8 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 4 |
About Daniel C. Elton
Daniel C. Elton is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Materials Chemistry, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Machine Learning in Materials Science (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Computational Drug Discovery Methods (3 papers), Radiation Dose and Imaging (3 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (308 citations), Health Informatics (19 citations), Materials Chemistry (349 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Biophysics (39 citations). Daniel C. Elton has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Peter W. Chung, Mark Fuge, Zois Boukouvalas, Ronald M. Summers, Perry J. Pickhardt, Mariví Fernández-Serra, Alberto A. Perez, Peter M. Graffy, Meghan G. Lubner and Evrim Türkbey. Their work appears in journals such as Abdominal Radiology, Radiology, Medical Physics, Journal of the American College of Radiology and Tomography.
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.