Gavin E. Duggan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Metabolomics and Mass Spectrometry Studies 7
- Gut microbiota and health 2
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- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 2
- Co-authors
- Hans J. Vogel (7 shared papers)Aalim M. Weljie (3 shared papers)Jane Shearer (3 shared papers)Dustin S. Hittel (3 shared papers)Lars Feuk (1 shared paper)Razi Khaja (1 shared paper)Stephen W. Scherer (1 shared paper)David H. Wasserman (1 shared paper)
- Journals
- Diabetes Obesity and Metabolism (2 papers)BMC Microbiology (1 paper)Journal of Biomolecular NMR (1 paper)Journal of Clinical Oncology (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Gavin E. Duggan
14 papers receiving 827 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 149
- Biological Psychiatry 16
- Critical Care and Intensive Care Medicine 33
- Molecular Biology 414
Countries citing papers authored by Gavin E. Duggan
This map shows the geographic impact of Gavin E. Duggan'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 Gavin E. Duggan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin E. Duggan more than expected).
Fields of papers citing papers by Gavin E. Duggan
This network shows the impact of papers produced by Gavin E. Duggan. 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 Gavin E. Duggan. The network helps show where Gavin E. Duggan may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin E. Duggan, 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 | 2019 | 171 | |
| 2 | 2006 | 149 | |
| 3 | 2008 | 107 | |
| 4 | 2016 | 85 | |
| 5 | 2013 | 84 | |
| 6 | 2010 | 79 | |
| 7 | 2011 | 50 | |
| 8 | 2011 | 35 | |
| 9 | 2013 | 25 | |
| 10 | 1994 | 23 | |
| 11 | 2004 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2011 | 9 | |
| 14 | 2020 | 1 |
About Gavin E. Duggan
Gavin E. Duggan is a scholar working on Molecular Biology, Physiology, Dermatology, Health Informatics and Epidemiology, having authored 14 papers that have together received 847 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Adipose Tissue and Metabolism (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Radiology practices and education (2 papers), Gut microbiota and health (2 papers), Diet and metabolism studies (2 papers), Probiotics and Fermented Foods (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Biological Psychiatry (16 citations), Critical Care and Intensive Care Medicine (33 citations) and Molecular Biology (414 citations). Gavin E. Duggan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hans J. Vogel, Aalim M. Weljie, Jane Shearer, Dustin S. Hittel, Lars Feuk, Razi Khaja, Stephen W. Scherer, David H. Wasserman, Shravya Shetty and Yun Liu. Their work appears in journals such as Diabetes Obesity and Metabolism, BMC Microbiology, Journal of Biomolecular NMR, Journal of Clinical Oncology and Journal of Proteome 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.