Gavin E. Duggan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Metabolomics and Mass Spectrometry Studies 6
-
- 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 (4 shared papers)Dustin S. Hittel (3 shared papers)Razi Khaja (1 shared paper)Lars Feuk (1 shared paper)Stephen W. Scherer (1 shared paper)David H. Wasserman (1 shared paper)
- Journals
- Diabetes Obesity and Metabolism (2 papers)Computational and Structural Biotechnology Journal (1 paper)Clinical & Experimental Immunology (1 paper)Cytogenetic and Genome Research (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Gavin E. Duggan
14 papers receiving 868 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 47
- Biological Psychiatry 16
- Radiology, Nuclear Medicine and Imaging 133
- Molecular Biology 395
- Physiology 129
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 | 182 | |
| 2 | 2006 | 152 | |
| 3 | 2008 | 108 | |
| 4 | 2016 | 95 | |
| 5 | 2013 | 91 | |
| 6 | 2010 | 85 | |
| 7 | 2011 | 51 | |
| 8 | 2011 | 37 | |
| 9 | 2013 | 27 | |
| 10 | 1994 | 23 | |
| 11 | 2004 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2011 | 9 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 |
About Gavin E. Duggan
Gavin E. Duggan is a scholar working on Molecular Biology, Physiology, Dermatology, Health Informatics and Epidemiology, having authored 15 papers that have together received 891 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Adipose Tissue and Metabolism (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Diet and metabolism studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper) and Global Health and Surgery (1 paper). The work is most often cited by research in Health Informatics (47 citations), Biological Psychiatry (16 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Molecular Biology (395 citations) and Physiology (129 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, Razi Khaja, Lars Feuk, Stephen W. Scherer, David H. Wasserman, Shravya Shetty and Joshua Reicher. Their work appears in journals such as Diabetes Obesity and Metabolism, Computational and Structural Biotechnology Journal, Clinical & Experimental Immunology, Cytogenetic and Genome Research and Journal of Magnetic Resonance Imaging.
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.