Shannon Kelly
- Cardiology and Cardiovascular Medicine top 5%
- Psychiatry and Mental health top 5%
- Public Health, Environmental and Occupational Health top 10%
- Economics and Econometrics top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- George A. WellsBecky SkidmoreTammy CliffordShu‐Ching HsiehAmy JohnstonDavid MoherDoug CoyleChris Cameron
- Topics
- Meta-analysis and systematic reviews (10 papers)Health Systems, Economic Evaluations, Quality of Life (8 papers)Antiplatelet Therapy and Cardiovascular Diseases (7 papers)
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Shannon Kelly
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 156
- Cardiology and Cardiovascular Medicine 309
- Psychiatry and Mental health 263
- Public Health, Environmental and Occupational Health 197
- Economics and Econometrics 178
- Statistics, Probability and Uncertainty 143
Countries citing papers authored by Shannon Kelly
This map shows the geographic impact of Shannon Kelly'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 Shannon Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon Kelly more than expected).
Fields of papers citing papers by Shannon Kelly
This network shows the impact of papers produced by Shannon Kelly. 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 Shannon Kelly. The network helps show where Shannon Kelly may publish in the future.
Co-authorship network of co-authors of Shannon Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Kelly. A scholar is included among the top collaborators of Shannon Kelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shannon Kelly. Shannon Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 79 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | 173 | |
| 14 | 3 | |
| 15 | 95 | |
| 16 | 31 | |
| 17 | 14 | |
| 18 | 93 | |
| 19 | Demystifying Teacher Action Research: Lessons Learned from a Graduate Education Capstone Experience | 3 |
| 20 | 129 |
About Shannon Kelly
Shannon Kelly is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (10 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Antiplatelet Therapy and Cardiovascular Diseases (7 papers). The work is most often cited by research in Health Informatics (45 citations), Internal Medicine (110 citations) and Statistics, Probability and Uncertainty (143 citations). Shannon Kelly has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include George A. Wells, Becky Skidmore, Tammy Clifford, Shu‐Ching Hsieh, Amy Johnston, David Moher, Doug Coyle, Chris Cameron, Joan Peterson and Sabine Steiner. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Cochrane Database of Systematic Reviews.
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.