Glen J. Pearson
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Geriatrics and Gerontology top 1%
- Economics and Econometrics top 5%
- General Health Professions top 10%
- Co-authors
- Arden R. BarryRoss T. TsuyukiRicky D. TurgeonRobert A. HegeleJean BergeronMilan GuptaDavid FitchettJiří Fröhlich
- Topics
- Lipoproteins and Cardiovascular Health (27 papers)Pharmaceutical Practices and Patient Outcomes (23 papers)Health Systems, Economic Evaluations, Quality of Life (19 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Glen J. Pearson
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Surgery 592
- Cardiology and Cardiovascular Medicine 261
- Geriatrics and Gerontology 253
- Economics and Econometrics 222
- General Health Professions 131
Countries citing papers authored by Glen J. Pearson
This map shows the geographic impact of Glen J. Pearson'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 Glen J. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen J. Pearson more than expected).
Fields of papers citing papers by Glen J. Pearson
This network shows the impact of papers produced by Glen J. Pearson. 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 Glen J. Pearson. The network helps show where Glen J. Pearson may publish in the future.
Co-authorship network of co-authors of Glen J. Pearson
This figure shows the co-authorship network connecting the top 25 collaborators of Glen J. Pearson. A scholar is included among the top collaborators of Glen J. Pearson 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 Glen J. Pearson. Glen J. Pearson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | Familial hypercholesterolemia: Review of diagnosis, screening, and treatment. | 47 |
| 9 | 45 | |
| 10 | 189 | |
| 11 | 68 | |
| 12 | 25 | |
| 13 | 9 | |
| 14 | Some personal thoughts on question period | 1 |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 19 | |
| 19 | 3 | |
| 20 | 8 |
About Glen J. Pearson
Glen J. Pearson is a scholar working on Geriatrics and Gerontology, Transplantation and Surgery, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (27 papers), Pharmaceutical Practices and Patient Outcomes (23 papers) and Health Systems, Economic Evaluations, Quality of Life (19 papers). The work is most often cited by research in Geriatrics and Gerontology (253 citations), Family Practice (72 citations) and Transplantation (70 citations). Glen J. Pearson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Arden R. Barry, Ross T. Tsuyuki, Ricky D. Turgeon, Robert A. Hegele, Jean Bergeron, Milan Gupta, David Fitchett, Jiří Fröhlich, A. Yashar Tashakkor and Dominic S. Ng. Their work appears in journals such as The American Journal of Cardiology, American Journal of Transplantation and Atherosclerosis.
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.