P J Lupien
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Cancer Research
- Co-authors
- Sital MoorjaniJean‐Pierre DesprésClaude BouchardAndré NadeauBenoı̂t LamarcheBernard CantinAngelo TremblayWilliam J. Cain
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Lipoproteins and Cardiovascular Health (3 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- CanadaRussiaUnited States
In The Last Decade
P J Lupien
14 papers receiving 664 citations
Peers
Comparison fields: 5 of 73
- Surgery 388
- Endocrinology, Diabetes and Metabolism 245
- Cardiology and Cardiovascular Medicine 160
- Physiology 156
- Cancer Research 143
Countries citing papers authored by P J Lupien
This map shows the geographic impact of P J Lupien'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 P J Lupien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P J Lupien more than expected).
Fields of papers citing papers by P J Lupien
This network shows the impact of papers produced by P J Lupien. 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 P J Lupien. The network helps show where P J Lupien may publish in the future.
Co-authorship network of co-authors of P J Lupien
This figure shows the co-authorship network connecting the top 25 collaborators of P J Lupien. A scholar is included among the top collaborators of P J Lupien 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 P J Lupien. P J Lupien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 121 | |
| 2 | 50 | |
| 3 | 169 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | Adipose tissue lipolysis after long-term overfeeding in identical twins. | 25 |
| 7 | 10 | |
| 8 | 34 | |
| 9 | Alcohol consumption and plasma lipoproteins. | 4 |
| 10 | Relation of high plasma triglyceride levels associated with obesity and regional adipose tissue distribution to plasma lipoprotein-lipid composition in premenopausal women. | 65 |
| 11 | Sensitivity to overfeeding: the Quebec experiment with identical twins. | 35 |
| 12 | 64 | |
| 13 | Smoking, alcohol consumption, lipid and lipoprotein levels. | 11 |
| 14 | 84 |
About P J Lupien
P J Lupien is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Biochemistry, having authored 14 papers that have together received 694 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Cancer Research (143 citations) and Surgery (388 citations). P J Lupien has collaborated with scholars based in Canada, Russia and United States. Frequent co-authors include Sital Moorjani, Jean‐Pierre Després, Claude Bouchard, André Nadeau, Benoı̂t Lamarche, Bernard Cantin, Angelo Tremblay, William J. Cain, Gilles R. Dagenais and David Usher. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.