Pierre Beauparlant
- Molecular Biology top 10%
- Immunology top 5%
- Cancer Research top 5%
- Oncology top 10%
- Epidemiology
- Co-authors
- John HiscottRongtuan LinAnne RoulstonGordon C. ShoreMark A. WainbergConstantin MakrisSylvain MelocheDaniel Goulet
- Topics
- NF-κB Signaling Pathways (9 papers)Immune Response and Inflammation (6 papers)interferon and immune responses (4 papers)
- Cited by
- VirologyCancer ResearchImmunology
In The Last Decade
Pierre Beauparlant
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 874
- Immunology 495
- Cancer Research 394
- Oncology 329
- Epidemiology 196
Countries citing papers authored by Pierre Beauparlant
This map shows the geographic impact of Pierre Beauparlant'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 Pierre Beauparlant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Beauparlant more than expected).
Fields of papers citing papers by Pierre Beauparlant
This network shows the impact of papers produced by Pierre Beauparlant. 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 Pierre Beauparlant. The network helps show where Pierre Beauparlant may publish in the future.
Co-authorship network of co-authors of Pierre Beauparlant
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Beauparlant. A scholar is included among the top collaborators of Pierre Beauparlant 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 Pierre Beauparlant. Pierre Beauparlant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 1 | |
| 3 | GMX1777: a novel inhibitor of NAD+ biosynthesis via inhibition of nicotinamide phosphoribosyl transferase. | 2 |
| 4 | 4 | |
| 5 | 45 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 93 | |
| 9 | Therapeutic activation of caspases in cancer: a question of selectivity. | 24 |
| 10 | 66 | |
| 11 | 48 | |
| 12 | 19 | |
| 13 | 120 | |
| 14 | 186 | |
| 15 | 32 | |
| 16 | Retrovirus-mediated transfer of nuclear factor-kappa B subunit genes modulates I kappa B alpha and interferon beta expression. | 8 |
| 17 | 44 | |
| 18 | 1 | |
| 19 | 42 | |
| 20 | 1 |
About Pierre Beauparlant
Pierre Beauparlant is a scholar working on Virology, Cancer Research and Immunology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (9 papers), Immune Response and Inflammation (6 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Virology (150 citations), Cancer Research (394 citations) and Immunology (495 citations). Pierre Beauparlant has collaborated with scholars based in Canada, Australia and Spain. Frequent co-authors include John Hiscott, Rongtuan Lin, Anne Roulston, Gordon C. Shore, Mark A. Wainberg, Constantin Makris, Sylvain Meloche, Daniel Goulet, Laurent Bélec and Enrico O. Purisima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.