Pierre Chartrand
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
-
- DNA Repair Mechanisms 18
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 3
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- Blood groups and transfusion 7
- Co-authors
- Hugo Würtele (3 shared papers)Abdellah Belmaaza (12 shared papers)Francine Décary (8 shared papers)Neil M. Wilkie (3 shared papers)Mario C. Filion (5 shared papers)Clyde S. Crumpacker (3 shared papers)Denis L’Abbé (4 shared papers)Mindy Goldman (5 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Journal of Virology (5 papers)Virology (4 papers)Nucleic Acids Research (4 papers)Human Immunology (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Pierre Chartrand
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 59
- Hematology 330
- Molecular Biology 657
- Epidemiology 306
- Genetics 210
- Oncology 77
Countries citing papers authored by Pierre Chartrand
This map shows the geographic impact of Pierre Chartrand'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 Chartrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Chartrand more than expected).
Fields of papers citing papers by Pierre Chartrand
This network shows the impact of papers produced by Pierre Chartrand. 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 Chartrand. The network helps show where Pierre Chartrand may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Chartrand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 126 | |
| 2 | 1992 | 116 | |
| 3 | 2006 | 107 | |
| 4 | 1980 | 93 | |
| 5 | 1994 | 83 | |
| 6 | 1979 | 78 | |
| 7 | 1980 | 67 | |
| 8 | 1991 | 66 | |
| 9 | 1992 | 56 | |
| 10 | 1994 | 53 | |
| 11 | 1994 | 50 | |
| 12 | 1995 | 48 | |
| 13 | 1996 | 42 | |
| 14 | 1979 | 40 | |
| 15 | 2000 | 36 | |
| 16 | 1979 | 30 | |
| 17 | 1992 | 29 | |
| 18 | 1987 | 28 | |
| 19 | 1982 | 27 | |
| 20 | 1994 | 27 |
About Pierre Chartrand
Pierre Chartrand is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Epidemiology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (18 papers), Blood groups and transfusion (7 papers), Polyomavirus and related diseases (6 papers), Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (6 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hematology (330 citations), Molecular Biology (657 citations), Epidemiology (306 citations), Genetics (210 citations) and Oncology (77 citations). Pierre Chartrand has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hugo Würtele, Abdellah Belmaaza, Francine Décary, Neil M. Wilkie, Mario C. Filion, Clyde S. Crumpacker, Denis L’Abbé, Mindy Goldman, Morag C. Timbury and Éric Milot. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Virology, Nucleic Acids Research and Human Immunology.
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.