Pierre Duquette
- Pathology and Forensic Medicine top 0.1%
- Multiple Sclerosis Research Studies 83
- Immunology top 1%
- Immunotherapy and Immune Responses 11
- T-cell and B-cell Immunology 11
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Peripheral Neuropathies and Disorders 8
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Peripheral Neuropathies and Disorders 8
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 10
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- Polyomavirus and related diseases 14
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- Autoimmune and Inflammatory Disorders Research 7
- Co-authors
- Marc GirardAlexandre PratJack P. AntelA. Dessa SadovnickGeorge C. EbersJosée PoirierNathalie ArbourHania Kébir
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Pierre Duquette
122 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Pathology and Forensic Medicine 4.1k
- Immunology 2.4k
- Neurology 764
- Neurology 1.4k
- Rheumatology 1.2k
Countries citing papers authored by Pierre Duquette
This map shows the geographic impact of Pierre Duquette'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 Duquette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Duquette more than expected).
Fields of papers citing papers by Pierre Duquette
This network shows the impact of papers produced by Pierre Duquette. 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 Duquette. The network helps show where Pierre Duquette may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierre Duquette, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 72 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 47 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 8 | |
| 10 | Genome-wide scan identifies association between an interferon regulatory factor-related variant and interferon-beta induced liver injury in multiple sclerosis patients | 2016 | 1 |
| 11 | 2016 | 64 | |
| 12 | 2016 | 5 | |
| 13 | 2014 | 16 | |
| 14 | 2012 | 9 | |
| 15 | The Multiple Sclerosis Severity Score (MSSS) re-examined: EDSS rank stability in the MSBase dataset increases 5 years after onset of multiple sclerosis | 2009 | 3 |
| 16 | 2002 | 40 | |
| 17 | 2002 | 100 | |
| 18 | 1998 | 74 | |
| 19 | 1993 | 316 | |
| 20 | 1987 | 257 |
About Pierre Duquette
Pierre Duquette is a scholar working on Pathology and Forensic Medicine, Neurology and Immunology, having authored 129 papers that have together received 7.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (83 papers), Polyomavirus and related diseases (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers), Systemic Lupus Erythematosus Research (10 papers), Peripheral Neuropathies and Disorders (8 papers) and Autoimmune and Inflammatory Disorders Research (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (4.1k citations), Immunology (2.4k citations) and Neurology (764 citations). Pierre Duquette has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Marc Girard, Alexandre Prat, Jack P. Antel, A. Dessa Sadovnick, George C. Ebers, Josée Poirier, Nathalie Arbour, Hania Kébir, Pierre J. Talbot and Igal Ifergan.
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.